Foreword The European Summer Institute (ESI) has been established to promote and stimulate high-quality analysis and public debate on economic, monetary and financial policy issues in Europe. The aim of the ESI is trying to bring together leading researchers and senior policy-makers from central banks, ministries of finance and economics and other institutions in the European Union, in order to create both a meeting place and an informal network to stimulate the discussion of these key policy issues. We hope that this report of last years conference, based on the authors’ summary of the papers they presented at the conference, will widen the debate and stimulate further discussion in the academic and policy communities. We are grateful to the authors for their work in preparing these summaries. The founding members and sponsors of the ESI are the Deutsche Bundesbank, the Nederlandsche Bank, the National Bank of Belgium, the Bank of Finland, the European Central Bank, the Oesterreichische Nationalbank and the Banco de Portugal. The seventh conference ‘The Euro Area as an Economic Entity’ was organized jointly with the Centre for Economic Policy Research (CEPR), and was hosted by The Deutsche Bundesbank, Eltville (Frankfurt-am-Main) on 12-13 September 2003. We thank the Deutsche Bundesbank for their generosity in hosting and supporting this meeting. March 2004 Sylvester Eijffinger Kees Koedijk ii Table of Contents Foreword ii Table of Contents iii Introduction 1 Summaries of the papers presented at the conference: Gert Peersman 4 What Caused the Early Millennium Slowdown? Evidence based on Vector Autoregressions Sylvia Kaufmann 11 The Business cycle of European Countries. Bayesian Clustering of Country-Individual IP Growth Series Lucrezia Reichlin 17 Business Cycles: A Comparison between the US and Europe Jeffry Frieden 19 The Political Economy of International Institutions Jeffrey Frankel and Menzie David Chinn 26 World Interest Rates Ignazio Angeloni and Michael Ehrmann 38 Monetary Policy Transmission in the Euro Area: Any Changes after EMU? Hermann Remsperger 45 Inflation Differentials in EMU: Causes and Consequences iii Introduction Summarized by Fred Ramb (The Deutsche Bundesbank) The seventh annual conference of the Center for Economic Policy Research and the European Summer Institute, which in 2003 was sponsored by the Bundesbank, was held in Eltville in mid-September. The main purpose of these annual conferences is to enrich the dialogue between universities and research institutions, on the one hand, and the central banks, on the other. At this vibrant forum for facilitating an exchange of ideas between central bankers and academics topical monetary policy issues are discussed, and the latest research results are presented. The theme of last year’s conference was “The euro area as an economic entity”. In his introductory remarks Bundesbank Vice President Jürgen Stark spoke about evaluating the ECB’s monetary policy strategy, about the different economic cycles in the member states and the associated differences in inflation rates, and the Stability and Growth Pact. He concentrated on the pact and emphasized, among other things, the need for member states to coordinate their fiscal, labor market and structural policies if an increasing degree of integration is to be achieved in Europe. During his speech Stark handed over the prize for the best central bank research paper. Gert Peersman of the Bank of England was presented with the award for his research on “What caused the early millennium slowdown? Evidence based on vector autoregressions”. It is interesting to note that the three best authors are working for central banks outside their respective home countries, a fact that illustrates the growing exchange of staff within the European national central banks. Otmar Issing (member of the Executive Board of the ECB) spoke about the increasing international role of the euro. In the first quarter of 2003, for example, about 41% of the debt securities held worldwide were denominated in euro. By way of comparison, 43% of debt securities were denominated in US dollars and 5% in Japanese yen. He attributed this not least to the euros stability resulting from the stability-oriented policy pursued by the ECB. The research paper presented by Peersman examines the causes of the economic crisis in industrial countries such as the United States and the euro-area countries at the beginning of the new millennium. Four different shocks – a supply shock, a demand shock, a monetary policy shock and an oil price shock – can be identified using a comparatively simple VAR model. In fact, the cause of the cyclical downturn turns out to be an interaction of several shocks. However, the results are not independent of the chosen method. Making alternative assumptions for the specification can lead to different values for the respective impact of the identified effects. David Mayes of the Bank of Finland presented the research paper “Asymmetries in the euro-area economy” jointly with Matti Virén 1 (Bank of Finland). In an empirical analysis of the period between 1987 and 2000 the authors investigate the extent to which asymmetries are identifiable in the monetary policies applying within the European Union. They conclude that inflationary shocks which substantially exceed a set inflation target are associated with a greater policy response from the central bank than smaller shocks are. This also applies to the reaction of monetary policymakers to deviations from the output gap. The two authors therefore suggest that the ECB refrain from fine-tuning measures but, instead, should react only to fundamental macroeconomic shocks. Sylvia Kaufmann of the Oesterreichische Nationalbank presented the third research paper (“The business cycle of European countries; Bayesian clustering of country-individual industrial production growth series”). This study uses panel data and Bayesian methodology in an attempt to identify a possible congruence in the economic cycles within Europe and vis-à-vis other industrial nations. Congruent economic cycles can be identified for the most part within the European Union. Furthermore, it is possible, first, to distinguish between a European and an overseas economic cycle and, second, to identify a difference in the timing of economic cycles in the case of two European states (Finland and Ireland). Until the beginning of the 1990s these two economies had economic cycles that were more or less in line with those of countries overseas (Australia, Canada, Japan and the United States) but have since converged significantly towards a European economic cycle. The second day of the conference started with a paper from Lucrezia Reichlin from the University of Brussels. She discussed the extent to which real-time data should be used for empirical analyses and presented results from empirical studies on economic cycles in the European Union, the United States and the United Kingdom in which real-time data had been used. In Reichlin’s view it is difficult to conduct a timely economic analysis on the basis of GDP data. The reasons for this are that GDP data are available only on a quarterly basis and with a three-month delay, entail comparatively sizeable measurement errors and are therefore subject to adjustment. In the case of some European countries this situation is seen as a major problem and has led to demands for better official statistics. “One Europe, one vote?” This was the question posed by Jeffry Frieden of Harvard University in his research paper. Taking a theoretical approach, the author discussed the extent to which different forms of voting behavior in the EU member states influence negotiating powers. Optimal voting behavior is a trade-off between the advantages of having considerable voting clout in a standardized voting procedure and the disadvantages which arise from making compromises owing to heterogeneous interests. Menzie Chinn of the University of Wisconsin presented a paper jointly with Jeffrey Frankel of Harvard University. The paper, entitled “World interest rates”, examines interest rate levels worldwide. By means of a panel study based on data for the United States, Germany, France, Italy, Spain and the United Kingdom between 1973 and 2003, the authors analyse how far short-term and long-term interest rates were determined by monetary policy in the United States or in Europe. The United States was found to dominate during the past three decades. Although long-term real interest rates in the 2 United States and Europe have converged significantly since 1999, no empirical analysis has so far been made owing to methodological problems and the absence of a structural model. The monetary transmission process since the beginning of European monetary union was the subject of the paper by Ignazio Angeloni and Michael Ehrmann of the European Central Bank. In their empirical analysis the authors focus on the banking channel, the interest rate channel and the capital market channel. There are indications that the transmission channel via the banks has grown in importance and has become more homogeneous within the member states. The interest rate channel changed with the start of European monetary union and now has a largely uniform effect in the member states. The authors come to a similar conclusion with regard to the capital market channel. In his closing address Hermann Remsperger discussed the reasons for and the consequences of inflation rate differentials in the euro-area countries. No one fundamental reason for inflation differentials has been identified. We emphasize that we found several causes for inflation differentials. Empirical studies indicate that may be due to different output gaps and different price movements within the member states, and so regional differences within the euro area cannot be ruled out. However, it must be assumed that a self-correcting mechanism will develop in the long term within any monetary union with a single monetary policy. Yet persistent inflation differentials carry a macroeconomic cost, not to mention the fact that they also result in interregional tensions. As the ECB’s monetary policy cannot take account of regional aspects, it is the responsibility of the member states to overcome shocks on both the supply and demand sides. Wage policy plays an important role in this context. Finally, with regard to EU enlargement, it will be necessary for the new member states to bring their respective inflation rates as closely into line with the existing inflation target as possible. The eighth annual conference of the Center for Economic Policy Research and the European Summer Institute next year will probably be convened in an east European city. 3 What Caused the Early Millennium Slowdown? Evidence based on Vector Autoregressions Gert Peersman (Bank of England) 1. Introduction Between the first quarter of 1994 and the second quarter of 2000 (1994Q1-2000Q2), industrialized world (aggregate of 17 countries) real GDP grew at an average annual rate of 3.1 percent. This was even 3.9 percent for the US. At the same time, annual inflation was historically very low: on average less than 2 percent. Activity weakened at the end of 2000 and industrialized countries experienced negative growth by the end of 2001. In the paper, we analyze the underlying sources of this slowdown and the preceding expansion. Since the seminal work of Sims (1980), vector autoregressions (VARs) are often used as a tool for analyzing underlying shocks in explaining recessions, as in Blanchard (1993) and Walsh (1993), each of whom analyze the 1990-1991 recession in the US. Blanchard (1993) estimates a VAR on the components of GDP and finds that the recession was associated with large negative consumption shocks. Walsh (1993) analyses aggregate supply, aggregate spending, money demand and money supply disturbances. His results suggest that the downturn was due to restrictive monetary policy and negative aggregate spending factors. In contrast to these papers, we focus on the recent slowdown. Moreover, our analysis is done at the industrialized world level, and a comparison is made between the US and the Euro area. Within this VAR framework, we identify four types of underlying disturbances, i.e. an oil price, aggregate supply, aggregate demand (spending) and monetary policy shock. In order to identify these shocks, we compare two strategies. The first is based on conventional zero contemporaneous and long-run restrictions. As an alternative, we propose an identification scheme based on more recent sign restrictions. The latter is the main methodological contribution of the paper and allows us to check whether the identification strategy matters for the results. 2. A simple model for the industrialized world, US and Euro area In the paper, we estimate a simple four-variables VAR for the sample period 1980Q1-2002Q2. The variables that we include in the VAR are the first difference of oil prices, output growth, consumer inflation and the short-term nominal interest rate. We identify four types of underlying disturbances, respectively an oil price, aggregate supply, aggregate demand (spending) and monetary policy shock. Because there is a continuous interaction among all variables in the system, it is not possible to estimate the immediate impact of the shocks on the variables. This well known identification problem has to be solved and is typically done by imposing a number of restrictions. Two different procedures are discussed below. The first is based on traditional zero contemporaneous and long run restrictions, and as an alternative, we provide results based on sign restrictions. Traditional identification strategy For the traditional identification strategy, we use an extended version of the Gali (1992) and Gerlach and Smets (1995) approach. In order to identify oil price shocks, we assume that there is a contemporaneous impact of an oil price shock on all the other variables in the system, but no 4 immediate impact of the other shocks on oil prices. The assumption of exogenous contemporaneous oil price movements is commonly used in the empirical VAR-literature. For instance, studies examining the monetary transmission mechanism assume no immediate impact of monetary policy shocks on commodity or oil prices. As the oil price is a financial variable, this assumption is questionable and will be relaxed in our alternative procedure. Following Blanchard and Quah (1989), we rely on a vertical long-run Philips curve to assume that demand and monetary policy shocks have no long-run impact on the level of real output. Supply shocks are thus associated with permanent shocks to output. These restrictions are better justified by economic theory. Nevertheless, some equilibrium growth models (for example many overlapping generations models or models with hysteresis effects) allow for permanent effects of aggregate demand and monetary policy shocks on output because they can affect the steady state level of capital. Furthermore, relying on long-run conditions can be highly misleading from an empirical point of view. Faust and Leeper (1997) show that substantial distortions are possible due to small sample biases and measurement errors when using these type of restrictions. Again, this long run neutrality is relaxed when we use sign constraints as an alternative. In order to discriminate between aggregate spending and monetary policy shocks, we follow the literature on the monetary transmission mechanism and use the restriction that monetary policy shocks have no immediate effect on output, i.e. there is a lag in the transmission process. There is, however, no theoretical reason to justify this restriction which is inconsistent with a large class of general equilibrium monetary models. The latter problem is avoided with an procedure based on sign restrictions. Identification based on sign restrictions In order to check the robustness of the results, we use an alternative approach that does not suffer from these problems. Faust (1998), Uhlig (1999) and Canova and De Nicoló (2002) introduce sign restrictions on the impulse response functions to identify a monetary policy shock. The advantage of their strategy is that zero constraints on the contemporaneous impact or the long-run effects of the shocks are not necessary. Instead, their approach only makes explicit use of restrictions that researchers often use implicitly. In their analysis, researchers experiment with the model specification until the results look reasonable. For example, according to conventional wisdom, a restrictive monetary policy shock is expected to have a negative impact on prices and a temporary effect on output. This a priori theorizing is made more explicit with sign restrictions, and at the same time, no additional short and long-run restrictions are necessary. In contrast to the existing literature, we do not only identify monetary policy shocks, but a full set of shocks (oil price, supply, demand and monetary policy). The identification of additional shocks should also help to identify the monetary policy shock. As already mentioned, because there is a continuous endogenous interaction between all the variables in the system, it is not possible to estimate the effects of the shocks on the variables. In order to decompose the interactions between the variables, a set of restrictions are typically imposed (see above). There are, however, an infinite number of possible decompositions and the traditional identification strategy only generates one of them. In our alternative procedure, we generate ALL possible decompositions (in order to transform an infinite number of decompositions into a large but 5 finite number, we use a grid interval) and select the decompositions that are consistent with a number of imposed sign conditions. Results are then presented for the median of all accepted decompositions and certain percentiles. The following sign restrictions are used in the paper to identify the shocks. These restrictions are based on conventional wisdom and are consistent with traditional aggregate supply – aggregate demand schemes. After a positive oil price shock (increase of oil prices), there is no increase of output, no decrease of prices and no decrease of the interest rate. Output does not decrease after a positive supply shock. In addition, there is no increase of prices and the interest rate. A positive aggregate demand shock has no negative impact on output. There is no decrease of prices, no decrease of the interest rate and no decrease of the oil price level. An unexpected rise in the interest rate (monetary policy shock), results in no increase of output and no increase of the price level. Moreover, there is no increase of the oil price level. Are the impulse responses different for both strategies? Because we impose the restrictions of ‘no increase’ instead of ‘decrease’, a majority of decompositions based on traditional restrictions are part of the solutions obtained with sign restrictions. This allows us to situate the traditional solution in the whole distribution of possible solutions obtained with sign restrictions. In general, impulse response functions to all shocks look very similar for both approaches, but there are some interesting differences. For instance, the response of oil prices to a demand and monetary policy shock is substantial larger when using sign restrictions. The magnitude is around three times as high. The largest part of the effect is even instantaneously. This illustrates that contemporaneous zero constraints for oil prices in the traditional approach is too stringent. Oil prices do react endogenously to other shocks in the economy. Ignoring this implies that part of the demand and monetary policy shocks are identified as oil price shocks. On the other hand, we do not find permanent effects of a monetary policy and aggregate spending shock on the level of output. This restriction was imposed in the traditional strategy, but is now a result obtained from the estimations. Whilst the immediate effect of a monetary policy shock on output is restricted to be zero in the conventional literature, we find a substantial effect with our alternative approach. More than 1/3 of the total impact is estimated to occur within one quarter. In order to illustrate the quantitative importance of the differences, Figures 1 and 2 show the results of two topical simulations. The first, Figure 1, is an exogenous rise in oil prices of 10 percent. The black lines are the medians of the responses based on sign restrictions, together with 84 th and 16th percentiles error bands (dotted black lines). The grey line is the estimated response based on traditional restrictions. The response of prices is very similar across both methods: the result of the conventional approach lies within the confidence bands of the sign conditions. The response of output, however, is estimated to be much smaller with traditional restrictions, and lies even outside the error bands. This implies that the solution obtained with conventional restrictions lies in the tails 6 (below 16th percentile) of all possible solutions. The difference is also economically very important. A 10 percent increase in the oil price has a long-run negative effect on output of 0.22 percent with traditional restrictions. The median response based on sign restrictions predicts an impact of 0.48 percent, which is more than double. Figure 1: Responses to a 10 percent rise in oil prices Output Prices 0.1 0.8 0.0 0.7 -0.1 0.6 -0.2 0.5 -0.3 0.4 -0.4 0.3 -0.5 0.2 -0.6 0.1 -0.7 -0.8 0.0 0 4 8 12 16 20 0 4 8 quarters 12 16 20 quarters The second simulation, shown in Figure 2, is an exogenous increase of the interest rate of 50 basis points. The results are clearly different. The responses based on conventional restrictions lie mostly outside the error bands of the distribution of sign constraints. The response of oil prices is much smaller: 2.7 percent in the long-run, compared to a median response of 21 percent with sign restrictions. More relevant for the monetary transmission mechanism is a much smaller effect on output and prices with traditional restrictions. The maximum impact on output is -0.27 percent with conventional restrictions, whilst the impact is estimated to be between -0.39 and -1.04 percent with sign constraints, economically and important difference. The long-run impact on prices obtained with traditional methods lies just inside the error bands (though not in the short-run). The difference with the median estimate based on sign conditions is, however, very high. The latter is more than double: -0.81 percent compared to -0.32 percent using conventional restrictions. In sum, the differences between both approaches for the impact of an exogenous oil price and monetary policy shock are substantial and economically very relevant. Figure 2: Responses to a 50 basis points increase in the interest rate Output Prices 1.0 Oil price 0.0 0.8 5 0 -0.2 0.6 -5 -0.4 0.4 -10 0.2 -0.6 -15 0.0 -0.8 -0.2 -20 -1.0 -0.4 -25 -0.6 -1.2 -30 -0.8 -1.4 -1.0 -1.2 -35 -40 -1.6 0 4 8 12 quarters 16 20 0 4 8 12 16 20 0 4 quarters 8 12 16 20 quarters 3. Decomposing output: an analysis of the early millennium slowdown Based on the estimates, we can calculate the shocks and the cumulative effects of these shocks on output. This means that output can be written as the sum of a deterministic component, the contribution of current and past oil price shocks, current and past aggregate supply shocks, current 7 and past aggregate demand shocks, and current and past monetary policy shocks. The contributions of the shocks to the level of industrialized world output (measured as a deviation from deterministic output) are presented in Figure 3 for the period 1995Q1-2002Q2.1 Figure 3: Contribution of shocks to industrialized world output Traditional restrictions Sign restrictions 2.5 2.5 2 2 1.5 1.5 1 1 0.5 0.5 0 0 -0.5 -0.5 -1 -1 1995Q1 1996Q1 1997Q1 1998Q1 1999Q1 2000Q1 2001Q1 2002Q1 oil supply demand monetary 1995Q1 1996Q1 1997Q1 1998Q1 1999Q1 2000Q1 2001Q1 2002Q1 oil supply demand monetary Starting in 1995, there is a continuous increase in the level of output due to positive supply shocks (typical characterized as the new economy). These positive effects stagnate around 2000Q2, after which there is a negative contribution of supply shocks to output until the end of 2002Q2. These results are very consistent across both identification strategies. The fall in output is only a bit more pronounced with the conventional approach. Annual growth was on average more than 0.3 percent higher as a result of positive non-oil supply shocks between 1995 and 2000 for both methodologies. Also the results for the contribution of demand shocks are very similar for both approaches. The contribution to output growth was positive in 1998 and 1999, but turned negative in 2000 and 2001. For the last three quarters of 2001, negative demand shocks made a substantial contribution to the slowdown of around 1 percent. In 2002, the contribution to output growth is again positive. The negative supply and demand shocks are accompanied by a negative impact of oil price shocks. The result is, however, highly influenced by the methodology used. For both methods, we find that declines in oil prices during the period 1997-1998 had positive effects on output afterwards. The figures are, on the other hand, different for the increases of oil prices in 1999 and the first quarter of 2000. With conventional methods, as a result of a slow pass-through of oil price shocks, this had a negative and highly significant impact on industrialized world output growth of 0.44 percent in 2001. This finding is not consistent with the results obtained using alternative restrictions: the impact of oil price shocks is estimated to be negligible. The opposite is true for the impact of monetary policy shocks. Both methods find a significant positive contribution of monetary policy shocks to output growth in 2000 as a result of easy monetary policy in 1 Tables with the contribution to output growth and inflation are included in the paper. 8 1999. The magnitude is much larger with sign restrictions. On the other hand, restrictive monetary policy had an insignificant effect on output growth in 2001 using conventional restrictions, but restrictive monetary policy played an important and significant role using sign conditions: industrialized world output is estimated to have fallen by 0.38 percent in 2001. In sum, we find a very important role for aggregate demand and aggregate supply shocks in explaining the recent slowdown across both identification methods. With traditional restrictions, we also find a considerable impact of oil price shocks, while restrictive monetary policy played a major role with sign conditions. These results indicate that a lot of the effects of oil price shocks from the traditional approach are picked up by monetary policy shocks using sign conditions in explaining the recent slowdown, and illustrate that restricting the contemporaneous response of oil prices and output to monetary policy shocks to be zero can have a substantial influence on the results and the conclusions. 4. Comparison between the United States and the Euro area An extension of the analysis involves making a comparison between the United States and the Euro area. The contributions of the shocks to output are presented in Figure 4 for respectively the traditional approach and sign restrictions procedure. A first feature is that the contribution and volatility of the shocks was much higher in the US over the past seven years (which is not the case for the whole sample period). With respect to oil price shocks, the results are very similar for both areas and consistent with the aggregate results. We find a negative effect on output with the traditional approach and almost no effect with sign conditions (even positive effects for US in 2002). Whilst the effects of oil price shocks had the same sign and magnitude in both areas, this is not the case for the other shocks. Figure 4: Contribution of shocks to output in United States and Euro area Euro area - traditional US - traditional 5 5 4 4 3 3 2 2 1 1 0 0 -1 -1 -2 -2 1995Q1 1996Q1 1997Q1 oil 9 1998Q1 supply 1999Q1 2000Q1 demand 2001Q1 2002Q1 monetary 1995Q1 1996Q1 1997Q1 oil 1998Q1 supply 1999Q1 2000Q1 demand 2001Q1 2002Q1 monetary US - sign Euro area - sign 5 5 4 4 3 3 2 2 1 1 0 0 -1 -1 -2 1995Q1 -2 1996Q1 1997Q1 oil 1998Q1 supply 1999Q1 2000Q1 demand 2001Q1 2002Q1 monetary 1995Q1 1996Q1 1997Q1 oil 1998Q1 supply 1999Q1 2000Q1 demand 2001Q1 2002Q1 monetary With conventional restrictions, supply shocks made an accumulated positive contribution to output of 4.4 percent over the period 1996-2000 for the US, while this was hardly 1.4 percent for the Euro area for the same period. The ‘new economy’ idea was clearly more a US phenomenon. Moreover, negative supply shocks led to a fall in output of 0.7 percent in 2001 in the US but only 0.1 percent in EMU. This difference between both areas also emerges with sign restrictions. The pattern of demand shocks was different across both areas. In the US, the contribution of demand shocks to output between 1996 and 2001 is always above baseline with traditional restrictions and most of the time with sign constraints. From the beginning of 2000 onwards, demand shocks became mainly negative and the contribution to output turned below baseline in 2001. Accordingly, output growth was respectively 1.07 and 1.26 percent lower in 2001 for both approaches. For the Euro area, there were a number of negative demand shocks between 1995 and 1997 with corresponding effects on output, after which there was a positive trend, though very small in magnitude, until the end of 2000. In 2001, Euro area output fell respectively 0.10 and 0.33 percent due to negative demand shocks for our two methods. Monetary policy was rather stimulating until the beginning of 2000. This reinforced the ongoing boom in the US. Consistent with industrialized world aggregates, this effect is more pronounced with sign conditions. According to the latter method, output growth is estimated to have been 1.11 percent higher in 2000 as a result of weak monetary policy. Conversely, monetary policy became very restrictive by the end of 2000. With conventional constraints, the contribution of tight monetary policy to the recession in 2001 was very modest. Using sign restrictions, however, annual growth was 0.53 percent lower. In the Euro area, policy became stimulating in 1999, after the introduction of the euro. European Central Bank interest rates were always below an average policy rule until the middle of 2000. The impact on output growth was significantly positive in 2000. From the middle of 2000 onwards, in contrast to the US, monetary policy was always relatively neutral in the Euro area. We find, however, a significant negative effect on output growth in 2001Q3 and Q4 using sign restrictions. This is mainly the result of reversed effects of past stimulating shocks following long-run neutrality of monetary policy on the level of output. 10 Conclusions In the paper, we have analyzed the underlying sources of the early millennium slowdown using a simple four variables VAR for the industrialized world, US and Euro area. Within this VAR, four shocks are identified, i.e. supply, demand, monetary policy and oil price shocks, based upon two different identification strategies. One is based on traditional zero contemporaneous and long-run constraints, and we propose an alternative based on more recent sign restrictions. We find that the recent slowdown is caused by a combination of several shocks. Across both methodologies, we find an important role for negative aggregate spending shocks. In addition, there were negative aggregate supply shocks, negative effects of restrictive monetary policy in 2000 and a negative impact of oil price increases in 1999. The magnitude of the latter two is significantly different between both approaches. We find an important role for oil price shocks with conventional restrictions and for monetary policy shocks using sign conditions. The effects of the shocks are more pronounced in the US than the Euro area. 11 The business cycle of European countries. Bayesian clustering of country-individual IP growth series. A shortcut with possible extensions. Sylvia Kaufmann (Oesterreichische Nationalbank) Questions and some answers The paper deals with the question whether the growth rate of industrial production has followed the same or a similar business cycle pattern in euro area countries and in all European countries. Moreover, the approach taken here allows to assess the relation of the European countries with transatlantic or “overseas” countries, in particular Australia, Canada, Japan and the United States. The focus lies on three different observation periods, a long-term historical perspective (1978-2001), a medium-term (1990-2001) and a short-term perspective (1999-2001), which reveals whether the synchronization of IP growth has changed among the countries in the course of increasing European integration. The results give answers to the following questions: (i) Is there a common growth cycle for the euro area countries? Generally there is, as well in the long-term historical perspective as in the medium-term perspective (during the 1990s). In the recent past (1999-2001), however, the countries may be divided into two groups, whereby the largest euro area countries along with Spain, Austria, Belgium and Greece experienced a shorter expansion period than the remaining countries. (ii) Can we discriminate between a “European” and an “overseas” cycle? Yes; when the analysis includes Australia, Canada and the US, these three countries characterize one group over all time horizons, while most European countries fall into the other group. (iii) Did the synchronization change over time? The increased integration of European countries is reflected in the changing classification of Finland and Ireland. While under the long-term historical perspective they follow more closely the “overseas” cycle, they follow more closely the European cycle during the nineties and during the recent past. There is also evidence for a changing synchronization between the European and the overseas cycle. Until the early nineties, overseas downturns were leading European downturns by half a year to about one year. During the nineties, however, overseas countries went through a long-lasting expansionary period while European countries experienced three full growth cycles. 12 (iv) Which countries follow the “overseas” rather than the “European” cycle? Noteworthy is that in contrast to previous studies, the UK, and also Japan, follow more closely the European rather than the overseas cycle over the long-term historical perspective. It is only during the recent three years, that both countries are classified into one group with Canada and the US. Finally, the downturn in these countries is identified to have begun already in the second half of 2000, before affecting all countries in 2001. The model and the estimation method The individual country series are analyzed within a panel data framework which enables us to enlarge the focus from the euro area towards a European versus overseas perspective and/or to restrict the analysis to the first three years of the common European currency. The model specification allows for a time-varying growth rate that switches according to a latent state indicator which itself follows a Markov switching process. Countries that follow the same or a similar switching pattern are grouped together whereby the groupings are not set a priori; rather, for a given number of groups, the classification is estimated along with all model parameters and the latent state indicator. For country i , the growth rate of industrial production (the first difference of the logarithmic level) evolves according to yit iG iR ( I it 1) i yi ,t 1 p yi ,t p it , with it ~ i.i.d. N (0, 2 ) , t 1,, T , (1) i 1, , N . For a single country, the model comes close to the one estimated for US GNP in Hamilton (1989). The country-individual growth rate latent state variable iG iR it G i it depends on a I it , which takes on the value 0 or 1: iff I it 0 iff I it 1 The latent specification for . I it takes into account that the state prevailing in each period is usually not observed with certainty. The process governing I it is Markov switching of order one to capture in addition the fact that recoveries and recessions may have a different duration: P( I it l | I i ,t 1 j ) ijl , with 1 l 0 i jl 1 , j 0,1 . Having a cross-section of countries, the aim is to group those together which behave similarly over time, i.e. which comove in the sequence of recoveries and slowdowns/recessions and which also experience similar growth rates over time. Again, the appropriate grouping is usually not known with certainty; therefore, a second latent variable, a group indicator, is introduced, which takes on the value k out of K possible values, Si k , k 1,, K . The country-individual growth rate it is finally specified as: kG kR iff S i k and I kt 0 G k iff S i k and I kt 1 it 13 , where the probabilities Thus, within a group P(Si k ) are given by kG , k 1,, K with the restriction kK1 kG 1 . k , the countries are pooled to estimate the group- and state-specific parameters ( kG , kR ) , and it is also the same state indicator that governs the switching process within the group, i.e. I it I kt iff S i k . Note finally, that the autoregressive parameters in equation (1) are assumed to be group-and stateindependent. Likewise the variance of the error terms is also assumed to be group-independent, i2 2 . The estimation of the model should yield an inference on the model parameters (gathered in the vector ) and additionally on the group and the (group-specific) state indicators. Note that, if we knew S N ( S1 ,, S N ) and I T ( I1T , , I KT ) , where I kT ( I kT , I k ,T 1 ,, I k1 ) , k 1,, K , we would be left with a regression model that could be estimated by standard classical methods like GMM in the present case. This would still be feasible if only one latent variable would be present, as the marginal likelihood L(Y T | , S N ) or alternatively L(Y T | , I T ) can be derived (and maximized). With both latent variables unknown, the marginal likelihood L(Y T | ) is not feasible.2 In this respect, using the hierarchical structure given within the Bayesian framework,3 the complexity can be reduced to obtain the inference on the joint posterior distribution ( , S N , I T | Y T ) by drawing iteratively from each conditional posterior distribution: (i) (S N | , I T ,Y T ) , (ii) (I T | , S N ,Y T ) , (iii) ( | S N , I T , Y T ) . The results briefly summarized above were obtained by iterating 10,000 over these sampling steps and discarding the first 4,000 to remove dependence from initial values. The remaining simulations were used to conduct the posterior inference, e.g. the mean and the standard error of the posterior distributions were estimated by the mean and the standard deviation of the simulated values. Comparisons to previous studies The obtained results are broadly consistent with previous studies that analyzed the synchronization and the correlation structure of European economies. Artis and Zhang (1997, 1999) find that the contemporaneous correlation between European countries has increased during the ERM period while at the same time the correlation with the US cycle has decreased. Forni and Reichlin (2001) analyze regional output fluctuations in 9 European countries and find out that the European component 2 To derive L(Y T | ) , we need to integrate out L(Y T | , S N ) over S N which itself depends on I T . The same applies if we want to marginalize L(Y T | , I T ) . 3 See Kaufmann (2003) for a detailed description of the hierarchical structure, the assumptions on the prior distributions and the derivation of the posterior distributions for each sampling step. 14 explains almost 50% of output growth in most regions and that it is highly correlated among the regions, which indicates a high degree of synchronization of output fluctuations in Europe. Finally, in a recent study, Mitchell and Mouratidis (2002) find that average correlation of various business cycle measures among the euro area countries has increased since the 1980s and continues to rise. The exception appears to be the United Kingdom, which, according to Artis, Krolzig and Toro (1999), follows more closely the US rather than the German cycle and, according to Forni and Reichlin (2001), has a larger national than European component in output fluctuations. The present results are partly at odds with this evidence as the UK follows the European countries more closely than the overseas countries, in the long-term historical perspective (1978-2001) as well as in the medium-term perspective (1990-2001). In the recent short-term perspective (1999-2001), however, it turns out that the UK has been moving more closely than before with the US and Canada. An additional byproduct of the estimation is obtained by using the inference on the posterior state probabilities to date business cycle turning points. For the euro area, they follow quite closely the dates for the 1990s published in the Monthly Bulletin of the ECB (2002) and lag the ones identified by EuroCOIN (see Altissimo et al., 2001) by two to three quarters. Implications of the model specification and extensions As already mentioned, the model specification assumes the same error variance and group- and state independent dynamics across all countries, i.e. group- and state-independent autoregressive parameters, too. It is the case, however, that different countries in the panel may exhibit different volatilities in their IP growth rates, whereby notably catching up countries (like Ireland or Portugal) experienced a higher volatility in growth rates than “core” euro area countries like France, Germany and Italy. To cope with this problem, all series are standardized prior to estimation, so that the groupings are estimated according to a similar growth pattern that is not due to differences in business cycle volatilities. Given the group- and state-independent dynamics in equation (1), the similar growth pattern we estimate refers to periods where a group of countries experienced a recovery or a slowdown broadly speaking at the same time, i.e. where growth rates were higher or lower at the same time. Thus, with this specification group-specific steepness and/or deepness are not captured. 4 Moreover, the series are not demeaned, so that the estimated groupings do also catch similar longterm growth perspectives (of the standardized series). If one would remove the country-specific mean growth rate, one first would have to decide whether to remove a constant or a time-varying trend reflecting changing long-term growth perspectives. Group-specific deepness would then be reflected in “asymmetric” state-specific growth rates, i.e. the above-average growth rate would be lower than the below-average growth rate (in absolute terms). Allowing for group- and state-specific autoregressive parameters would capture group-specific steepness of the business cycle, whereby a larger autoregressive parameter during below-average 4 These features and the ones addressed subsequently will be incorporated in an extensively revised version of the working paper. 15 growth periods would reflect the fact that growth deterioration and initial recovery phases are quite strong and fast, while maturing recovery periods are quite smooth. Finally, to avoid standardizing the series, one might generalize straightforwardly the variance process to country-specific variances, it ~ i.i.d.N (0, i2 ) , by introducing a weighting parameter i , which relates the country-specific variance to the overall error variance of the panel, i2 2 i (an approach pursued in Frühwirth-Schnatter and Kaufmann, 2003). References Altissimo, F., A. Bassanetti, R. Cristadoro, M. Forni, M. Lippi, L. Reichlin, and G. Veronese (2001), EuroCOIN: A real time coincident indicator of the euro area business cycle, Discussion Paper 3108, CEPR. Artis, M.J., H.-M. Krolzig, and J. Toro (1999), The European business cycle, Discussion Paper 2242, CEPR. Artis, M.J. and W.Zhang (1995), International business cycles and the ERM: Is there a European business cycle?, International Journal of Finance and Economics 2, 1-16. Artis, M.J. and W.Zhang (1999), Further evidence on the international business cycle and the ERM: Is there a European business cycle?, Oxford Economic Papers 51, 120-132. European Central Bank (2002), Characteristics of the euro area business cycle in the 1990s, Monthly bulletin, July, 39-49. Forni, M. and L. Reichlin (2001), Federal policies and local economies; Europe and the US, European Economic Review 45, 109-134. Hamilton, J.D. (1989), A new approach to the economic analysis of nonstationary time series and the business cycle, Econometrica 57, 357-384. Kaufmann, S. (2003), The business cycle of European countries. Bayesian clustering of countryindividual IP growth series, Working Paper 83, Oesterreichische Nationalbank. Frühwirth-Schnatter, S. and S. Kaufmann (2003), Model-based clustering of multiple time series, mimeo, Johannes Kepler University Linz and Oesterreichische Nationalbank. Mitchell, J. and K. Mouratidis (2002), Is there a common Euro-zone business cycle? National Institute of Economic and Social Research. 16 Business Cycle Empirics in the Euro Area Lucrezia Reichlin (Universite Libre de Bruxelles and CEPR) The presentation addresses several problems of empirical business cycle analysis in the Euro area. It started to ask whether it is possible to identify a euro area business cycle that has specific characteristics, possibly different from the US cycle and the English speaking group of countries within the G7. Two observations lead to think that business cycles in the G7 (with the exception of Japan) have been sharing common characteristics: Since 1963, output volatility has decreased everywhere. Cycles have become longer and less synchronized. Moreover, overall cross-correlation of output per capita in the G7 countries, have remained stable in the long-run (cycles eight years or longer). These observations apply to business cycles since the early sixties to the end of the nineties. But what about recent events, i.e. business cycles since the creation of the euro? The presentation highlights two facts: The US experienced a recent recession while this is not clear for the Euro area Since 2000, output in the euro area has been smoother than in the US, although growth has been lower. Although one can detect (and the NBER indeed declared it) a short recession in the US in 2001, this is clear for the Euro area where much uncertainty prevails. This observation leads to the second part of the talk, i.e. the discussion of the difficulties of real time assessment of business cycle conditions in the euro area and the illustration of Eurocoin, the CEPR coincident business cycle indicator, as a tool of timely assessment of the euro area cyclical conditions. The presentation recalls that real time assessment of economic conditions (cycle and potential) based on GDP is generally problematic. The main reasons cited are: 17 GDP available at quarterly level only GDP released with a delay of at least a quarter GDP has large measurement error and it is subject to large revisions Historical revisions in the euro area have been large Moreover, real time assessment in the euro area, it is claimed, is more problematic than in the US. These are some of the reasons given: Measurement error is typically higher (generally, larger revisions than in the US). Monthly data that could serve as measures of overall cyclical conditions, such as sales are not very reliable GDP is not clearly associated to key quarterly variables such as investment and employment and monthly variables such as industrial production The presentation illustrated some of these points comparing real time business cycle dating in Italy and in the US. Finally, the presentation illustrated the key features of Eurocoin. The index, which, unlike GDP is monthly and made available before GDP statistics are released, is constructed using hundreds of time series that, when aggregated, can help capturing the GDP cyclical signal. The idea is to use leading variables to reconstruct the signal at the end of the sample when GDP data are not available and use both coincident and leading variables to estimate the monthly GDP cyclical signal. The index is updated as new information become available in a non-synchronous way. The presentation focused on Eurocoin in the last two years and analyzed its stability. It showed that, although second quarter GDP growth in the euro area has been negative, the CEPR indicator has been positive and, in the past four months, showed increasing rate of growth. 18 One Europe, One Vote? The political economy of European Union representation in international organizations Jeffry A. Frieden (Harvard University) Since the Treaty of Rome, many proponents of European integration have hoped that a single Europe would speak with more authority – and more influence – in the international arena. Recent transAtlantic conflicts have served to heighten the view that one Europe would be more influential if it had one foreign policy voice. The same calculation has been applied to other areas of Europe’s international relations, including in the economic realm. A common European representation in the International Monetary Fund/World Bank system would have more votes than the United States – and thus a veto. At the Bank for International Settlements, the Group of 8, the World Trade Organization, and other international economic institutions, there is a widespread view that a pooled European presence would increase Europe’s influence. This is particularly clear in international monetary affairs, where there already is a common European institution, the European Central Bank, that is the natural representative of the euro zone at least.5 But a common European international representation is more complicated than may appear at first glance. A collective European voice requires a collectively agreed upon policy and bargaining position, which means that it requires compromise among EU members. In this sense, adopting a common international EU policy is analogous to adopting a common internal EU policy: it requires that member states weigh the potential benefits of a common policy against the potential costs of a policy that is not to their liking. And just as with other EU policies – such as the general focus on subsidiarity – there is a clear tradeoff between the advantages of scale and the disadvantages of overriding heterogeneous preferences. We can think about the issue in a more positive mode by asking what factors make it more or less likely that the EU will pool its presence in international institutions. Already, EU representation varies among international organizations. In some cases, this is for obvious reasons, such as in trade: it is hard to imagine a single market with 15 different trade policies. 6 But, just as the principle of subsidiarity has been applied in ways that lead some EU policies to be decided at the EU level, while others remain national, so too is it the case – and is it likely to continue to be the case – that the EU’s 5 6 See, on this, McNamara and Meunier 2002. See, on European trade representation, Meunier 2000 and Meunier and Nicolaidïs 1999. 19 international presence will vary among issue areas and institutions. The discussion here helps us understand why. To analyze the choices available to the European Union’s member states, I make use of simple spatial intuition.7 I make a series of assumptions for the sake of clarity of presentation; all of them can be abandoned or made more complex without altering the general points of the discussion. assumption is that policy can be mapped onto a single dimension. One This helps simplify analysis significantly, and in this instance it is close enough to reality to be defensible. I assume also a series of voting rules. To start with, let us say that both the EU and the international institutions operate on the principle of one country, one vote, with simple majority rule. Many international organizations do operate on this principle, and it is a reasonable starting point. I further assume that EU members can decide, by unanimity rule, to pool their votes to equal the number of member states; the new common policy is binding and is made by majority rule. It is realistic to assume that creating a common international representative would require the consent of all EU members; it is also reasonable that once such a joint agent were in place, the EU’s position would be by something less than unanimity. In any event, these assumptions are not essential, and I relax them later. An example helps illustrate the analysis. For simplicity’s sake, think of an international organization (IO) with five member countries: two non-EU countries on the center-right and right, and an EU of three member countries arrayed from center to left. The policy in question could be any one of a number, such as: financial regulation, where movement leftward implies less support for stringent prudential regulation and supervision of national banks macroeconomic policy, where movement leftward implies more support for simulative fiscal or monetary policies IMF conditionality, where movement leftward implies less support for restrictive IMF conditions trade policy, where movement leftward implies more support for trade liberalization – perhaps in a particular area, such as agriculture or services For the purposes of this essay, in order to avoid too much concentration on the specifics of any one economic policy arena, I use examples drawn from outside the economic realm. The examples all involve the Iraq war, mapped so that movement leftward implies less support for the United States position, and based on the obvious fiction that some international institution was essential to the conduct of military operations in Iraq. The example is useful in large part because the positions of both EU and non-EU governments are well known and relatively easy to map onto a single dimension. 7 The models are not presented here, but are available from the author upon request. Hug and König 2002, and Rodden 2002, consider other aspects of EU politics with similar tools. 20 The equilibrium policy is that of the median country-voter. But if the three EU members pool their votes, they first arrive at a common policy by majority rule – that of the median EU country-voter. By virtue of the EU’s three pooled votes, this common EU policy then becomes the majority-rule outcome. The result makes the EU better off – the outcome is closer to the ideal points of more EU member states than is the median voter. So pooling has improved the outcome from the standpoint of the EU as a whole. However, a European country that occupies the position as the international median voter would not agree to this pooling of representation. Pooling shifts the equilibrium outcome away from it, so it makes this country worse off – in the Iraqi case, assuming that the UK is the EU country closest to the US, pooling would have shifted the outcome away from Britain’s preferred position, towards a less bellicose military stance. This simple example indicates an important point: Observation 1. Member states whose preferences are farther from the EU median than they are from the international median are more likely to oppose pooling representation, while those whose preferences are closer to the EU median than to the international median are more likely to support it. The reason is that the closer a member state’s preference is to the EU’s expected collective preference; the better off it will be with pooling. After all, the more similar are the policy views of a government (or group or individual) to those of the EU, the more it would like the EU’s views to prevail. This helps explain in general, for example, why France and Germany, whose foreign policy views tend to be closer to the EU median, are more interested in a common foreign policy than the United Kingdom, which tends to be an outlier. The observation is analogous to similar observations about other EU-wide policies, in which preference outliers tend to oppose centralization while those toward the center of the preference distribution support it, such as when Scandinavians worry that EU-level social policies will be less generous than their own national policies. 8 But this example is an unrepresentative one. For one thing, EU members are a simple majority in the example, which is rarely likely to be the case; for another, pooling does not affect the EU’s bargaining power. So now let us consider an international institution with seven members, of which there are three EU members (preference distribution and voting rules are as above). With all states voting individually, the outcome is that of the median state-voter, which is not an EU country. Even if all three EU votes are pooled, there is no impact on the outcome – all that a common representation does is stack EU votes at a common point, and with majority rule there is no consequential effect. This simple observation illustrates a broader point, that the degree to which joint EU representation affects outcomes is sensitive to many features of the international environment: the number of countries in question, the distribution of their preferences, and so on. One can imagine many instances in which pooling would have an impact – such as if the common EU representative were pivotal – but 8 For a more general statement of this point, and others related to the treatment here, see Crémer and Palfrey 1999. 21 Observation 2. In and of itself, pooling representation does not necessarily increase EU influence over bargained outcomes. This highlights an aspect of the discussion of Europe’s international role that is often disregarded: the expectation that a united Europe is greater than the sum of its parts. Most proponents and analysts regard the advantage of pooling to be more than simply additive: that is, there must be something more to pooling EU representation than putting together national votes, otherwise it could be done by way of voting coalitions. And there are reasons to think that a more formal shared representation could in fact have an added impact on EU bargaining power. For one thing, in many issue areas a joint stance improves the EU’s outside option (that is, the alternative to a bargained outcome). In negotiations over financial regulations, for example, a country’s bargaining power is a function of how costly it would be for the country not to conform to the agreed-upon regulations. And in this context, it is likely that an EU with a common European regulatory framework – which it could implement on its own if negotiations with the US and Japan broke down – would be much more powerful than 15 EU member states each with a different regulatory framework. Whatever the reason, there is typically expected to be some value added from a joint representative beyond that of the member states’ own votes. Analytically, we can think of some issue areas and IOs in which pooling is more likely to increase EU bargaining power than in other issue areas and IOs. Common EU positions on trade or financial regulation – where outside options, thus bargaining power, are related to size – are likely to be greater than the sum of their parts, while a common EU position on Amazonian biodiversity may not be. This situation, in which pooled IO membership improves the EU’s bargaining power, can be represented by assuming that pooling gives the EU the equivalent of two additional votes, for a total of five. By construction, then, the outcome will be determined by the EU’s collectively defined preference. This indicates that increasing the EU’s bargaining power can have a substantial impact on outcomes. Depending on the distribution of preferences within the EU, the outcome may even make all EU member states better off (or at least leave them the same). Indeed, the closer EU member state preferences are to one another, and the farther they are from those of other members of the IO, the greater the benefits and the lower the costs of a common position. In this case, this distribution of preferences would have led even the United Kingdom to support a common EU position on Iraq – the outcome would have been at least as close to the UK’s views as that without a common EU stance. It is also the case, however, that a different distribution of preferences within the EU can make the outcome with a pooled representative less appealing to some EU members. The gain in the EU’s international bargaining power, in this instance, is more than offset by the intra-EU conflict of interests. This may be closer to the reality in the Iraq example: it is likely that Britain’s position was in fact closer to that of the United States than it was to the median EU member – so that Britain would not have supported a common stance. 22 This discussion illustrates another fundamental point about the way in which EU positions are developed and expressed in the international arena: Observation 3. There is a tradeoff between the added bargaining power of a common EU representative, on the one hand, and the need to override heterogeneous preferences, on the other. This point is analogous to that in the literature on other government functions, such as on European subsidiarity, currency unions, or the size of nations. There are scale economies to the aggregation of government functions, such as diplomacy; but there are costs to forcing heterogenous actors to adopt a common policy position.9 It might be useful to give some illustrative examples. Starting with the first observation, it stands to reason that countries whose views are more like those of other nations than they are like those of their fellow EU members would be unlikely to want to increase the EU’s international influence. A country with views on macroeconomic policy coordination, or financial regulation, or foreign aid, or IMF policy very similar to those of the United States and very different from those of other EU members, would be foolish to do anything to increase the EU’s relative influence and diminish that of the United States. The second observation is in a sense related to the first. Even an EU preference outlier would care little about the choice of common or distinct EU voting if this were unlikely to have little impact on international policy outcomes. And it is not hard to think of instances in which a joint and common delegation would not necessarily increase the EU’s bargaining power – the General Assembly of the United Nations, perhaps – and so the change in European representation would be of little import. The third observation, about the tradeoff between increased bargaining power and the need for a common EU position, is perhaps the most important and richest in implications and applications. Just as similar propositions provide a way of thinking about the choices facing EU members considering centralizing authority at the European level, it fixes ideas about the positive political economy of – rather than the normative opinions or journalistic punditry relating to – European international representation. Every individual country, this says, must weigh the impact of a greater international role of the Europe of which they are a part against the compromises they will have to make to arrive at a common European position. The comparative static properties of this observation are simple and important and can be applied to policy areas, or international institutions, in which there is variation in EU bargaining power and member state preferences. They can be applied to analyses of individual member-state views on a common international representation, or on the overall likelihood of such a common representation emerging. This discussion implies, for example, that all else equal, the more pooling increases the EU’s international bargaining power, the more likely it is. All else equal, the 9 See, as important examples, Alesina and Spolaore 1997, Bolton and Roland 1997, and Casella 1992. A similar tradeoff between risk-sharing and redistribution is identified in Persson and Tabellini 1996. 23 greater the divergence of views among EU member states, the less likely is the EU to agree on a common international voice. All else equal, countries that anticipate very serious compromises – that whose policy positions are far from those of their EU partners – are less likely to support pooling. And all else equal, countries with positions similar to those of their European partners are likely to be most favorable to common representatives. Extensions and applications Even this rudimentary discussion reveals some of the complexity of the political economy of a common European international voice. If the discussion is made more realistic, the implications are more complex still. There are two areas in which our assumptions were particularly simplistic: the distribution of preferences, and the voting rules both inside the EU and internationally. In addition, we ignored the domestic politics of these issues. The distribution of preferences. Virtually any outcome is possible if government preferences are differently arranged. The relationship among member state views, and between member state views and those of non-EU countries, defines the range of feasible coalitions, and the range of possible outcomes. It is thus a fundamental determinant of constraints on EU decision-making. While this makes actual analysis more complex, it does not reduce the usefulness of the exercise. Coming up with a realistic sense of government preferences is central to understanding the likely outcome of intergovernmental bargaining. Voting rules. The impact of different voting rules on outcomes is also crucial, especially in the international arena, where majority rule is quite rare. Indeed, it is also rare in the European Union itself. So we need to consider how intra-EU voting rules, and the voting rules of the international organizations of which the EU is a member, might affect outcomes. We can start with an extreme case, which is actually quite common both internationally and in the EU: unanimity, which gives each country a veto. The fact that with unanimity rule each EU member state has a veto would normally provide no reason for any EU member to want to move toward a common representation, as this implies giving up its veto. Moving from a situation in which EU member states have 15 vetoes to one in which they have only one collective veto might make most EU members better off, if the countries losing the veto were far from the EU median, but it would not be accepted by countries that would lose out as a result. And in many (if not most) reasonable preference distributions, pooling in a unit-veto system would make the EU worse off. The more general point is that voting rules change bargaining outcomes, in predictable if hardly simple ways. And voting rules in international institutions can themselves be highly complex. The European Union uses a combination of unanimity, simple majority, and qualified majority voting; and, depending on the issue area, one would have also to include the roles of the European Commission, the European Parliament, and the European Central Bank. International organizations also have a wide 24 variety of voting rules, including the IMF’s quota-based weighted-voting system, with weights that have changed over time. Without going into detail on the matter, suffice it to say, once more, that an analysis of the institutional causes and consequences of the EU’s international presence is sensitive to intra-EU and international voting rules. Domestic politics. One last observation is worth making, about the domestic politics of the EU’s international role. Just as governments of member states formulate their views on a common EU position based on how close it is likely to be to their own, so too can groups within countries. An interest group closer to the EU median than to its national median will prefer that policy be made at the European, rather than the national level, and vice versa. For example, if the domestic Left is closer to the European median, it will prefer a common European representative (whose views will be closer to its own than to those of its national government), while the interests of the domestic Right are opposite. This relationship – which applies, of course, to European policies more generally, such as when the Left in a left-wing country prefers national to European social policies – helps explain some of the partisan characteristics of debates over Europe’s international role. Many on the British Left prefer a European foreign policy to a more moderate independent British foreign policy; many on the Swedish Left prefer an independent Swedish foreign policy to a more moderate European foreign policy. Concluding remarks The discussion in this essay leads to few unambiguous conclusions. But that is one of its points: the implications of a common European international position depend in very important ways on circumstance. The distribution of preferences within and outside the EU, along with the voting rules used by the EU and the international institutions have a profound effect on the ways in which Europe’s member states would aggregate their views up into a common position, and on the impact of that common position on international affairs. But all is not lost to scholarly indecisiveness. There are several implications of general note. Most generally, the aggregation of European Union representatives into one EU-wide joint and common representative brings into play a fundamental tradeoff, between the benefits of increased bargaining power and the costs of compromise among heterogeneous interests. This, in turn, has significant implications. European governments with more extreme views (compared to the rest of the EU) will be less likely to support a common international position. The greater the added bargaining power associated with a pooled representation, the more likely EU member states are to support it. Domestic groups will support national or joint representation based on whether their own positions are closer to the national view or to the EU-wide view. These considerations are hardly trivial, and they will play an important role as Europe moves toward a more federal form of representation in international politics. 25 The Euro Area and World Interest Rates Menzie Chinn* (University of Wisconsin, Madison and NBER) and Jeffrey Frankel** (Harvard University and NBER) Acknowledgements: We thank the discussant, Pierre Siklos, as well as Robert Rasche, Ignazio Angeloni, Jakob de Haan, Petra Geraats, and the other conference participants for useful comments. Gabriele Galati and Frank Westermann provided useful suggestions, and Thomas Laubach provided data on CBO forecasts. Chinn acknowledges the hospitality of the Chicago Fed, where he was a guest scholar during the writing of this paper. The views contained herein are solely those of the authors, and do not necessarily represent those of the institutions with which the authors are associated. * Corresponding Author: LaFollette School of Public Affairs; and Department of Economics, University of Wisconsin, 1180 Observatory Drive, Madison, WI 53706-1393. Email: [email protected] ** John F. Kennedy School of Government, 79 JFK Street, Cambridge, MA 02138. Email: [email protected] 26 1. Introduction How has European monetary integration affected the determination of world interest rates? This question comprises a number of empirical and policy debates. The first question is: Is there a “world interest rate”? In other words, has the dismantling of the legal and regulatory impediments to capital controls, accompanied by decreases in transactions costs, resulted in an essentially integrated pool of financial capital? With the rapid evolution of financial markets in the Euro area, a re-examination is warranted. The opportunity to revisit the theme of world interest rates is particularly welcome because it has been over a decade since the last extensive discussion of the “world interest rate” and its determinants (Blanchard and Summers, 1984; Barro and Sala-i-Martin, 1990). Another decade of data is always useful, and another chance to see if the 30-year trend of increasing integration across markets has continued. But there are two more topical issues to be addressed as well. The next question has to do specifically with the achievement of European Economic and Monetary Union in 1999. In the past, US interest rates have had a greater influence on rates in Europe than the influence of European interest rates on the United States, even though the European economies in the aggregate are roughly as large as the United States – larger, if one includes the non-euro members of the European Union.10 One explanation is that the asymmetry arose from strategic interaction between one central bank in the United States versus 15 central banks in Europe. The US has had a first- mover advantage (which game theory could model as a Stackleberg equilibrium), and the European monetary authorities have been left with “take it or leave it.” A second, not inconsistent, explanation for the asymmetry is that it arose from the fact that the European countries have been more sensitive to their exchange rates, because they have been more open to international trade as a share of their GDPs (which in turn is primarily because they are smaller, and secondarily because they are close together, while the US has fewer natural trading partners). Each of these two explanations should have disappeared now. That the ECB now speaks for all 12 euro countries should have obviated the first explanation. That the euro area as a whole is no longer substantially more open to trade than the United States should have obviated the second explanation. Thus the year 2003, when we have the benefit of four years of experience with EMU, is a good time to see if the asymmetry of US dominance remains, or if Europe is taking on a more central role in world financial markets.11 The other topical issue concerns the role of fiscal policy. One might have thought that the debate over whether fiscal policy affects interest rates would have been settled by now. [The authors might have thought that the debate had been settled in the direction of rejecting Ricardian equivalence as a practical description of the real world, with all sorts of available theoretical explanations.] But the issue Furthermore, US interest rates have had a greater influence on third countries – especially those in the Western Hemisphere and East Asia – than have European interest rates. E.g., Chinn and Frankel (1994) and Frankel and Wei (1995). 11 That the United States has gone deeply into net international debtor position is another reason to ask if its dominance over international financial markets may have diminished over time, even while its geopolitical dominance has increased. 10 27 has taken on renewed controversy in the light of a current domestic debate in the United States regarding the 2001 and 2003 tax cuts and the associated budget deficits. Gale and Orszag (2003) review the literature regarding effects of current and expected future budget deficits on interest rates, 12 and conclude: “…studies that (properly) incorporate deficit expectations in addition to current deficits tend to find economically and statistically significant connections between anticipated deficits and current long-term interest rates.” (p. 20) But others strongly disagree with many of these studies, and with the Gale and Orszag’s overall characterization of the state of empirical evidence. Looking at additional European data may shed additional light on this unsettled debate. Perhaps the major incremental contribution of this paper is to make a first attempt at measuring the effect of expected future euro-area budget deficits on European interest rates, in the manner that others have done for the United States. Furthermore, it is not just the long-run fiscal outlook in the United States that is deteriorating; many European countries face even larger future fiscal demands from the next generation of retirees. Meanwhile, the Stability and Growth Pact that was supposed to limit European fiscal deficits appears to be coming unravelled. Thus the upto-date international evidence on interest rate determination should be equally useful on both sides of the Atlantic. These two issues – trans-Atlantic monetary transmission and the effects of deficits on interest rates – are conveniently addressed in the same study. That is because interest rates are determined by multiple factors. Perhaps this seemingly obvious fact needs to be stated explicitly, in that the official response of the Bush White House to critiques of its fiscal policy was that “interest rates do not move in lockstep with budget deficits (Hubbard, 2002).” This proposition is of course true: because interest rates are influenced by a number of factors, including most plausibly the cyclical position of the economy, monetary policy, and international influences, interest rates can often be observed to change at times when fiscal policy has not, even under the hypothesis that government borrowing causes interest rates to be higher than they otherwise would. Indeed, it will turn out in our regression analysis that conditioning on a variety of factors, including expected future deficits, cyclical position, and cross-Atlantic influences, is essential to uncovering the effects of domestic debt. In each case -- the nature and extent of international macroeconomic spillovers and the transmission mechanism for monetary and fiscal policy -- the ultimate motivation concerns effects on real economic activity. Long-term interest rates are thought to matter for economic activity more than short rates. Indeed, expected future budget deficits should in theory matter for long-term interest rates, not short- 12 To some observers, the tax cuts enacted by the Bush Administration seem unusually designed to lose tax revenue in the long run, relative to the fiscal stimulus delivered in the short run. Thus the distinction between current deficits and expected future deficits may be more relevant now than in the past. 28 term rates -- the focus of most statistical studies of international linkages. Consequently, in the last section of the paper, we will focus on long-term inflation adjusted rates. 2. Interest Rates at the Short Horizon At first glance, the proposition that there is, increasingly, a single world interest rate seems questionable. The nominal money market interest rates for the US, UK, Germany and Japan do not appear to be converging. Of course, there are good reasons to expect rates to diverge, even with perfectly mobile and substitutable capital. 13 Expected inflation rates and exchange rate changes can introduce wedges between observed interest rates. The corresponding real interest rates (nominal rates adjusted by previous year’s inflation) have converged, especially since the 1970’s, when large variations in inflation occurred. However, it is not apparent that these rates have converged further since, say, the 1980’s when many of the developed country restrictions were dismantled. In contrast, nominal interest rates have converged for the four largest Euro area economies: Germany, France, Italy and Spain. So we have disparate trends – increasing convergence within the Euro area, but persistent divergence outside. Indeed, the Euro area short-term interest rate has diverged substantially from that in the U.S., in both directions at different times. This outcome has been the inspiration for any number of critiques and defenses of the conduct of Euro area monetary policy. We make no comment here on this interesting subject, except to note that convergence of the levels of nominal variables denominated in different currencies need not carry implications for differences in the real ease of monetary policy. We undertake an analysis of whether, statistically speaking, US nominal money market rates drive German, vice versa, or whether both drive each other. A series of vector error correction specifications incorporating monthly data on nominal US and German (subsequently Euro area) rates are estimated, imposing a long run unitary elasticity between US or European rates. For the earlier period of 1973m03-1995m12, the US rate does not move to close statistical disequilibria while the German rate does. In the later period of 1996m01-2003m04, this same pattern persists. In a sense, this is not the most interesting comparison; the behavior of the euro rate is the variable of attention. Over the shorter period beginning in 1999m01 period, we find that the euro area’s money market rate also seems to respond more than does the US rate. 3. The Evidence at Longer Maturities 13 See Frankel (1991; 1992) for a discussion. Frankel and MacArthur (1988) present estimates of the degree of capital mobility. Froot and Frankel (1989) and Chinn and Frankel (2002) present additional interpretations. Relatedly, Siklos and Wohar (1997) argue that the convergence of inflation rates is a key reason for the convergence of interest rates. 29 If our motivation for considering international interest rate linkages is transmission of monetary policy, then we should ultimately be more interested in long-term real interest rates than short-term nominal rates. Tests of the integration of markets for bonds of longer maturity using the covered interest parity and uncovered interest parity conditions are much less common than those at the short horizon, largely because of the dearth of appropriate data. In principle, one requires zero coupon yields for constant maturities. Moreover, when it comes to statistical analysis of expected returns (for tests of uncovered interest parity, real interest parity, or the exchange risk premium) very few non-overlapping observations on the realized change in the exchange rate or price level are available when the maturity or horizon is long-term. Several recent studies have examined how well markets for government bonds are integrated using the covered and uncovered parity conditions, at 5 and 10 year horizons (Popper, 1993; Meredith and Chinn, 1998). They have not necessarily supported the conventional wisdom that financial markets are less highly integrated at these longer horizons than at short horizons. However, Meredith and Chinn, as well as Fujii and Chinn (2001) obtained point estimates that often deviated from the values consistent with uncovered interest and real interest parity. Perhaps more important is the fact that even some large developed countries consistently fail the ex post RIP test – including Italy. Once one leaves the set of G-7 countries, one finds even less evidence in favor of either uncovered interest parity or real interest parity. In Madarassy and Chinn (2002), for instance, the Spanish peseta fails real parity tests (using forecasted inflation). Hence, how nominal and real rates of different countries covary remains an open research question. Here, we examine quarterly data on ten-year benchmark bonds, adjusted by lagged one-year inflation.14 Once again operating in the vector error correction framework, we assess whether US rates (rUS) respond to European rates (r*), and vice versa. The regressions are implemented over two subsamples: 1973q1-1995q4, and 1996q1-2003q2. For the early sample, the US rate in all cases fails to respond to European long-term real rates. In contrast, European rates respond fairly strongly. French and Italian rates respond most rapidly, closing a real interest rate gap (up to a constant) by over ten percent per quarter. Ignoring the short run dynamics, this means that the half life of a deviation was a little over one and a half years. The results for the more recent period since the end of 1995 are somewhat ambiguous. In certain cases, the US long-term real rate appears to move to close the gap between rates: for France, Italy, and Spain. Interestingly, in the US-Germany pair, the German rate still moves to close the gap. What is clear is that the US rate appears to close the gap at a more rapid pace than they did in the earlier period. For an even more recent period, we can examine the aggregate behavior of the Euro area bond rates. In this later sub-sample, US rates adjust at a rapid rate of 0.37; euro area rates – as measured by a weighted average of ten year bond rates – adjust at a rate of 0.12. Strong conclusions, however, must be tempered by an acknowledgement of the imprecision of estimates. 14 This procedure follows from the results in Sack (2000). 30 Each of the individual time series seems to have only limited information regarding the dynamics of real interest rates. In order to obtain more precision, we impose some homogeneity, and estimate panel fixed effects regressions, once again breaking the sample into two sub-samples. The results confirm the impression that US rates in the early period were unresponsive to disequilibria, while Euro area rates were. In the later period, both rates appear to revert to parity with statistical significance. Interestingly, the US rate of reversion is now slower than the European rate; but it is estimated with much greater precision, and so enters with higher significance. The basic symmetry disappears when we re-estimate using SUR; then only the European rates revert, and at a fairly rapid pace. The half life (once again ignoring short run dynamics) is about 5 quarters. These results suggest that up to 1995, US real interest rates appeared to be driven by own-dynamics, while the real interest rates of Germany, France, Italy and Spain seemed to move to close gaps with the US. In the post 1995 period, the evidence is more ambiguous, with the US rate responding in some country pairs, and not in others. If we treat the aggregated European country rates as a single rate, then both US and Euro area interest rates respond to gaps between the two rates. 4. Government Bond Markets: Integrated or Not? Thus far in our examination of interest rates on government bonds, the analysis has relied primarily upon the pure time series evidence. However, examination of interest rates alone tells us little about the determinants of those rates. Here, we tackle the issue of the medium-run determinants of real interest rates. The central issue will be the relative importance of identifiable global versus national factors. The question of whether interest rates are determined in national or global markets has been a source of debate over the past few years. On one side are those who view the capital market as a single pool of funds for the OECD countries (Ford and Laxton, 1999). Sometimes, in fact, the complete integration of the capital markets is taken as given, as in Barro and Sala-i-Martin (1990). On the other side are those who aver that, while global factors are important, national factors retain a key importance (Christiansen and Pigott, 1997; Breedon et al., 1999). One factor that is omitted from all previous cross-country studies of the interest rate-debt nexus is the role of expectations regarding deficits and debt. We cited the Gale-Orszag survey at the outset. Among the many relevant studies, two examples are particularly recent and relevant. Canzoneri, Cumby and Diba (2002) find that changes in the 5 year and 10 year ahead forecasted budget deficits result in a statistically significant increase in the spread between short term and long term interest rates (which they interpret in light of the fiscal theory of the price level). Laubach (2003) finds robust evidence of a relationship between 5 year and 10 year ahead projected deficits and debts and the level of long term real interest rates in the United States. 31 In this study, the regressions we estimate are of the form: it 0 1 t 2 d t 3 Et (d t 2 d t ) 4 y 5it,W ut (1) where iℓ denotes a long term interest rate, π an inflation rate, y the output gap, and Et (.) a subjective expectations operator. In the baseline specification, we use the lagged one year inflation rate as a proxy measure for expected long term inflation. The logic underlying this specification is straightforward. Expected inflation becomes built into the long term nominal interest rate. With risk aversion, it is possible that there is an additional premium as well. Government debt-to-GDP, in the absence of complete Ricardian equivalence, has an impact to the extent that government financing crowds out private spending. The same argument applies to expected future debt. The output gap enters in as a summary measure of private sector demand for savings. Finally, the “world” interest rate enters to capture international factors. For the non-US economies, the US long term interest rate is used; for the US, the German interest rate is used. We compile data on the Euro area economies of the Germany, France, Italy and Spain. Taken together, these countries comprise 80% of Euro area GDP (in 2003q1). We also examine data for the US, UK, and Japan. The variables of interest are current and expected (2 years ahead) net debt to GDP ratio, long term interest and inflation rates and the output gap. The net debt measures are obtained from the OECD’s semi-annual publication Economic Outlook. In the basic set of time series regressions, it is clear that a simple regression including only domestic variables – that is omitting US interest rates – yields dismal results, except for the United States, and to a lesser extent, the United Kingdom. Many of the coefficients are wrong-signed. Regressions augmented with world factors – in this case the US interest rate for non-US countries yield results much more in accord with the maintained hypothesis that both global factors and domestic factors matter. In all non-US cases but two, the coefficients are correctly signed. The short span of our data sample argues that we should exploit the information in the cross section as well as that in the time series dimension. Consequently, we estimate fixed effects panel regressions using pooled data for France, Germany, Italy and Spain. The results are reported in Table 1. The inflation coefficient is now closer to its posited value, while both the debt-to-GDP ratio and projected change are significant. The US interest rate is strongly related to the national long term rate. Current debt has a coefficient of 0.05, while the projected change in the debt ratio obtains a coefficient estimate of 0.11 (column 4). All coefficients are statistically significant. We also test for whether the US interest rate is merely proxying for G-7 debt, as suggested by Ford and Laxton (1999). In our sample (which differs from that studied by Ford and Laxton and Breedon et al.), the G-7 debt ratio has a 32 perverse sign. The expected change in the debt ratio is no longer significant, but that is a consequence of allowing inflation rates to enter in freely. These findings are striking, especially when placed in the context of the existing literature. However, it is important to observe that the evidence pertains to a long period of 15 years, of which only three years of post-EMU data are encompassed. In the most recent period, these country-specific effects must surely have shrunk for euro area countries. So while Hartmann et al. (2003) claims that “the integration of government bond market has advanced less than is the case for money market”, the yield spreads are now quite small relative to pre-EMU – on the order of 10 to 30 basis points, as opposed to multiple percentage points in 1988. This observation suggests that Euro area wide debt might now be more important post-EMU. Unfortunately, this effect cannot yet be discerned empirically. 5. Conclusion Events in government bond markets returned to the fore in 2003. We expect that attention will remain fixed upon yields in these markets in the rest of this decade. The reasons are obvious. In the United States, the policy-induced change in the cyclically adjusted budget balance from surplus to deficit is likely to collide with additional financing demands from the private sector as the economy recovers. In the Euro area, the impending increases in public expenditures associated with populations that are aging even more rapidly than in the US will also put upward pressure on debt stocks (EEAG, 2003; European Commission, 2001) and hence interest rates. Our analysis indicates that over the past three decades, short and long-term interest rates have been driven more from the US side than the European side. However, since European Monetary Union went into effect, long-term real rates in both the United States and the Euro area have tended to move in such a manner as to close any gaps that open up between them. This is suggestive of two-way influences, although a structural economic model is necessary to make a stronger conclusion. Conditioning on foreign interest rates enables us to discern more sharply the domestic influences as well. One key contribution of our study is the finding of a role for actual levels and expected changes in national stocks of government debt over the past 15 years, thereby extending to Europe a result that others have found for the United States. The fact that global debt stocks do not explain particularly well the evolution of country-by-country real interest rates indicates that long term government debt is not perfectly substitutable. Unfortunately, we are unable to determine whether this characterization has changed since monetary union. For example, aggregate Euro area debt might now better explain the real interest rates for the long term government debt of Euro area governments. But, for now, we have too few observations to address this conjecture. 33 References Barro, Robert J. and Xavier Sala-i-Martin, 1990, “World real interest rates,” NBER Macroeconomics Annual 1990 (Cambridge, MA: MIT Press): 15-59. Blanchard, Olivier J., and Lawrence H. Summers, 1984, “Perspectives on high world real interest rates,” Brookings Papers on Economic Activity 2:1984: 273-324. Breedon, Francis, Brian Henry, and Geoffrey Williams, 1999, “Long-term Real Interest Rates: Evidence on the Global Capital Market,” Oxford Review of Economic Policy 15(2): 128-142. Canzoneri, Matthew B., Robert E. Cumby and Behzad Diba, 2002, “Should the European Central Bank and the Federal Reserve be concerned about fiscal policy?” in Rethinking Stabilization Policy (Kansas City: Federal Reserve Bank). Chinn, Menzie and Jeffrey Frankel, 1994, "Financial Barriers in the Pacific Basin: 1982-1992," Journal of Economic Integration 9(1): 62-80. Chinn, Menzie and Jeffrey Frankel, 2002, “Survey data on exchange rate expectations: More currencies, more horizons, more tests,” in W. Allen and D. Dickinson (editors), Monetary Policy, Capital Flows and Financial Market Developments in the Era of Financial Globalisation: Essays in Honour of Max Fry (London: Routledge): 145-167. Christensen, Hans and Charles Pigott, 1997, “Long-term Interest Rates in Globalised Markets,” Economics Department Working Papers No. 175 (Paris: OECD). EEAG, 2003, Report on the European Economy. (Munich: European Economic Advisory Group at CESifo). European Commission, 2001, Budgetary Challenges Posed by Ageing Populations: The Impact on Public Spending on Pensions, Health and Long-Term Care for the Elderly and Possible Indicators of the Long-Term Sustainability of Public Finances (Brussels: ECFIN, October). Ford, Robert and Douglas Laxton, 1999, “World Public Debt and Real Interest Rates,” Review of Economic Policy 15(2): 77-94. Frankel, Jeffrey, 1991, "Quantifying International Capital Mobility in the 1980's." In National Saving and Economic Performance, D. Bernheim and J. Shoven, eds., University of Chicago Press: Chicago, 227-260. 34 Frankel, Jeffrey, 1992, "Measuring International Capital Mobility: A Review," American Economic Review 82(2): 197-202. Reprinted in International Financial Integration, edited by Sylvester Eijffinger and Jan Lemmen, Edward Elgar Publishing; forthcoming 2003. Frankel, Jeffrey , and Alan MacArthur, 1988, "Political vs. Currency Premia in International Real Interest Differentials: A Study of Forward Rates for 24 Countries," European Economic Review 32 (June), 1083-1121. Frankel, Jeffrey, and Shang-Jin Wei, 1995, "European Integration and the Regionalization of World Trade and Currencies: The Economics and the Politics" in Monetary and Fiscal Policy in an Integrated Europe, edited by Barry Eichengreen, Jeffry Frieden, and Jurgen von Hagen, Springer-Verlag Press, New York and Heidelberg. Froot, Kenneth, and Jeffrey Frankel, 1989, "Forward discount bias: Is it an exchange risk Premium?" Quarterly Journal of Economics 104(1) (February), 139-161. Fujii, Eiji and Menzie Chinn, 20001, “Fin de Siècle real interest parity,” Journal of International Financial Markets, Institutions and Money 11(3/4) 289-308. Gale, William G. and Peter R. Orszag, 2003, “The economic effects of long-term fiscal discipline,” Urban-Brookings Tax Policy Center Discussion Paper No. 8 (Washington: Brookings, April). Hartmann, Philipp, Angela Maddaloni and Simone Manganelli, 2003, “The Euro Area financial system: Structure, integration and policy initiatives,” ECB Working Paper No. 230 (Frankfurt: ECB, May). Hubbard, Glenn, 2002, “Remarks,” AEI, December 10, 2002; Tax Notes 30th Anniversary (p.8). Laubach, Thomas, 2003, “New evidence on theinterest rate effects of budget deficits and debt,” Finance and Economics Discussion Paper No. 2003-12 (Washington: Board of Governors of the Federal Reserve System, `March). Madarassy, Rita and Menzie Chinn, 2002, “Free to flow? New results on capital mobility amongst the non-G7 economies,” Santa Cruz Center for International Economics Working Paper 02-20 (Santa Cruz: University of California, May). Meredith, Guy and Menzie Chinn, 1998, “Long horizon uncovered interest parity,” NBER Working Paper #6797. 35 Popper, Helen, 1993, “Long-term covered interest parity—evidence from currency swaps,” Journal of International Money and Finance 12(4): 439-48. Sack, Brian, 2000, “Deriving inflation expectations from nominal and inflation-indexed Treasury yields,” Finance and Economics Discussion Papers No. 2000-33 (Washington, DC: Board of Governors of the Federal Reserve, May). Siklos, Pierre and Mark Wohar, 1997, “Convergence in Interest Rates and Inflation Across Countries and over Time,” Review of International Economics 5(1): 129-141. 36 Table 1 Determinants of European long term interest rates: inflation, debt and G-7 debt, output gap, and foreign interest rate (1) (2) (3) (4) (5) (6) 1.469*** 1.097*** 1.167*** 1.00 0.992*** 1.00 (0.251) (0.218) (0.172) -0.029 0.072*** 0.057** 0.048** 0.138*** 0.064*** (0.027) (0.022) (0.023) (0.020) (0.031) (0.020) 0.091 0.122* 0.088 0.112** 0.081 0.130** in debt ratio (0.089) (0.070) (0.054) (0.049) (0.052) (0.053) output gap -0.025 0.142 0.218 (0.179) (0.163) (0.223) Inflation debt ratio expected change (0.196) Foreign interest rate 1.117*** 1.093*** 1.138*** 0.923*** (0.167) (0.155) (0.142) (0.208) G-7 debt ratio 0.380*** (0.061) 2 yr ahead G-7 -0.061 debt ratio (0.038) N Adj.R2 60 60 60 60 60 60 0.76 0.88 0.88 0.65 0.88 0.65 Notes: Fixed effects regression using annual data, in levels (Newey-West robust standard errors in parentheses). Percentage variables defined in decimal form. N is the number of observations, and Adj.R2 is the adjusted R-squared,. *(**)[***] denotes significance at the 10%(5%)[1%] level. Country specific intercepts for Germany, France, Italy and Spain. 37 Monetary Policy Transmission in the Euro Area: Any Changes after EMU? By Ignazio Angeloni and Michael Ehrmann, European Central Bank * The paper can be downloaded at: http://www.ecb.int/pub/wp/ecbwp240.pdf 1. Introduction Monetary policy transmission in Europe has become a much more interesting research subject lately. EMU is a major institutional reform, likely to change the European economy in many ways. The monetary policy transmission process (MTP) – the set of links through which monetary policy affects the economy – is a central element in this transformation. While these changes unfold, and before they are even fully understood, the ECB needs the best available information on how transmission works in the new arrangement in order to conduct its policy. In this paper we attempt a first assessment of the nexus between EMU and the euro area transmission process, using the most recent data. At least since Lucas’ celebrated “critique”, it has been recognized that regime changes impact on the expectations formation mechanisms and hence on the economy’s response to policy. It is hard to think of examples where this line of reasoning could apply more forcefully than EMU. However, it is important to bear in mind that EMU is a process, not a one-time event. The transition to a new currency and monetary policy was something economic agents had time to prepare for, and adjust to, over a number of years. This complicates significantly the task of identifying causal links. In any event, there are several related questions, only partly of causal nature, that we are interested in: Has the euro area MTP changed lately? Has it changed in coincidence with EMU? Has it changed because of EMU? What is the direction of change? The last question links up with a specific issue of great policy relevance, namely, that of the differentiation of the effects of monetary policy across euro area countries. Several authors have argued that the euro area monetary transmission process is uneven across countries, in a way that could complicate the conduct of the single monetary policy. Others have shown that such differences, when detected, are not robust to changes in empirical methodology and data, such that the jury is still out. Unfortunately, studying the monetary policy transmission process in the euro area is difficult at this stage. Four years of data are not enough to approach the issue in a systematic way. Adapting our strategy to the nature of the problem, we focus on a selected number of variables at the intermediate * The views expressed in this paper are not necessarily shared by the ECB or the Eurosystem. Correspondence: European Central Bank, Directorate General Research, Kaiserstrasse 29, 60311 Frankfurt am Main, Germany. Email addresses: [email protected] and [email protected]. 38 stages of the transmission process, regarding specifically banking and financial markets. These sectors are of key importance among the transmission channels. In these sectors, EMU-related changes are likely to occur rapidly, and a wealth of high frequency and cross-sectional information is available. This means looking inside the “black box” of the transmission process, rather than examining directly the effect of policy on final variables such as output and prices. We regard such direct analysis as unfeasible today. We use both descriptive evidence and formal econometric analyses, trying to make them complementary. We focus mainly on post-EMU data, reserving earlier samples for comparison. We make extensive use of evidence from other countries (“controls”), to identify EMU-specific changes. 2. Evidence on the Bank-Lending Channel As we noted, banks are potentially very relevant for the transmission mechanism, given their overwhelming role in financial intermediation in continental Europe. Banks are also likely to have adjusted early, and quickly, to changes in market conditions following the introduction of the euro, given their daily operational contact with central banks and with the money market, which was fully integrated since day one. We proceed in steps. We first survey some qualitative evidence on cross-border banking. Foreign diversification of banking activity would be an element suggesting that monetary transmission is becoming more homogeneous, because it would imply that households and firms have access to an increasingly homogeneous supply of bank products (loans and deposits, primarily) throughout the area. It should be noted in this regard that banking markets could be contested, and virtually integrate, even without significant cross-border activity. The converse, however, would not be true: if sizeable cross-border business is observed, this should be prima facie evidence of integration. Evidence of cross-border “action” would then constitute a sufficient condition, but not a necessary one. In any case, we will combine and crosscheck the balance sheet data with information on how interest rate changes induced by monetary policy are transmitted to bank customers. 2.1 - Evidence on bank penetration In the paper we show data on cross-border loans in the interbank market as well as to non-banks, and on banks’ cross-border holdings of securities over time reveals whether these market segments are increasingly integrated. The picture that emerges differs across segments, though. Loans to nonbanks increase somewhat, although not much. The increase seems to be part of a general rising trend, since loans to outside the euro area increase in a similar way. Hence, there seems to be no evidence of a decisive change after EMU so far. For cross-border interbank loans, the movements are significantly stronger, showing an increase in lending within the euro area between 1997 and 2002 from around 25 to around 33 percent; interestingly, this is not part of a general trend: interbank loans outside the area declined during this period. However, no sign of break in the trend is visible around 1999. Even clearer movements show up for banks’ securities holdings. For the euro area, these holdings increase from 20 to 60 percent (for non-bank issues) and from 15 to 30 percent (bank issues) 39 in the 5-year span. For Germany and for the euro area, an acceleration of the upward trend is visible in 1999. No similar trend is apparent for securities issued in the rest of the EU and in the rest of the world. Direct contact with foreign customers is not the only way in which banks operate abroad. Opening of branches or subsidiaries, stock acquisitions and mergers are alternative ways, each with different organizational, regulatory and tax implications. In the paper we look first at evidence on branches and subsidiaries. Foreign penetration in this form is fairly stable in the period under investigation (19972001) at what seems a relatively small level (8-9 percent). The presence of foreign banks is more sizeable in the smaller countries, which one would expect to be more open to foreign banking. Furthermore, the level of foreign penetration found for the euro area countries lies in a similar range than the one in the control group of Sweden, the UK and Denmark (although the numbers stand higher for the UK, reflecting London’s importance as financial center). A somewhat different picture emerges if one looks at M&A activity. Some acceleration in cross-border merger activity occurs after 1999. Though domestic mergers are still prevalent, cross-country ones within the euro area are on the rise: the yearly average is 17.7 after 1999, as against 9 before. Most of the activity in the euro area has taken place in countries where bank concentration is lowest, suggesting that the starting asymmetries in concentration, albeit still high, are diminishing. In sum, it is clear that bank integration in the euro area is not advancing fast. The introduction of the euro does not seem to have triggered revolutionary changes so far. But there are significant changes going on. Movements look more marked after 1999 in some key measures, such as interbank flows, securities holding, and to a lesser extent M&As. However, it remains an open question whether the current level of bank integration is sufficient for a homogeneous transmission of monetary policy. To answer this question, the reaction of prices of banking products to monetary policy should provide a more direct answer. We now turn to this. 2.2 - Transmission of monetary policy to bank interest rates In the paper we analyze monthly data on lending and deposit interest rates, across a variety of instruments and maturities, on a comparable basis for 5 euro area countries and for the euro area as a whole. Our aim is to study how bank lending and deposit rates react to changes in the money market rates. These results provide answers to the set of questions posed in the introduction in two ways. First, changes in the pass through parameters over time can tell us something about whether the transmission through bank rates has changed. Breakpoints in 1999 are obviously a focus of attention. Moreover, also the direction of change – e.g., more powerful transmission; or a more rapid one – is of interest. Second, the wealth of sectoral and country data allows a variety of tests of cross-country homogeneity. Obviously, we are particularly interested in the question of whether post-1999 the passthrough of monetary policy to bank rates has become more homogeneous across countries. 40 We find clear evidence for a stronger immediate response of bank rates to monetary policy, as well as a stronger maximum effect for most countries, a phenomenon which is completely absent in the control group. Moreover, the dispersion of these two parameters across the euro area countries declines sizeably under EMU. On the contrary, we find no evidence that the speed of the pass through to bank rates is faster, either in the euro area or in the control group. Overall, the message is: a stronger and more cohesive transmission mechanism after 1999, but not a speedier one. With the help of rolling window regressions, we also check whether the development that we identify is indeed located at or around the start of 1999. The results are very suggestive. The impact response of bank rates generally starts rising once observations after 1999 enter the regression window and keeps on rising while new observations from the new regime are added in, a pattern that cannot be found for the countries outside the euro area. To conclude, the overall message from the evidence from bank interest rates seems rather clear. There has indeed been a structural change in the way euro area banks set their lending and deposit rates. The change is in the direction of a stronger response of bank rates to central bank signals. The starting point is around 1999. Since this effect is not found for countries outside the euro area, we conclude that it is caused by monetary union. There is also evidence that the estimated responses of banks to policy signals are increasingly homogeneous across countries. 3. Evidence on the Financial Market Channels Our analysis in the paper concentrates, first, on something that approximates the interest rate channel (IRC) in its purest form, looking at measures of cohesion among nominal and real interest rates on riskless assets. Subsequently, we approach one angle of the “asset price” channel, by comparing the impact of monetary policy on different national stock markets. 3.1 - Interest rate channel Our basic idea here is that, if the IRC has become homogeneous in the euro area after 1999, then it must be true that the structure of riskless rates in real terms follows the same law of motion in all member countries. This is obvious for nominal rates, which after EMU are forced to coincide by arbitrage given the absence of exchange-rate risk. It is not obvious for real rates, which include also expected inflation. A homogeneous comparison between pre- and post-EMU evidence can be based on measures of co-movements of real interest rates, at different maturities, across the two time periods. We calculate measures of interest rate co-movement (using GDP weighted bilateral variances of the interest differential), within the euro area countries and for three control groups: the euro area vs. the rest of the EU; the euro area vs. the US and Japan; and four main US Census regions among themselves. As one would expect, the variance of the nominal interest rate differentials vanishes after 1999 in the euro area, but not between the euro area and the control groups. More interestingly, the variance of 41 the real interest differentials (in level), short and long, dramatically declines too. In the control countries, there is also some decline, but less strong. There is no decline among the US regions. Data in first differences show a different pattern of convergence. The main reduction in the variance is between the first period (1990-94) and the second (1995-98), not after 1999; there is a similar decline between euro area and other EU, but not with the other control groups. Within the US the variance of the differential does not decrease. The overall message is mixed: there is a sharp convergence, but it does not take place unambiguously after EMU (it depends a lot on whether levels or changes are considered), nor does it exclusively take place among euro area members. The other EU countries (UK, Sweden, Denmark) converge too. The developments are instead quite different if one looks other areas (euro area vs. US and Japan, or within US). To investigate the co-movements at different frequencies, in the paper we show spectral densities of real interest rate differentials. It emerges that the variance is concentrated in the lowest frequency ranges (above 6-12 months), in all three periods. There is a sharp reduction in the variance at these frequencies as one moves towards subsequent periods, particularly after 1999, signaling that the low frequency components of the variance are being removed. In the charts on short term and first difference data, a hump shape shows up in 1990-94 in the spectrum between 3 and 6 months. In the later periods the spectral density of short real rate differentials flattens, suggesting that the stochastic processes driving short real rates in different euro area countries may approach random noise. The typical spectral shape of a white noise (flat) is reached only after 1999, however. Similarly for longterm rates, where a hump characterizes the spectrum in the first period, and vanishes in the subsequent periods, particularly after 1999. All this confirms that the convergence in the stochastic processes driving real rates (short and long) took place well before 1999, but that after 1999 there was further progress. 3.2 – Stock market channel The stock market is a key link of the transmission mechanism according to both monetarist and Keynesian views. Tobin’s q theory assigns to stock prices a central role in transmitting policy shocks to firms’ investment. At the same time, stock prices also affect the consumer, through wealth effects. In Europe, stock ownership is limited but growing fast, hence exploring this channel is important. Furthermore, the response of stock prices reveals the markets’ view of the effects of monetary policy. We start by analyzing how the national stock market indices respond to a monetary policy surprise. The focus of our interest is whether the effects on national markets are sufficiently homogeneous. There are three countries whose estimated coefficients are somewhat far from the average: Germany and Portugal with a higher response, and Ireland, where the response shows the wrong sign. A test of full cross-country homogeneity is therefore rejected, but comfortably accepted if Portugal and Ireland are excluded. The test of equality across the 5 largest countries is also accepted. 42 The residual differences among the national responses could in principle be explained by a different sector composition of national stock markets. Controlling for this, we conclude that our estimated sector differences do not seem able to explain much of the observed national differences. The latter, however, as we have seen, are not very large or significant to begin with. 4. Conclusions Our analysis of changes in the transmission process with EMU has shown that banks have indeed changed something in their behavior. The key bank decision variables, the prices on the products they offer, have started responding to monetary policy more strongly around EMU. Of course, different explanations for this are possible. Banks could have behaved in such way because of increased pressure from the euro-induced new competitive environment. The evidence on certain aspects of bank international penetration hints in this direction. There are market segments (interbank lending, securities taking) where the move towards integration is sizeable. But other segments, more important from the viewpoint of the transmission mechanism (like direct lending to cross-border customers; branching and mergers abroad) lag behind. On the other hand, other factors could also explain this change in bank behavior. Financial market interest rates have also begun to move differently. Market rates are the main drivers of bank rates. There is a likely link between the two. Market rates had already started to comove in the pre-EMU period 1995-98, but the comovement strengthened after 1999. This is supporting evidence that the process of interest rate determination, in banking and in the financial markets, has moved in the direction one would expect. It is also evidence that the interest rate channel is a contributing factor leading to both changes in the transmission process, and more cross-country homogeneity. If all this holds true, then one would expect to also see changes in the transmission of monetary policy to asset prices post-1999. Present and expected future real rates are the discount factors that translate future income flows into current asset prices. Other things being equal, stronger interest rate co-movements across countries should tend to generate homogeneous stock price responses across countries. Unfortunately, our data did not allow this comparison across time, but we observed that, post-1999, the impact of monetary policy on stock prices is broadly similar. 43 The CEPR/ESI Seventh Annual Conference on “The Euro Area as an Economic Entity” Professor Hermann Remsperger Member of the Executive Board of the Deutsche Bundesbank “Inflation differentials in EMU causes and implications” in Eltville on Saturday, 13 September 2003 44 Ladies and gentlemen I am to speak here today as a central banker on the subject of “Inflation differentials in EMU – causes and implications”. But is this subject really relevant to monetary policy? After all, there are regional and sectoral differences in price developments in every currency zone. In a market economy, price movements reflect principally the varying conditions of supply and demand. Why, then, should one make the inflation differentials in the euro area into a problem in the first place? What is more, inflation differentials cannot be affected by monetary policy directly, since there cannot be any regionally oriented monetary policy in a currency union. Monetary policy in a currency union is uniform. However, in the short term or even in the medium term, the impact of monetary policy may be different from one region or sector to another and thus inflation differentials could be of relevance to monetary policy. It is also of relevance, because we would not have expected still to be having remarkable differences in price developments now that the euro is in its fifth year. The key question to be asked is “Should something be done to counteract the inflation differentials? And if so, what?” I The diagnosis However, before I go into these questions, I would first like to stress that I am rather satisfied with the Eurosystem’s stability record. True, the average inflation rate over the past three years from 2000 to 2002 has been somewhat outside the definition of price stability. And it has also been a full percentage point higher than during the qualification and start-up stage between 1997 and 1999. But, whereas the conditions in that early period were extremely favorable for stabilization policy, what followed were exchange rate and oil price shocks, food crises, a number of increases in indirect taxes and other things besides. Even so, it has been largely possible to keep the Eurosystem’s stability promise. That has to be put down as a success. Admittedly, that is not the case for all the euro-area countries. In four of the original member states, the average annual price rise in the past three years has been more than 3%, with the figure in Ireland 45 being as much as 4½% per year. Given rates of increase on this scale, it is undoubtedly not appropriate to speak of price stability. In addition, it has to be noted that, in those countries which already had an above-average rate of inflation, prices accelerated more rapidly following the qualification and start-up phase of monetary union. For that reason, the dispersion of inflation rates has widened again. In terms of their range, the inflation differential in the qualification and start-up stage was less than 1½ percentage points; later, it was more than 3 percentage points. An increase in the spread is also apparent if alternative measures of dispersion are used. The unweighted standard deviation, say, went up from about ½ percentage point to almost 1 percentage point. This finding is therefore fairly robust, at least if the rates over three years are averaged. In order to understand disappointments about the extent of inflation dispersion, I would like to call to mind again the Maastricht inflation criterion: A country is ready for monetary union only if its inflation rate is no more than 1.5 percentage points higher than the average rate of inflation of the three countries with the best stability performance. In the convergence and start-up phase, the average annual rate of inflation in Austria, France and Germany was 0.8%. At that time, the critical 2.3% mark was not being overshot by any country. In the following phase from 2000 to 2002, the three countries just mentioned again had the lowest inflation rates in the euro area, although the average was 1.8%. Together with the margin allowed by the inflation criterion, this produced a critical value of 3.3%. The higher threshold was now being overshot by no less than three founding members of monetary union, namely Ireland, the Netherlands and Portugal. This raises the question as to the sustainability of the convergence achieved in the qualifying and start-up stage. At the qualification stage, there was not much argument about the inflation criterion. It is true that some academics pointed out that considerable inflation differentials were to be expected in a larger monetary union.15 Among the political decision-makers, the inflation criterion was regarded as not much of a problem, however, especially when compared with the fiscal policy criteria. 15 For example, M B Canzonerie, B Diba and G Eudey, Trends in European productivity and real exchange rates: implications for the Maastricht convergence criteria and for inflation targets after EMU, CEPR Discussion Paper No 1417, June 1996, and J von Hagen and M J M Neumann, Real exchange rates within and between currency areas: How far away is EMU? Review of Economics and Statistics Vol 76 (1994), p 236-244. 46 Hardly anyone anticipated that convergence, once achieved, would weaken again under a single monetary policy. But this is precisely what has happened. As you know, the example of the United States is very often used to put these inflation differentials into perspective. Although the dispersion of inflation rates in the euro area is greater than it used to be within the individual member states, it is similar to that in the USA. 16 However, it has to be taken into account that owner-occupied housing is included in the US CPI, but not in the European HICP. Housing thus has a much greater weight in the US CPI than it does in the HICP. This is important because there is hardly any other component where regionally divergent price developments have such a major impact as they do in housing. This can be seen from the rent component of the HICP. The interregional standard deviation of the changes in rents is greater than that of services, which, in turn, is larger than that of industrial goods (excluding energy). Looking at house prices, one finds average annual growth rates of 10% per year or more in Ireland, the Netherlands and Spain. It is only in Portugal that house price developments have remained subdued. These considerations lead me to draw the tentative conclusion that an appropriate coverage of owneroccupied housing would result in the measured divergence of inflation rates in the euro area being larger and perhaps exceeding the dispersion of inflation rates in the USA. II The causes If you now ask how this renewed widening of euro-area inflation differentials has come about, I would first like to emphasize that, in my view, it is impossible to identify a single dominant cause. I think it may be helpful to distinguish between “disappearing” and “reappearing” causes of inflation differentials. The convergence-related components of the inflation differentials may be described as “disappearing”.17 Convergence in the level of economic variables necessarily involves temporary 16 European Central Bank, The dispersion of inflation across the euro area countries and the US metropolitan areas, Monthly Bulletin, April 2003, p 22-24. 17 Empirical studies suggest, firstly, that a certain relationships exists between the inflation differentials in the euro area and the output gaps. Secondly, it is found that prices rise more quickly in countries with a low price level. It is thus likely that cyclical and convergence-related factors operate together. See European Central Bank, Inflation differentials in a monetary union, Monthly Bulletin, October 1999, p 35-44, and later, P Honohan and P R Lane, Divergent inflation rates in EMU, Papers presented at the 37th Economic Policy Panel Meeting, 11th/12th April 2003, Athens. Nevertheless, it is shown by J H Rogers, Monetary union, price level convergence, 47 differences in the rates of change in the relevant variables. Borrowing from the literature on growth, one could speak here in a broader sense of beta convergence, which tends to result in always the same countries showing either high or low rates of inflation. In this context, the direct convergence of prices and interest rates through arbitrage across regions should be mentioned first. Nominal convergence has undoubtedly been reinforced by the elimination of the residual foreign exchange risk since the beginning of 1999. The dwindling of the risk premia brought about a largely uniform interest rate level on capital markets. In some countries, this is likely to have generated a substantial cyclical stimulus. An important factor was the rapid rise in property prices encouraged by the convergence of interest rates.18 On the product markets, too, greater price transparency and the elimination of exchange rate risk have assisted price convergence. Nevertheless, the euros contribution to the integration of the product markets in Europe should not be overestimated either. What was more important was the opening of the markets as a result of the Internal Market Program. This had already led to a strong convergence of prices for traded goods in the first half of the 1990s. In 1999, according to Rogers, the dispersion of such prices had already ceased to be greater than in the USA.19 Since then, there has been hardly any further narrowing in the dispersion of prices, 20 and the dispersion of rates of price change remained approximately unchanged. By contrast, the convergence of prices for non-traded goods – above all, services – seems to have accelerated. By and large price increases were higher in countries with below average price levels. The dispersion of inflation rates for services, measured by the (unweighted) standard deviation, almost doubled between the qualification and start-up phase and the period of 2000-2002. How has this stronger convergence of prices for non-traded goods come about? The traditional approach to explaining such indirect convergence is the often-cited Balassa-Samuelson model. However, this approach has had a somewhat mixed fate recently. and inflation: How close is Europe to the United States? Board of Governors of the Federal Reserve System, International Finance Discussion Paper No 740, October 2002, that, in elaborate econometric specifications, the influence of the price gap is no longer statistically different from zero. 18 P Honohan and P R Lane, Divergent inflation rates ..., op cit. 19 However, according to the European Central Bank, Price level convergence and competition in the euro area, Monthly Bulletin, August 2002, p 39-49, the cross-country dispersion of prices in the euro area is still higher than the dispersion within individual countries. 20 J H Rogers, Monetary union ..., op cit. 48 Initially, a very prominent role was assigned to the Balassa-Samuelson mechanism in explaining the inflation differentials in Europe.21 Later, it was pointed out that, since the second half of the 1990s, the relationship between the changes in the productivity gap and the inflation differentials was no longer very strong. 22 Various modifications of the basic model have been proposed, which can not only loosen but also strengthen the relationships between productivity convergence and inflation divergence. 23 I cannot go into the details of that debate today. But I remain convinced that the Balassa-Samuelson approach gives us important insights into the price dynamics of what is still a heterogeneous currency area. At the same time, it is my view that the recent inflation differentials are too large to be explained solely in terms of differences in productivity growth. Certainly, besides the cyclical stimuli triggered by interest rate convergence, country-specific factors and asymmetrical shocks have also had a major impact on inflation differentials. This brings me to the reappearing component of the inflation differentials. Quite diverse factors can lead at any time to new inflation differentials. They increase the inflation rates’ variance without necessarily determining the country-ranking. One major reason for continuing inflation differentials consists in price reactions to constantly recurring regional supply and demand shocks.24 Especially in a monetary union such as the euro area, where the regional labor markets, owing to different languages and social security systems, are so far not very closely interlinked, the price 21 For an overview of the various contributions, see M Kieler, The ECB's Inflation Objective, IMF Working Paper WP/03/91, May 2003. 22 See, for example, P Honohan and P R Lane, Divergent inflation rates ..., op cit, or E Ortega, Persistent inflation differentials in Europe, Banco de Espana, Documento de Trabajo No 0305, 2003. 23 See inter alia J Strauss, The influence of traded and nontraded wages on relative prices and real exchange rates, Economics Letters Vol 55 (1997), p 391-395; R MacDonald and L Ricci, PPP and the Balassa Samuelson Effect: The role of the distribution sector, IMF Working Paper WP/01/38, March 2001; C Fischer, Real currency appreciation in accession countries: Balassa-Samuelson and investment demand, Economic Research Centre of the Deutsche Bundesbank, Discussion Paper 19/02, July 2002; T Unayama, Product variety and real exchange rates: The Balassa-Samuelson model reconsidered, Journal of Economics Vol 79 (2003), p. 41-60; P R Bergin, One Money one price? Pricing to market in a monetary union, mimeo, May 2001, forthcoming in European Economic Review. 24 Such shocks may potentially explain quite large inflation differentials, as has been shown by M Duarte and A L Wolman, Regional inflation in a currency union: fiscal policy versus fundamentals, European Central Bank, Working Paper No 180, September 2002. Similar results are also arrived at by J Andrés, E Ortega and J Vallier, Market structure and inflation differentials in the European Monetary Union, Banco de Espana, Documento de Trabajo No 0301, 2003. 49 mechanism has a major part to play in balancing supply and demand.25 Short-term inflation differentials can help to stabilize output and the labor market. However, this mechanism can function smoothly only if wages are sufficiently flexible. If overall inflation is low, this may call for wage cuts in some regions or sectors. In the past, adjustments of this kind were not always observable on the scale that would have actually been necessary.26 In the meantime, variable wage components have gained in importance. Even so, the possibility cannot be ruled out that a certain asymmetry between the upward and downward flexibility of wages will persist, thus limiting the effectiveness of the wage mechanism. Besides country or sector-specific shocks, shocks which impact on the currency area as a whole may also have varying price effects. For one thing, different regions may be affected in different ways owing to their pattern of specialization. For another, they may react differently, say, owing to differences in market structures27 or even in how expectations are formed. Longer-term empirical studies show that expectation formation in the wage and price-setting process in Germany tends to be forward-looking, whereas, in other countries, it is geared more to the past. 28 This can have a significant impact on price dynamics and give rise to inflation differentials. For example, an oil price shock that impacts on wages in one of the countries because expectation formation is oriented to the past, while this is not the case in other countries, will temporarily open up inflation differentials. Shock-like exchange rate movements are of major importance for short to medium-term price dynamics in the euro area. Although there are no longer any nominal exchange rate movements within the euro area, that is not the case vis-à-vis the dollar area. The direct impact of exchange rate shocks on consumer prices is determined by the share of imported goods in private consumption and the strength of the pass-through effect. That effect is powerful and fast for oil products, but very much weaker and slower in the case of other goods. Owing to differences 25 This is stressed principally by the OECD, Inflation persistence in the Euro area, OECD Economic Outlook 72, 2002, p 163-171. See also European Central Bank, Inflation differentials ..., op cit. 26 For Germany, see C Knoppik and T Beissinger, How rigid are nominal wages? Evidence and implications for Germany, Institute for the Study of Labour (IZA) Discussion Paper No 357, September 2001, forthcoming in Scandinavian Economic Journal, 2003, and C Knoppik and J Dittmar, A semi-parametric analysis of downward nominal wage rigidity in the GSOEP 1984-2000, University of Regensburg Discussion Paper No 374, September 2002. 27 J Andrés, E Ortega and J Vallier, Market structure and inflation differentials ..., op cit. 28 For example, P Benigno and J D Lopez-Salido, Inflation persistence and optimal monetary policy in the euro area, Board of Governors of the Federal Reserve System, International Finance Discussion Paper No 749, July 2002. 50 in the composition of private consumption, price developments may therefore differ in the short to medium term even with uniform shocks. Hüfner and Schröder, for example, point out that the short-term effect in the Netherlands, with its high share of imports from non-European countries, is much greater than in Germany. 29 In addition to the direct impact of exchange rates on consumer prices, there may be a cyclical effect via a change in the competitive position, which is also determined by an economy’s degree of openness to countries outside the euro area. This is likely to have been a major factor for Ireland, in particular, over the past few years. Permit me to summarize my brief analysis of causes as follows. No single factor can be identified as the cause of the inflation differentials. Instead, there are a number of different reasons that are not of equal significance for every country in the euro area. Principally, there are three factors, which I regard as important. Firstly, the process of nominal convergence, especially in those countries, which had relatively high nominal interest rates prior to European monetary union, created an expansionary stimulus. Secondly, the real catching-up process of those euro-area countries with comparatively low productivity also seems to have contributed to the inflation differentials. Thirdly, country-specific factors have generated major stimuli to price developments. Chief among those factors was the varying impact of the euros temporary weakness.30 The heterogeneous nature of economic policy measures, especially with regard to tax policy and the regulation of network industries, should certainly also be included among the country-specific features. With a view to country specific factors we have to note that in some countries wage moderation during the convergence stage later gave way to strong wage increases, which intensified the divergence of inflation rates.31 In my opinion there are good reasons for expecting that the inflation differentials will not simply disappear. Perhaps they will be somewhat smaller in the future. That is particularly true for the inflation differentials, which have been caused by the convergence process. 29 F P Hüfner and M. Schröder, Exchange rate pass-through to consumer prices: A European perspective, ZEW Discussion Paper 02-20, 2002. 30 See, for example, P Honohan and P R Lane, Divergent inflation rates ..., op cit. 31 See P Honohan and P R Lane, Divergent inflation rates ..., op cit, for a discussion of the Irish experience. 51 Experience in the United States, however, indicates that the decline may not be substantial. Empirical studies show that the dispersion of inflation rates in the USA is relatively stable over time. With these remarks I am already approaching the last part of my talk: What are the implications of inflation differentials for business activity and economic policy? III The implications I shall deal with the question of their impact on economic activity first. Then, I shall address specific areas of policy: fiscal policy, structural policy and, last but not least, monetary policy. The first question is about the asymmetric regional impact of a single nominal interest rate owing to inflation rate differentials across countries. With regard to Germany, in particular, it is often stated that the real interest rate is too high from a German point of view and that, in view of the low inflation rate, monetary conditions are too restrictive in this country. 32 I do not agree with this perspective. As I see it, changes in the international competitive position stemming from inflation differentials are in the long run more important than the differentials in real interest rates. Even so, viewed in the shorter term, differentials in real interest rates can indeed generate considerable effects. In a monetary union, money market rates in all the participating countries are more or less identical. Inflation differentials thus create diverging short-term real interest rates: those countries with a comparatively low rate of inflation have a higher real short-term interest rate and vice versa. This reinforces the original disinflationary or inflationary tendencies. The extent to which longer-term real interest rates adjust to inflation differentials hinges crucially on the inflation expectations in the participating countries. High regional inflation rates are often reflected in higher inflation expectations. However, inflation expectations do not change in step with the current inflation rate. There is a tendency to expect a return to the mean value or to the inflation rate aimed at by the central bank. The real interest rate differentials are thus somewhat lower than the inflation differentials. See, for example, M Feldstein, Britain must avoid Germany’s mistake, Financial Times of 21 April 2003 or Deutsches Institut für Wirtschaftsforschung (2003) Grundlinien der Wirtschaftsentwicklung 2003/2 in DIW-Wochenbericht 1-2/03. 32 52 In August this year, for example, the inflation rate in Spain was 1.8 percentage points higher than in Germany, while the long-term real interest rate based on inflation expectations was only 1 percentage point above the German level. Added to this is the fact that countries with marked inflation rates are often faced with high property prices. If the resulting increase in the nominal wealth impacts on aggregate demand in the country concerned, the inflation-accelerating effect is strengthened further. These destabilizing processes are countered by a stabilizing mechanism, however. Inflation differentials between economies in a monetary union lead to changes in their relative prices or rather their real exchange rates. Owing to a real “appreciation”, countries with higher-than-average inflation rates suffer a loss in price competitiveness, while countries with relatively low inflation rates gain in price competitiveness. The consequence is that export demand in the countries with higher inflation rates tends to decline, which has a dampening impact on price developments in those countries. Conversely, demand tends to increase in countries with lower inflation rates. This effect also occurs in relationship to those countries which do not belong to the monetary union. Since the euros (flexible) nominal exchange rate against the currencies of such countries is geared to economic developments of the euro area as a whole, euro-area countries with an above-average inflation rate suffer a deterioration in their competitive position vis-à-vis non-euro-area countries. Euroarea countries which have a below-average inflation rate gain in general. The relationship between the destabilizing real interest rate effect and the stabilizing exchange rate effect is ultimately an empirical question. Studies show that in the long-run the terms-of-trade effect seems to be more important than the real interest rate effect. However, among the individual countries there is a marked heterogeneity concerning the relative weight of the two channels. While simulations for Germany, and those for the USA, suggest that the effect on competitiveness is predominant, in other countries the real interest rate effect predominates over the competition effect and thus – temporarily – works in a procyclical way.33 Additionally, we can not rely on the stabilizing effect of inflation differentials if one member state of the monetary union finds itself in the process of a persistent decline in the general price level. In particular, it is likely that the slump in aggregate demand, brought about by a protracted large-scale slide in prices, will set off mechanisms that result in self-reinforcing deflationary developments. And these may can even spread to other countries of the monetary union. 33 For the USA see I Arnold and C Kool, The role of inflation in regional adjustment: Evidence from the United States, mimeo. 53 However, I want to stress explicitly, that a scenario of this kind is hardly likely to occur in the euro area. Germany – which, in the recent debate, has been most under suspicion of slipping into a deflation scenario – shows no signs of an impending deflation. 34 Recently, the HICP went up by 1 percent year over year. A declining price level is not expected in this country for the future either. On the contrary, for the next years the economic agents are anticipating a more or less constant inflation rate of 1½%. Additionally, we should not overlook the fact that euro-area countries with higher inflation rates also have to bear higher costs of inflation. Such costs include menu costs, increasing distortions in tax systems based on the nominal principle and a sub-optimal cash holding. Even with low inflation rates, these costs can be considerable. 35 It is definitely in the own interest of the countries in the euro area to keep their respective rates of inflation at a low level, since they also have to bear the costs of inflation. 36 After all, this includes preventing their own export industry from suffering the damage which may result from a persistent loss of competitiveness and which may permanently reduce the country’s longerterm growth opportunities. This applies just as much to the euro-area accession countries. Convergence of their inflation rates to the euro-area level reduces their inflation costs. Furthermore, within the enlarged monetary union it will ease potential tensions between countries with a low inflation rate and countries that have higher rates of price increase. Thus, convergence of inflation rates at a low level before entry into EMU can help to strengthen the stability of the monetary union. If the destabilizing impact of inflation differentials threatens to predominate or if a country’s inflation rate is felt to be too high, the question arises as to what economic policymakers could do to limit inflation differentials. In the world of the traditional Mundell-Fleming model of a single currency area, which is characterized by recurring stochastic supply and demand shocks, the answer is clear: the sole appropriate 34 Regarding this assessment, see also The debate on deflationary risks in Germany in the June Monthly Report of the Deutschen Bundesbank, p 15–28. 35 Lucas, R. E. (2000), Inflation and Welfare, in: Econometrica, Band 68, Nr. 2, S. 247-274. 36 This point is stressed by Feldstein, M. (2001), Economic Problems of Ireland in Europe, NBER Working Paper 8264, May 2001. 54 stabilizing cyclical policy instrument in a monetary union is fiscal policy, which has the task of smoothing fluctuations in output. In the two-country model, the stabilization of output simultaneously results in smaller fluctuations in the respective inflation rates. In this context, the price effects show up, so to speak, as a side-effect of a fiscal policy which is stabilizing output. However, there are two main arguments against the deployment of fiscal policy to limit inflation differentials. Firstly, the empirical evidence for the price-stabilizing impact of a discretionary fiscal policy tends to be weak.37 The general limitations of an anticyclical fiscal policy due to inside and outside lags are well known. Secondly, we have to take due account of the fact that at least part of the inflation differentials is not stochastic, but rather convergence-related. The convergence process itself might be protracted if the economies which are catching up with the advanced economies were to respond to this “structural” component of the inflation differentials with a persistently restrictive fiscal policy. At the same time, however, it is imperative to ensure that fiscal policy does not itself lead to a widening of inflation differentials. For example, an accommodating fiscal policy has been given as a reason for the relatively high inflation rates in some euro-area countries. In the debate on the economic policy implications of inflation differentials the call for structural reforms is often heard. Structural policy measures, such as the deregulation of major product markets and the labor market, make it easier for an economy to respond to shocks, which are among the causes of the dispersion of inflation rates in the euro area. In addition, structural policy measures could lead to temporary price changes in the affected product markets and these changes can have an impact on inflation differentials. One example of this is provided by the market for telecommunications, in which increased competition has resulted in several years of ongoing downward price pressure. 37 R Perotti (2003), Estimating the Effects of Fiscal Polities in OECD Countries, Journal of the European Economic Association, forthcoming and M Duarte and A L Wolman (2002), Regional Inflation in a Currency Union: Fiscal Policy vs. Fundamentals, ECB Working Paper No 180. 55 In the case of the countries which are catching up with the advanced economies, deregulation might indeed lead to a dampening of inflationary developments, especially if they dampen price rises in the services sector. Admittedly, not all structural policy measures have the effect of reducing inflation. In certain cases, they might even lead to higher prices. This could be the case if the still heavily regulated housing markets in many of the participating countries were to be liberalized. Using structural policy measures as an instrument for a reduction in inflation differentials is therefore subject to certain qualifications, especially as their price-dampening impact may even reinforce inflation differentials in countries with low inflation rates. When I say this I do not want to question the general importance of deregulation policy measures. The opposite is true. Wage and labor market policies can help to reduce inflation differentials caused by demand or supply shocks. A higher degree of labor force mobility between countries as well as sectors can ease the adjustment pressure on regional wages. Making the underlying conditions on the labor market more flexible, particularly with regard to the wage formation process, should therefore be an essential item on the economic policy reform agenda. To my mind, wage policy has a particular responsibility in terms of responding to economic shocks which impact directly on prices. A temporary increase in the general price level – say, as a result of higher oil prices or higher indirect taxes – should not lead to second-round effects. Forward-looking, stability-oriented wage agreements will help to prevent the inflation differentials from becoming entrenched. In contrast to wage policy the possibilities of monetary policy to counter inflation differentials are very limited. As a policy for the entire currency area monetary policy is not in a position to distribute its effects among the participating countries. Hence, it is unable to exert an influence on the inflation differentials. Even so, there are two ways in which the ECB takes account of the inflation differentials and the prevention of deflationary tendencies. First, the Governing Council has created monetary conditions which allow adequate scope for real economic growth. 56 Second, the Governing Council, in its recent clarification of its monetary policy strategy, spelled out its stability policy objective in terms of a medium-term euro-area inflation rate of “just under 2%”. Given the current inflation differentials, that definition, in my view, provides an adequately large safety margin against deflation for all the member countries. And with this definition the ECB explicitly took account of the implications of inflation differentials within the euro area. 38 Now, please allow me to summarize my talk in five points. First, I would like to state that regional inflation differentials in a currency area are a widespread phenomenon. In the euro area the underlying driving forces will change over time. The convergence-related causes will peter out. Thus, recurrent supply or demand-side shocks will gain in relative importance. Empirical findings from other countries speak against the expectation that the inflation differentials will simply disappear. Second, I want to stress the point, that as a general rule, the real economic effects of divergent inflation rates with a single monetary policy are self-correcting in the long-run. However, in the short-run a widening of the heterogeneity between the participating countries can occur. The inflation differentials in the qualification and start-up stage of the euro area were smaller than in the last three years. Third, it is imperative not to overlook the fact that high inflation rates give rise to macroeconomic costs in the individual countries concerned. Moreover, persistent inflation differentials may lead to tensions in economic policy in the euro area. Fourth, while the single interest rate policy of the ECB cannot take account of regional developments, national economic policies can increase the capability of national economies to cope with demand and supply shocks. Wage policies in particular have a key responsibility for a smooth adjustment to shocks. Forward looking and productivity oriented wage agreements would help to prevent inflation differentials from becoming entrenched. “To maintain inflation rates close to 2% over the medium term ... underlines the ECB’s commitment to provide a sufficient safety margin to guard against the risks of deflation. It also addresses the issue of the possible presence of a measurement bias in the HICP and the implications of inflation differentials within the euro area.” (ECB press release „The ECB’s monetary policy strategy‘, 8 May 2003) 38 57 Fifth, and with regard to EMU-enlargement it is crucial for the acceding countries to have achieved a sufficient degree of convergence before joining the single currency area. 39 39 The Bundesbank has already made repeated reference to this (see, for example, Deutsche Bundesbank (2001), Monetary aspects of the enlargement of the EU, Monthly Report, October 2001, p 15-30). 58
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