Politicians and Financial Supervision Unification outside the Central Bank: Why Do They Do it? Donato Masciandaro♦ February 2008 Abstract An increasing number of countries show a trend towards a certain degree of consolidation of powers in financial supervision, which has resulted in the establishment of unified regulators, that are different from the national central banks. By contrast a high involvement of the central bank in supervision seems to be correlated with a multi – authorities regime (central bank fragmentation effect). This paper, using a simple application of a general common agency game, sheds light on which conditions the politicians prefer when implementing a unified sector supervision outside the central bank. From a theoretical point of view the quality of public sector governance plays a crucial role in determining the supervision unification. Focusing on the behaviour of the “good” policymaker (helping hand type), it will prefer a unified financial authority that is different from the central bank if the correspondent welfare gains – linked to at least one of the three effects: moral hazard, conflict of interest, bureaucracy – are considered higher respect to the information losses. The “bad” policymaker (grabbing hand type) will choose the single financial authority if the financial industry likes it, and the central bank is not a captured one. On the other hand, the paper tests the model, confirming the robustness of the institutional position of the central bank in explaining the recent trend in supervision consolidation, with an empirical analysis performed with ordered functions on an updated dataset. JEL Classification: G18, G28, E 58. Key words. Financial Supervision, Central Banks, Political Economy ♦ Full Professor in Economics, Chair in Economics of Financial Regulation, Bocconi University, Milan. Email address: [email protected]. Politicians and Financial Supervision Unification outside the Central Bank: Why Do They Do it? 1. Introduction Over the last few years the financial supervision landscape has been radically transformed. Many countries have made drastic changes to the architecture of financial supervision, and more are contemplating modifications. In the last twenty years (1986-2006) 94% of the countries included in our sample of 91 nations chose to reform their financial supervisory setting (Figure 1). The current restructuring wave is making the supervisory regimes less uniform than in the past. In several cases the architecture still reflects the classic model, with separate agencies for banking, securities and insurance supervision. However, an increasing number of countries show a trend towards a certain degree of consolidation of powers, which in several cases has resulted in the establishment of unified regulators, that are different from the national central banks.1 Other countries are contemplating further modifications. How can this supervision consolidation trend outside the central banks be explained? Firstly it is necessary to point out that the quest for the optimal level of financial supervision unification cannot be pursued through a traditional cost-benefit analysis. If one proposes to compare alternative models from a social welfare standpoint, one realises that each of them offers expected benefits but also expected risks, and the final outcome is actually undetermined. In general, different arguments for consolidation of supervision can be identified. However, there are also several arguments against unification, whose cons systematically mirror the pros. Different review essays (Abrams and Taylor 2002, Cihak and Podpiera 2007a and 2007b) have demonstrated that there are not strong theoretical arguments in favour of any particular architecture of financial supervision, given that it is possible to provide advantages and disadvantages of each model. Therefore, if the main driver of the supervisory reform cannot be the classic social welfare perspective, it is necessary to explore alternative views. Recent studies have tried to shed light on the determinants of the shape of the financial supervision, focusing on the policymakers’ point of view. In particular, when the policymakers implement a consolidation process, they seem to be influenced by the supervisory position of the central bank. Barth, Nolle, Phumiwasana and Yago 2002, Arnone and Gambini 2007, Cihak and Podpiera 2007a claim that the key issues for supervision are 1) whether there should be one or multiple supervisory authorities and 2) whether and how the central bank should be involved in supervision. More importantly, the two crucial features of a supervisory regime seem to be related. 1 For a survey see e.g. De Luna Martinez 2003, Masciandaro 2005, and Cihak and Podpiera 2007b. The legal issues are described in Mwenda 2006. 2 The descriptive analysis (Masciandaro 2004) signals an intriguing result: the national choices on how many agencies must be involved in supervision is strictly dependent on the existing institutional position of the central bank. The degree of unification seems to be inversely related to the central bank involvement in supervision. The trade-off – and the consequent so called central bank fragmentation effect - was confirmed first by an analysis of the reforms in the supervisory regimes (Masciandaro 2006) and then by going more deeply into the economics of the central bank fragmentation effect (Masciandaro 2007). The central bank fragmentation effect was explained as a particular case of path dependence: every policymaker, in choosing the level of financial supervision consolidation, is influenced by the characteristics that already exist in terms of the central bank position. The policymaker’s choices are viewed as a sequential process in which the institutional position of the central bank matters. Notwithstanding the evidence, at least two crucial questions are still unanswered. First of all - from a theoretical point of view - in the path dependence approach the policymaker is a homogeneous agent. But if we take into account the fact that in the real world the policymakers can be heterogeneous, with different objective functions, can the central bank fragmentation effect still be explained? Secondly - from an empirical point of view - using the same approach the central bank involvement in supervision is considered an independent variable: the policymaker, given the central bank position, determines the degree of financial supervision unification. It remains uncertain whether the central bank involvement in supervision is only an imperfect potentially endogenous - proxy of other features in the central banking - and design that influences the policymakers. Therefore the aim of this paper is twofold. On the one hand, we offer a theoretical framework which sheds light on the role of central bank involvement as a potential determinant of the supervision architecture, taking into account the existence of different types of policymakers. On the other hand, the paper tests the model, investigating the robustness of the role of the central bank in explaining the recent trend in supervision consolidation, with an empirical analysis performed with ordered functions on an updated dataset. The paper is organised as follows. Section two describes the theoretical setup. In section three and four we estimate the model, describing the dependent variable and the indicators used to disentangle the role of central bank position among the different potential drivers of the supervision reforms. Section five discusses the policy implications and put forwards some conclusions. 3 2. Politicians, Financial Supervision Unification and the Role of the Central Bank Our theoretical framework is based on two hypotheses. First of all, gains and losses of a supervisory regime are variables computed by the incumbent policymaker, who maintains or reforms the supervisory regime, following his preferences. Secondly, the policymakers are politicians: politicians are held accountable at the elections for how they have pleased the voters. All politicians are career oriented agents, motivated by the goal of pleasing the voters in order to win the elections. The main difference among the various types of politicians concerns which voters they wish to please in the first place. In the economic literature, there are as yet no theoretical studies that consider the policymaker objective function in determining the level of unification of the financial supervision regime. Here we propose a specific and original application of the general model developed by Alesina and Tabellini (2003) to investigate the criteria with which to allocate policy tasks to elected politicians. Consider a society that assigns to an elected policymaker the task of designing the level of consolidation of the institutional regime that guarantees the effectiveness of the financial supervision policy (thereafter the effective level of unification). The effective level y of unification is determined by the policymaker’s effort a and by his ability Ω: y=a+Ω (1) Ability is a random variable; for the sake of simplicity, let us suppose that Ω can assume two values only. The politician can be outstanding or not. Therefore the parameter can be Ω L or Ω H with Ω L < Ω H and ⎧Ω L with probability p Ω=⎨ ⎩Ω H with probability (1 − p ) In order to show the importance of the politicians’ preferences rather than the social ones, let us assume that the citizens care about the effectiveness of the supervisory regime according to a classic well-behaved concave function u = U (y): the social welfare increases with the level of unification. Linear preferences are used: U(y) = y (2) The policymaker’s effort is costly, and the convex and increasing cost function is defined as C = c (a). The reward for the policymaker is labelled R (a) . The policymaker’s utility function is defined as: R (a) – c (a) (3) 4 We claim now that the costs of implementing an increasing level of financial supervision unification can depend on the existing institutional position of a central bank. If a high level of central bank involvement in supervision is the status quo, under specific conditions a unified supervision is more difficult to implement, and this means that the politician’s task is, ceteris paribus, more costly. In order to identify these conditions, let us consider that a policymaker aiming to consolidate supervision faces two alternative paths: to create a monopolist central bank in supervision; to establish a unique financial authority, different from the central bank. The creation of a monopolist central bank can be costly for different reasons. First of all, the policymaker may dislike the implementation of a monopolistic central bank if consequent extension of the classic monetary policy and supervision policy moral hazard risks - the which can occur when the are delegated to the central bank - overcomes the potential benefits in terms of informative gains (Goodhart and Shoenmaker 1995, Llewellyn 2005) (moral hazard effect). Secondly, implementing a monopolistic central bank regime can be costly given that the policymaker delegates the conduct of business controls to the central bank, which have not traditionally sought to become involved in such matters of transparency and have therefore focused on stability (Goodhart 2007 and Bini Smaghi 2007) (conflict of interests effect). Thirdly, the policymaker has to take into account the risks of increasing the bureaucratic powers of the central bank (bureaucracy effect). Table 1 documents cases of bureaucracy effect. But also the alternative solution – the building up of a unified supervisor that is different from the central banker - can face difficulties caused by the central bank position. In fact the policymaker may face costs in establishing a single financial authority, reducing the central bank’s involvement in supervision, if the central bank’s reputation is high; at the same time, if the reputation of the central bank is low, or decreasing, the establishment of a single financial authority is more likely to occur (reputation effect). The reputation effect can work in both directions. Cases of reputation effect are described in Table 1. Therefore in implementing a supervisory reform the so called central bank fragmentation effect (Masciandaro 2006 and 2007) - the more the central banker is involved in supervision the less likely a unified supervision will be – can occur. The central bank involvement is supervision increases the costs in implementing a financial supervision unification. Coming back to the delegation problem, the sequence of events is as follows. Society chooses to delegate the task of designing the level of unification of the supervisory architecture. Next, the policymaker chooses effort a, before knowing his ability Ω in implementing this particular task. Finally, nature chooses Ω, outcomes are observed and the reward is paid. Citizens observe the outcome, not the relationship between effort and ability. The policymaker’s reward is based on the outcome y. The crucial point is that the supervision 5 design effectiveness is observable ex post – i.e. a level of consolidation that produces effective supervision - but not contractible ex ante. In fact if the level of effectiveness cannot be defined ex ante – the optimal level of consolidation so far does not exist – the policymaker cannot be rewarded directly through an explicit and verifiable contract. The policymaker is rewarded based on observed ex post performances of the chosen level of financial supervision consolidation. The incumbent policymaker wishes to be re-elected. Now we can take into account the possibility that different types of policymakers exist. On the one hand, one can adopt a helping hand (HH) view (Pigou 1938) of the policymaker’s type: he is motivated to improve the general welfare. The HH policymaker chooses to maintain or reform his country’s supervisory structure in an attempt to improve the efficiency of overall resource allocation. In this case his re-election is more likely to occur if the citizens’ utility exceeds a threshold W. Denoting by β the value of office and by a1 the effort, the reward function – given (1) and (2) - for the HH policymaker is: R(a1 ) = β Pr (U ≥ W ) R(a1 ) = β Pr (a1 + Ω ≥ W ) = β Pr (Ω ≥ W − a1 ) . 0 ≤ R(a1 ) ≤ β . Given the citizens’ threshold, the three possible cases are as follows: a) the ability of the politician is irrelevant: Ω L ≥ W − a1 ; then Ω H > Ω L ≥ W − a1 and therefore Pr (Ω ≥ W − a1 ) = 1 and R(a1 ) = β . b) the ability of the politician is crucial: Ω L < W − a1 ≤ Ω H and R(a1 ) = β (1 − p ) . c) the ability of the politician is not sufficient at all: Ω H < W − a1 and R(a1 ) = 0 Voters are rational. They realise that the alternative to re-electing the incumbent is to get another politician with average ability. It follows that: W = a e + Ω AV with Ω AV = Where ΩL + ΩH 2 a e are the voters’ expectations. The HH policymaker chooses effort before observing his talent in implementing a supervisory regime design, taking the expectations as given. The utility function of the politician is: 6 Ω + ΩH ⎛ ⎞ + a e − a1 ⎟ − c(a1 ) R(a1 ) − c(a1 ) = β Pr ⎜ Ω ≥ L 2 ⎝ ⎠ The function can assume the following three values: ⎧ if ⎪β − c(a1 ) ⎪ ⎪ R(a1 ) − c(a1 ) = ⎨β (1 − p ) − c(a1 ) if ⎪ ⎪ if ⎪− c(a1 ) ⎩ ΩL + ΩH + a e − a1 2 Ω + ΩH ΩH ≥ L + a e − a1 2 Ω + ΩH ΩH < L + a e − a1 2 ΩL ≥ It is evident that the interest of the politician in implementing a greater level of supervisory consolidation will depend, ceteris paribus, on the costs’ level. In particular, the more the central bank is involved in supervision, the smaller the likelihood of a supervision consolidation will be. Alternatively we can use a grabbing hand (GH) view of the political process (Shleifer and Vishny 1988). According to the grabbing hand approach, the policymakers are motivated by the aim to please the interest of specific, well-defined voters. In our case, the financial industry may be considered a highly organised and powerful interest group. The financial industry is likely to be a smaller and more coherent group than the consumers of their services, and therefore politically better organised. The GH policymaker, in defining the supervisory setting, depends on the market view of supervision, if this univocally determines his re-election. The preferences of the financial constituency can be written as: V = (1 + δ ) y 2 − f The parameter δ represents the importance of the supervisory consolidation goal for the financial constituency. Using δ we can study the possibility that the central bank should be a captured institution. In fact if we consider the existence of a financial lobby, we have to take into account the possibility that also the central bank should please the financial constituency. If the central is a captured agency, δ is equivalent to the degree of central bank involvement in supervision: the more the central bank is involved in supervision, the greater the financial constituency interest in implementing a more consolidated supervision ( δ ≥ 0 ). Alternatively, if the central bank is an independent agency, the more the central banker is involved in supervision, the smaller the financial industry preference toward more consolidation in supervision ( δ ≤ 0 ). The parameter f represents the campaign contributions; their purpose is to determine the incumbent’s chances of winning the elections. Let us assume that the policymaker’s effort devoted to implementing the supervisory regime is observable by the financial constituency; the financial professionals can be considered insider agents respect to the other citizens. 7 Therefore the campaign contributions can be contingent upon the policymaker effort: f(a2); for simplicity f = ka2. The GH policymaker chooses effort taking into account the lobby goal function. The utility function of the politician is: R ( y 2 ) = βV = β [(1 + δ ) y 2 − f ] = β [(1 + δ )(a 2 + Ω) − ka 2 ] R( y 2 ) − C (a 2 ) = β [(1 + δ )(a 2 + Ω) − ka 2 ] − c(a 2 ) R ( y 2 ) − C (a 2 ) > 0 β [(1 + δ )(a 2 + Ω)] > ( β k + c)(a 2 ) The interest of the politician in implementing a greater level of supervisory consolidation will depend, ceteris paribus, on the central bank involvement in supervision, provided that the central bank is a captured agency. Under these conditions a central bank unification effect is likely to occur. Otherwise a central bank fragmentation effect holds. Finally we can describe the politician when he faces the trade off between acting as a HH type rather than a GH type. In designing the supervisory regime, there are two possible policies, that is two different directions – effectiveness and capture – to which effort can be devoted, with different constituencies. The first policy – to pursue supervision effectiveness, labelled y1 = Ω + a1 – benefits the voters as a whole, while the second policy direction – supervision capture, labelled y2 = Ω + a2 – only benefits the financial constituency. The ability of the policymaker is assumed to be the same for implementing effectiveness and/or capture. The trade off in building up the supervisory architecture holds if : c = C (a1 + a2); for simplicity C (a1 + a 2 ) = (a1 + a 2 ) 2 and a 2 = 1 − a1 . Citizens influence policy only through elections. The financial constituency can influence policy through the campaign contributions. his effect can be analysed by saying that the voters’ reservation utility is a decreasing function of the campaign contributions collected by the incumbent: W = a e + Ω AV − H ( f ) Where the function H (f) – we can label it the “institutional function” - represents the effects of the campaign contributions, with H ( f ) = simplicity H ( f ) = f 1 , H '( f ) = > 0 , H ' ' ( f ) < 0 ; for 1+ f (1 + f )2 ka 2 f . = 1 + f 1 + ka 2 8 The features of the institutional function can represent all the structural factors that increase or decrease the possibility of the financial constituency to actually influence the policymaker’s behaviour. On this regard it is natural to suppose that the quality of the political institutions matters. In countries with good performances in public sector governance it is more likely that an HH policymaker is in charge in implementing the supervisory design, i.e. the captured policymaker is less likely to occur. The sequencing of the events is as follows. First the society assigns the task of designing the supervisory regime. Then the financial constituency commits to campaign contributions as a function of effort. Next the policymaker allocates effort between effectiveness and capture, and determines the level of supervision unification, taking into account the influence of the role of the central bank. Nature chooses a realisation of Ω. Finally, rewards are paid. Here we have a common agency game, with two types of principals: the representative voter and the financial constituency. The financial constituency has all the commitment power and can influence the policymaker through campaign contributions, if this instrument is sufficiently effective in swaying the voters. In equilibrium, the allocation of effort must be jointly optimal for the policymaker and the financial constituency, given voters’ expectations. The policymaker’s preferences become: R( y1 , y 2 ) − C (a1 + a 2 ) [ where: ] R( y1 , y2 ) = β Pr Ω ≥ Ω M + a e − a1 − H ( f ) + (1 + δ )(a2 + Ω) − f ⎧ ⎪β − H ( f ) + (1 + δ )(a 2 + Ω) − f ⎪ ⎪ R( y1 , y 2 ) = ⎨β (1 − p ) − H ( f ) + (1 + δ )(a 2 + Ω) − f ⎪ ⎪ ⎪− H ( f ) + (1 + δ )(a 2 + Ω) − f ⎩ ΩH − ΩL 2 Ω − ΩL if a1 ≥ a e − H 2 Ω − ΩL if a1 < a e − H 2 if a1 ≥ a e + and ⎧ Ω − ΩL f if a1 ≥ a e + H ⎪β − 1 + f + (1 + δ )(a 2 + Ω) − f − C (a1 + a 2 ) 2 ⎪ ⎪ Ω − ΩL f + (1 + δ )(a 2 + Ω) − f − C (a1 + a 2 ) if a1 ≥ a e − H R( y1 , y 2 ) − C (a1 + a 2 ) = ⎨β (1 − p ) − 1+ f 2 ⎪ ⎪ Ω − ΩL f + (1 + δ )(a 2 + Ω) − f − C (a1 + a 2 ) if a1 < a e − H ⎪− 2 ⎩ 1+ f Not surprisingly the utility of the policymaker in pursuing the supervisory effectiveness will depend on the parameters that characterise the preferences of the financial constituency. The likelihood of a HH type is increasing when the incentives for supervisory capturing are 9 decreasing. Considering the more general case – i.e. the ability of the politician is irrelevant – we have that: U PM = R ( y1 , y 2 ) − C (a1 + a 2 ) = β − ka 2 2 + (1 + δ )(a 2 + Ω) − ka 2 − (a1 + a 2 ) 1 + ka 2 ∂U PM k = − (1 + δ ) + k ∂a1 [1 + k (1 − a1 )]2 ∂U PM k = + k > (1 + δ ) ∂a1 [1 + k (1 − a1 )]2 ∂U PM (1 + δ ) with a = 0 =k> 1 2 ∂a1 The properties of the equilibrium – and then the relationship between the supervision unification and the central bank involvement – will depend on how effective the lobby is in influencing the voters. Let us summarise the main findings. We model the design of the financial supervision unification as a delegation problem, where the policymaker follows a sequential process: given the institutional position of the central bank, he chooses the supervisory design. If we take into account the existence of two constituencies with different preferences – the citizens and the financial industry – we can analyses the behaviour of two alternative policymakers: the HH type versus the GH type. If the policymaker acts as an HH type the central bank involvement in supervision can be viewed an obstacle in the supervision consolidation if at least one of the three effects – moral hazard effect, conflict of interest effect and bureaucracy effect – holds. The central bank fragmentation effect is likely to occur. If the policymaker chooses to please the financial community acting as a GH type, the central bank fragmentation effect is less likely to occur, provided that the financial community likes a more consolidated supervision, and the central bank involvement is a proxy of the financial constituency power. If and only if these assumptions hold we can disentangle the effect of different types of policymakers over the relationship between the financial supervision unification and the central bank involvement. Otherwise a signal extraction problem occurs. For example, other things being equal, if the central bank is not a captured one and the policymaker acts as a GH type, the central bank fragmentation effect is likely to occur again. 10 3. Measuring the Unification of Financial Supervision and the Central Bank Involvement Our model predicts the possibility of different degrees of unification in the design of the supervisory governance structure, depending on the type of the policymaker involved, and on the features of the parameters of the model (i.e. the structural environment in which the policymaker takes his decisions). In the real world, the type of the policymaker – as well as all the structural and institutional channels which influence his behaviour – is a hidden variable. At each point in time, we can only observe the politicians’ decision to maintain or reform the supervisory governance structure, in particular its level of unification. Therefore the next step is to measure the degree of unification in the actual supervisory regimes, as well as the central bank involvement, which represents our key explanatory variable. How can the degree of unification of financial supervision be measured? This is where the financial supervision unification index (FSU Index) comes in (description in Table 2). This index was created through an analysis of which and how many authorities in the 91 countries examined are empowered to supervise the three traditional sectors of financial activity: banking, securities markets and insurance2. The country sample depends on the availability of institutional data3. To transform the qualitative information into quantitative indicators, we assigned a numerical value to each type of regime, in order to highlight the number of the agencies involved. The rationale by which we assigned the values simply considers the concept of unification of supervisory powers: the greater the unification, the higher the index value. There are five qualitative characteristics of supervisory regimes that we decided not to consider in constructing this index. Firstly, we did not consider the legal nature – public or private – of the supervisory agencies nor their relationship to the political system (degree of independence, level of accountability). Secondly, at least in each industrial country, there is an authority to protect competition and the market, with duties that impinge on the financial sectors. But, since it is a factor common to all the structures, we decided not to consider the antitrust powers account in constructing the index. Moreover we did not consider who is involved in the management of the deposit insurance schemes. In general, we consider only the three traditional sectors (banking, securities and insurance markets) that have been the subject of supervision. Finally, the financial authorities may perform different functions in the regulatory as well as in the supervisory area. However, at this first stage of the institutional analysis, we prefer to consider only the number of the agencies involved in the supervisory activities. 2 Sources: for all countries, official documents and websites of the central banks and the other financial authorities. The information is updated to 2006. See Table 2. 3 In the empirical analysis we do not include the very small countries and territories (Bahrain, Bermuda, Cayman Islands, Gibraltar, Hong Kong Maldives, Netherlands Antilles, Singapore and United Arab Emirates) with a single financial authority so as to avoid an evident bias in the empirical analysis. 11 Figure 2 shows the distribution of the FSU Index. On the one hand there are countries (40) with a low consolidation of supervision (the Index is equal to 0 or 1). On the other, there are countries (15) that established a unified supervisor, with a high level of supervision consolidation. Now we will consider what role the central bank plays in the various national supervisory regimes. We use the index of the central bank's involvement in financial supervision: the Central Bank as Financial Authority Index (CBFA) (description in Table 2). Figure 3 shows the distribution of the CBFA Index. In the majority of countries in our sample (39) the central bank is the main bank supervisor (the Index is equal to 2), while in very few countries (2) the central bank is monopolistic in the overall financial supervision (the Index is equal to 4). It is interesting to note that in general the present degree of the central bank involvement has been established in the previous years, and then confirmed in subsequent reforms. For each country we compare the year in which the present degree of central bank involvement in supervision was established (i.e. definition of the CBFA Index, blue line), with the year of the most recent reform of the supervisory architecture (i.e. definition of the FSU Index, red line) (Figure 4). Given the data of 88 national reforms of the supervisory architecture, the central bank involvement was confirmed in 67 cases (76%), decreased in 16 cases (18%), increased in 5 cases (6%). Finally, considering both indexes for the countries in our sample (Figure 5), the analysis shows that the two most frequent regimes are polarised: on the one hand, Unified Supervisor regime (13 cases, red ball); on the other, Central Dominated Multiple Supervisors regime (27 cases, white ball). The Figure seems to depict a trade off between supervision unification and central bank involvement, with two outliers (green ball). 4. Empirical Results We can now empirically investigate the robustness of the relationship between the degree of financial supervision unification and central bank involvement. Supervisory regimes can be viewed as resulting from an unobserved variable: the policymaker’s optimal degree of financial supervision unification. Each regime corresponds to a specific range of the optimal financial supervision unification, with higher discrete FSU Index values corresponding to a higher range of financial unification values. Our qualitative dependent variable can be classified into more than two categories, given that the FSU Index is a multinomial variable. But the FSU Index is also an ordinal variable, given that it reflects a ranking. Then the ordered model is an appropriate estimator, given the ordered nature of the policymaker alternative. 12 Following our theoretical setup, each policymaker – either the HH type or the GH type maximises his objective function and determines his optimal level of supervision unification, given the features of the structural variables4. The sample is made up of 88 countries belonging to all continents. Most of the data have been collected using World Bank Surveys and official public documents (see Table 3). All descriptive statistics are reported in Table 3A. An ordered Logit is used to pursue our objectives of both understanding which features determine the policymaker choice of a given supervisory setting and of estimating the role of the central bank in determining his choice. In our estimation we start using the central bank’s involvement as a proxy of its influence. Our results are reported in Tables 4 and 5. The first result that emerges is a significant inverse relationship between the supervision unification and central bank involvement. The central bank fragmentation effect – instead of the central bank unification effect – holds. The second result is related to the role of the political governance. Our results highlight a relationship between the level of supervision unification and good governance performances. Finally we include population in all regressions as an exogenous scale factor. The estimated parameter is significant, highlighting a small country effect: whatever the policymaker type, with relatively few people the expertise in financial supervision is likely to be in short supply, and concentration is more likely to occur. 4.1 Robustness The aim of the robustness tests was twofold. First of all, we tested the robustness of our predictions using several control variables (Table 4 and 5); secondly we tested different definitions of the dependent variable (Table 6); finally we used alternative central bank indicators (Table 7). As a control factor, wealth features of each country are captured by per capita GDP, which are insignificant (Table 4). We also included controls for the standard proxies of financial structures. It has been stressed that the changes in the supervisory architecture are taking place against the backdrop of fundamental changes in the financial markets. Many of the subsequent studies devoted to the analysis of the recent evolution in supervision design stressed the importance of the characteristics of the financial markets – as the classic distinction between bank-based or market-based financial systems – as determinants in the choice for a total or partial unification of the supervisory regimes (Masciandaro 2005 and Masciandaro and Quintyn 2007). The traditional market-based versus bank-based index The latent variable - the policymaker’s optimal degree of financial supervision unification y* - is determined by: y*=β’ x + ε where ε is a random disturbance uncorrelated with the regressors, and β is a 1 x K regressors’ vector. The policymaker’s choice is summarized in the value of the FSU Index, which represents the threshold value. For our dependent variable there are seven threshold values. The impact of a change in an explanatory variable on the estimated probabilities of the highest and lowest of the order classifications—in our case the Single Authority model and the “pure” Multi-supervisory model—is unequivocal: If βj is positive, for example, an increase in the value of xj increases the probability of having the Single Authority model, while it decreases the probability of having the “pure” Multi-supervisory model. 4 13 shows no relationship with the choice of the supervisory model. The same result holds true using - as alternative proxies of the financial structure - the development of the financial markets, measured by the level of market capitalization, and the size of the banking system, measured by the asset dimension. We also controlled for geographical variables (Table 5). We use a dummy for Europe, in order to test the possible presence of some sort of “mimic effect” among neighbouring countries. Geographical dummies are also required to capture the existence of international agreements between countries – such as the European Union, or the OECD membership – which may influence their national behaviour. Finally we asked ourselves if geography matters in testing the endowment view (Beck, Demirguc – Kunt and Levine 2001): historically, lands with high rates of disease and inhospitable conditions are not able to support the overall institutional development, which promotes the quality of the financial structures. The geographical testing did not produce any results. Furthermore we used a temporal variable. Let us remember that the number of countries that are reviewing their supervisory structures and the governance arrangements is increasing year after year. So a legitimate question about whether there was a kind of fashion effect (or bandwagon effect) at work arose, i.e. if recent reformers were inspired by the type of changes in governance arrangements introduced by earlier reformers, producing a trend towards unification. For each country we used the year of last supervisory reform as proxy of the fashion effect; the result was not significant. We focused on the possible effect of the legal origins. The law and finance literature (La Porta, de Silanes, Shleifer, and Vishny 1997) claimed that legal origin is associated with a variety of aspects of policymakers’ performance. Countries of English (market friendly) legal origin perform better than countries with legal systems rooted in French, German, Scandinavian or other (socialist, Muslim) traditions. According to these sources, market friendly law traditions offer better protection against bad public policy (as in expropriation by the State) and greater incentive in providing public goods (as in good regulation). In countries with market friendly law origins, an HH policymaker is more likely to occur. Our results were puzzling: the level of supervision unification is linked with the Civil Law root, in particular with German and Scandinavian law jurisdictions. The testing of the legal origins effect produced mixed results in the empirical works5, so we decided to investigate this issue further in the future. Finally, we wonder whether the occurrence of a financial crises has an impact on the supervisory institutional setup. We suggest that the occurrence of a crisis may affect the features of the regime. We can imagine that both types of policymaker can be affected by such crisis, although the impact of a crisis experience on the level of supervision consolidation is far to be clear. For each country we used as proxy of the crisis effect a dummy variable reflecting 5 In Masciandaro 2006 the legal origin effect disappeared when different classifications of legal origins are used while in Masciandaro 2007, with a different sample size, the legal origin effect holds using the alternative classifications. 14 whether a banking crisis has occurred up to five years before the year of the reform which established the actual supervisory regime6. The result was not significant. Taking into consideration the dependent variable, we asked ourselves if the results hold with different specifications (Table 6). First of all, we eliminated the weights attributed to the banking and financial supervisory responsibility in terms of the insurance sector supervision7. The central bank fragmentation effect was much stronger, the governance effect holds, while the small country effect and the law effect were not significant. Secondly we tested a more radical hypothesis: each policymaker simply decides between the two extreme regimes of supervision, single authority (complete centralisation) versus multi-authority (decentralisation). The dependent variable became a dummy, to be estimated using a simple Logit. Again the central bank fragmentation effect and the governance effect were the only significant ones. Finally we classified the supervisory regimes trying to disentangle the type of models: unified model (single supervisor), hybrid model (at least one authority monitor for more than one sector, as in the case of the twin – or more – peaks approach), specialised model (separate authorities for each sector, at least one per sector)8. The central bank effect, the governance effect and the law effect were significant. Finally we considered the issue of potential endogeneity of the central bank role. First of all we assumed that the central bank involvement was a consequence of the policymakers’ decision on the degree of supervision consolidation (reverse causality), and we explored the theoretical rationale of it. However we rejected this hypothesis, given that different specifications of the selected model failed to explain the central bank involvement in supervision (Table 7). Secondly we tested different indicators of the central bank role, which should have suffered less from endogeneity risks. We tested the conclusion that policymakers dislike the supervision unification in the hands of the central bank in order to avoid the creation of a powerful agency. The HH policymaker could fear that a monopolist central bank is a potential source of bureaucratic inefficiency, while the GH policymaker could see an independent (no captured) central bank as an obstacle to its discretion, given that he needs a high degree of freedom to please its constituency9. Therefore we used two different proxies of the central bank power: the central bank age, assuming that an old central bank is more influential; the central bank independence. The central bank age was calculated in three 6 In order to take into account the time lag between a financial crisis and the implementation of a supervisory reform and without any systematic statistics (using a group of 15 countries that have adopted a unified supervisor De Luna Martinez and Rose 2003 claimed that the timeframe required to complete a reform has taken on average between one and two years) we use a rule of thumb of five years. 7 We used an index (SFU Two) according to the following scale: 5 = Single authority for all three sectors (total number of supervisors = 1); 3 = Single authority for two sectors (total number of supervisors = 2); 1 = Specialized authorities for each sector (total number of supervisors = at least 3). The correlation between SFU and SFU is 0.93. 8 We used an index (SFU Three) according to the following scale: 5 = Unified model; 3 = Hybrid model 1 = Specialized model. The correlation between SFU and SFU Three is 0.88, while the correlation between SFU Two and SFU Three is 0.91. 9 It is evident from a theoretical point of view that highlighting the overall role of the central bank position is different but not alternative with respect to focusing on the central bank involvement. Therefore we cannot consider the Central Bank Age (CBA) Indexes and the CBI Index as instrumental variables respect to the CBFA Index. Empirically we confirmed that the variables are low correlated (the correlation between the CBFA Index and the Central Bank Age (CBA) Indexes are respectively – 0.16,-0.13, -0.02, while between the CBFA Index and the CBI Index is – 0.18). 15 different ways. The absolute effects of the four new indicators - as well as their composite effects with the FSU Index - were not significant at all (Table 8). 4.2 Predictions The results we reached were consistent with the topics discussed in the theoretical section which stressed a possible role of the central bank position in influencing the policymakers’ choices. The central bank role matters. Moreover, given that the type of the policymaker is unknown, the story goes as follows. Each policymaker, in determining the level of unified supervision, could be influenced by the involvement of the central bank, but under different conditions. If the policymaker is of an HH type, it should care about the effectiveness of the supervision, in order to please the citizens. If the policymaker sees the supervision consolidation as a welfare improvement, then the central bank involvement could be viewed as an obstacle, but only if at least one of the three effects described above – i.e. moral hazard, conflict of interest and bureaucracy –holds. If the policymaker is of a GH type, it wishes to please the financial constituency. In this case the central bank fragmentation effect holds if, and only if, the financial constituency dislikes the unified supervision and the central bank is a captured agency. The level of supervision consolidation depends also on the overall quality of the political process: in countries characterised by a good public sector governance, an HH type of policymaker is more likely to occur, which in turn will promote a supervision unification if welfare is improving. 5. Conclusions The evolution of financial supervision architecture depends on the political cost – benefit analysis. This paper discusses under which conditions the politicians prefer to implement a unified sector supervision outside the central bank. What are the policy implications of our analysis? In general terms the quality of public sector governance plays a crucial role in determining the supervision unification. Focusing on the behaviour of the “good” policymaker (HH type), it will prefer a unified financial authority that is different from the central bank if the correspondent welfare gains – linked to at least one of the three effects: moral hazard, conflict of interest and bureaucracy – are considered high. The “bad” policymaker (GH type) will choose the single financial authority if the financial industry likes it, and the central bank is not a captured one. At national level these rules of thumb can explain both the emerging trend towards the single financial authorities, and the (so far few) cases of supervisory consolidation in favour of the central banks. Let us consider for example the three European cases in which the reforms of the supervision architecture increased – Ireland and the Netherlands – or could increase – Italy – the power of the national central bank. Ireland, the Netherlands and Italy are members 16 of the Economic and Monetary Union, and their central banks no longer have the full responsibility for national monetary policies. Therefore we can interpret these reforms as cases in which HH policymakers can increase the central bank role in supervision, given that the risks of moral hazard, conflict of interest risks, bureaucratic overpower are likely to be low, while the reputation gains are likely to be high. Alternatively, we can study each of these reforms as possible cases of GH policymakers that implement the supervision regime favoured by the financial industry. In general, disentangling the two interpretations in specific country cases can be a welcome extension of the research agenda. At European level our model predicts that the establishment of a single financial authority is less likely to occur with the presence of a European central bank deeply involved in supervision. Conversely, the less the European Central Bank is involved in the financial supervision architecture, the more likely the establishment of a European Single Financial Authority will be. 17 6. References Abrams, R.K., Taylor, M.W., 2002. Assessing the Case for Unified Sector Supervision. FMG Special Papers n.134, Financial Markets Group, LSE, London. Alesina, A., Tabellini, G., 2003. Bureaucrats or Politicians? Part II: Multiple Policy Task. Discussion Paper n.2009, Harvard Institute of Economic Research, Harvard University, MA. Arnone, M., Gambini, A., 2007. Architecture of Supervisory Authorities and Banking Supervision. In: Masciandaro D. and Quintyn M. (Eds.), Designing Financial Supervision Institutions: Independence, Accountability and Governance, Edward Elgar, Cheltenham, 262308. Barth, J.R., Nolle, D.E., Phumiwasana, T. and Yago, G. 2002. A Cross Country Analysis of the Bank Supervisory Framework and Bank Performance. Financial Markets, Institutions & Instruments, vol. 12, n.2, 67-120. Beck, T., Demirguc-Kunt, A., and Levine R., 2001. Law, Politics and Finance, World Bank Policy Research, Working Paper n. 2585, Washington D.C. Bini Smagh,i L., 2007. Independence and Accountability in Supervision. In: Masciandaro D. and Quintyn M. (Eds.), Designing Financial Supervision Institutions: Independence, Accountability and Governance, Edward Elgar, Cheltenham, (forth.). Cihak, M., Podpiera, R., 2007a. Experience with Integrated Supervisors: Governance and Quality of Supervision. In: Masciandaro D. and Quintyn M. (Eds.), Designing Financial Supervision Institutions: Independence, Accountability and Governance, Edward Elgar, Cheltenham, 309-341. Cihàk M. and Podpiera R., 2007b. Does More Integrated Supervision mean Better Supervision? Finlawmetrics 2007, Bocconi University, mimeo. De Luna Martinez, J., Rose, T.A., 2003. International Survey of Integrated Financial Sector Supervision. Policy Research Working Paper Series, n.3096, World Bank, Washington D.C. Garcia Herrero, A., and Del Rio P., 2003. Implication of the Design of Monetary Policy for Financial Stability. 24th SUERF Colloquium, Tallin. Société Universitaire Européenne de Recherches Financières, Wien. Goodhart, C.A.E, Shoenmaker, D. 1995. Should the Functions of Monetary Policy and Banking Supervision be Separated? Oxford Economic Papers, vol.47, n.4, 539-560. Goodhart, C.A.E., 2004. Financial Supervision from an Historical Perspective: Was the Development of Such Supervision Designed, or largely Accidental?, Conference on the Structure of Financial Regulation, Bank of Finland, mimeo. Goodhart, C.A.E., 2007. Introduction. In: Masciandaro D. and Quintyn M. (Eds.), Designing Financial Supervision Institutions: Independence, Accountability and Governance, Edward Elgar, Cheltenham, 12-26. Honohan, P., Laeven, L., (Eds.), 2005. Systemic Financial Crises: Containment and Resolution, Cambridge University Press, Cambridge UK. La Porta, R., Lopez de Silanes, F., Shleifer, A., Vishny, R.W., 1997. Legal Determinants of External Finance. Journal of Finance, vol. 52, n.3, 1131-1150. 18 Llewellyn, D.T., 2005. Institutional Structure of Financial Regulation and Supervision: the Basic Issues. In: Fleming A., Llewellyn D.T. and Carmichael J. (Eds.), Aligning Financial Supervision Structures with Country Needs, World Bank Publications, Washington D.C, 19-85. Masciandaro, D., 2004. Unification in Financial Sector Supervision: the Trade off between Central Bank and Single Authority. Journal of Financial Regulation and Compliance, vol. 12, n.2, 151-169. Masciandaro, D., (Ed.). 2005. 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Tables and Figures Figure 1 - Financial Supervisory Regimes: number of reforms per year (1986-2006) 16 14 12 10 8 6 4 2 0 1986 1987 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 20 Figure 2 - Financial Supervision Unification Index 40 35 30 number of countries 25 20 Serie1 15 10 5 0 FSU0 FSU1 FSU2 FSU3 FSU4 FSU5 FSU6 FSU7 financial supervision unification index 21 Figure 3 - Central Bank as Financial Supervisor Index 45 40 35 30 of countries number 25 Serie1 20 15 10 5 0 CBFA1 CBFA2 CBFA3 CBFA4 central bank involvement in supervision 22 Figure 4 - FSU and CBFA Indexes: Time Lags 2050 2000 1950 1900 1850 years Serie1 Serie2 1800 1750 1700 1650 1600 1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 55 58 61 64 67 70 73 76 79 82 85 88 countries 23 Figure 5 - FSU and CBFA Indexes: The Trade Off 9 8 7 13 2 6 financial supervision unification 5 4 Serie1 Log. (Serie1) 3 2 R =- 0.33 2 1 27 0 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 -1 -2 central bank involvement 24 Table 1 Politicians and Supervisory Reforms: When the Central Bank Role Matters EFFECTS BUREAUCRACY EFFECT REPUTATION EFFECT EPISODES In the United Kingdom case, Goodhart 2004 and Westrup 2006 stressed that, among all the arguments that led the Government in 1997 to establish the Financial Services Authority (FSA), removing supervision from the Bank of England could have been a quid pro quo for giving it monetary independence, on the grounds that a central bank with too many functions could be too much of a power centre within the democratic system. In Norway, due to the banking crisis in the early 1990s, the possibility of merging the BISC with the central bank was considered by a committee appointed by the Ministry of Finance. But the Parliament, in order to avoid an excessive concentration of power, ruled that the BISC continue as a separated and independent agency (Skogstad Aamo 2005). The difficulties in implementing reforms that reduce the central bank involvement in supervision when is reputation is high is documented in several case studies. In France a reform was recently implemented, merging into one regulatory authority – Autorité des Marchés Financiers (AMF) – different financial supervision responsibilities, but the Banque de France prerogatives remained unchanged. In 2004, after the Parmalat scandal, the Italian Government proposed a draft text of a bill, concerning a general reform of the supervisory architectures, based on the establishment of a single financial authority.The proposed reform encountered strong opposition from a bi-partisan coalition, defending the role of the Bank of Italy in promoting financial stability. The reform was rejected. Finland has opted not to adopt the unified approach in financial supervision, in contrast with the other Scandinavian countries. Taylor and Fleming 1999 claimed that the Bank of Finland involvement in supervision has to be considered in explaining this choice. In Iceland, prior to the establishment of the single financial agency, banking supervision was conducted by the central bank. In 1996, a committee was set up by the Minister of Commerce, to look at prospects of moving toward unified supervision. Mwenda and Fleming 2001 reported that only one member on the committee – the central bank official – voted against the introduction of unified financial supervision. However, the central bank obtained the ability to appoint one of the three members of the single financial authority board. Also in Germany – as Westrup 2007 reported – the Bundesbank did a public campaign to lobby again the creation of BaFin On the contrary, if the reputation of the central bank is low, or decreasing, the establishment of a single financial authority could be more likely to occur, despite its involvement in supervision. The supervisory failure of the UK central bank is well documented in Westrup 2006. The link between banking instability, central bank reputation failure and single financial authority establishment is also evident in the Baltic unified supervisory architectures and in the case of Korea. Estonia experienced a severe banking crisis in 1998 and 1999. In May 2001, the Estonian Parliament adopted the Financial Supervisory Authority. Before the Act, the supervision was split into the three traditional sets of institutions. The Bank of Estonia was responsible for state supervision of banking (Liive 2005). Latvia experienced banking and financial crises in 1995 and in 1998. In July 2001, the Financial and Capital Market Commission was established, as a consolidated institution. In Korea, until 1997, the central bank was responsible for banking supervision; however – as Lee noted – the Ministry of Finance dominated the central bank. Following the 1997 financial crisis, a presidential committee recommended a drastic overhaul of the organization of the central bank and the country’s supervisory structure. As a result, the former four financial supervisory authorities were combined into one integrated financial supervisory body, the Financial Supervisory Committee. Also China – Quintyn et al 2006 – moved supervision out of central bank in the wake of period o financial sector distress. It is interesting to note that the reputation failure effect can hold regardless the nature of the agency involved. In Norway – as we noted above – after the 1990s banking crisis the Ministry of Finance considered the possibility to merge the single financial authority with the central bank. 25 Table 2 Supervisory Authorities in 91 countries (year 2006): FSU Index and CBFA Index Countries FSU CBFA Countries FSU CBFA Albania Argentina Australia 1 1 6 2 2 1 Korea Latvia Lebanon 7 7 2 1 1 3 Austria 6 1 Libya 3 2 Bahamas 1 2 Lithuania 1 2 Belarus 1 2 Luxembourg 5 1 Belgium 7 1 Macedonia 1 2 Bolivia 3 1 Malaysia 3 3 Bosnia 0 2 Malta 7 1 Botswana 1 1 Mauritius 3 2 Brazil 2 3 Mexico 5 1 Bulgaria 1 2 Moldova 1 2 Cameroon 1 1 Morocco 2 2 Canada 3 1 Netherlands 2 3 1 2 Chile 3 1 New Zealand China 1 1 Nicaragua Colombia 3 1 Norway 7 1 Costa Rica 1 1 Pakistan 2 3 Croatia 1 2 Panama Cyprus 1 2 Peru 3 1 7 1 1 1 Czech Rep. 1 2 Philippines 2 3 Denmark 7 1 Poland 1 1 Ecuador 3 1 Portugal 2 3 Egypt 1 2 Romania 1 2 2 El Salvador Russia 1 Estonia 7 1 Saudi Arabia 7 _ Finland 5 1 Singapore 7 _ France 1 3 Slovak Rep. 2 2 Georgia 1 2 Slovenia 1 2 Germany 6 1 South Africa 3 2 Greece 1 2 Spain 1 3 Guatemala Hong Kong 3 3 1 1 1 _ Sri Lanka 1 2 Sweden 7 1 Hungary 7 1 Switzerland 5 1 Iceland 7 1 Thailand 1 2 India 0 2 Tri. & Tobago 1 2 Iran 5 3 Tunisia 1 2 Ireland 7 4 Turkey 1 1 Israel 2 2 Ukraine 1 2 Italy 2 3 UAE 1 2 Jamaica 3 2 UK 7 1 Japan 6 1 USA 0 2 Jordan 1 2 Uruguay 7 4 Venezuela 1 2 Vietnam 1 2 Zimbabwe 1 2 Kazakhstan Kenya 3 0 3 2 * FSU INDEX The index was built on the following scale: 7 = Single authority for all three sectors (total number of supervisors=1); 5 = Single authority for the banking sector and securities markets (total number of supervisors=2); 3 = Single authority for the insurance sector and the securities markets, or for the insurance sector and the banking sector (total number of supervisors=2); 1 = Specialized authority for each sector (total number of supervisors=3). We assigned a value of 5 to the single supervisor for the banking sector and securities markets because of the predominant importance of banking intermediation and securities markets over insurance in every national financial industry. It also interesting to note that, in the group of integrated supervisory agency countries, there seems to be a 26 higher degree of integration between banking and securities supervision than between banking and insurance supervision1; therefore, the degree of concentration of powers, ceteris paribus, is greater. These observations do not, however, weigh another qualitative characteristic: There are countries in which one sector is supervised by more than one authority. It is likely that the degree of concentration rises when there are two authorities in a given sector, one of which has other powers in a second sector. On the other hand, the degree of concentration falls when there are two authorities in a given sector, neither of which has other powers in a second sector. It would therefore seem advisable to include these aspects in evaluating the various national supervisory structures by modifying the index as follows: adding 1 if there is at least one sector in the country with two authorities, and one of these authorities is also responsible for at least one other sector; subtracting 1 if there is at least one sector in the country with two authorities assigned to supervision, but neither of these authorities has responsibility for another sector; 0 elsewhere. ** CBFA INDEX For each country, and given the three traditional financial sectors (banking, securities and insurance), the CBFA index is equal to: 1 if the central bank is not assigned the main responsibility for banking supervision; 2 if the central bank has the main (or sole) responsibility for banking supervision; 3 if the central bank has responsibility in any two sectors; 4 if the central bank has responsibility in all three sectors (Table 1). In evaluating the role of the central bank in banking supervision, we considered the fact that, whatever the supervision regime, the monetary authority has responsibility in pursuing macro financial stability. Therefore, we chose the relative role of the central bank as a rule of thumb: we assigned a greater value (2 instead of 1) if the central bank is the sole or the main authority responsible for banking supervision. 27 Table 3 – Data Sources VARIABLE Financial Supervision Unification Index DEFINITION Section Three and Table2. See Masciandaro (2007) for further details. Central Bank Involvement Index Section Three and Table2. See Masciandaro (2007) for further details. Good Political Governance The index is built using all the indicators proposed by Kaufmann et al. (2003). Average values 1996, 1998, 2000, 2002, 2004 Population Millions of inhabitants. Average values 1996, 1998, 2000, 2002, 2004 World Development Indicators, World Bank. Per Capita GDP Per capita GDP. Average values: 1996, 1998, 2000, 2002, 2004 World Development Indicators, World Bank Financial Markets Capitalization Measure of the securities market size, relative to GDP. Average values 1996, 1998, 2000, 2002, 2004 World Development Indicators, World Bank Market vs banked systems Market versus bank based countries. Dummy variable computed using different banking and financial variables: see Demigüç-Kunt and Levine (1999) for further details. Average values 1996, 1998, 2000, 2002, 2004 World Development Indicators , World Bank, Bankscope Banking Assets Measure of the banking market size, relative to GDP. Average values 1996, 1998, 2000, 2002, 2004 Dummy that signals whether a given country is European or not Dummy that signals whether a given country is a member of the European Union or not Dummy that signals whether a given country is a member of the OECD or not Proxy of the endowment view: the variable is calculated as the absolute value of the latitude of the country, scaled to take values between 0 and 1. See Beck, Demirguc-Kunt and Levine (2001) for details. World Development Indicators, World Bank, Bankscope Europe European Union OECD Latitude Financial Reform Year of the last reform of the supervision architectures Financial Crisis Impact Dummy that signals whether a crisis have occurred up to five years before the last reform of the supervisory architecture or not. Law Legal origin of countries. See Beck, Demirguc-Kunt and Levine (2001) for details. Level of the Central Bank Independence, using the Grilli, Masciandaro and Tabellini Central Bank Independence Index DATA SOURCES "How countries supervise their banks, insurances and securities markets 2006", Central Banking Publications Ltd, UK. Central Banks Websites. Richmond Law & Tax, Ldt. 2005 "How countries supervise ,,, 2006", Central Banking Publications Ltd, UK. Central Banks Websites. Richmond Law & Tax, Ldt. 2005 Kaufmann, D., Kraay, A., Mastruzzi, M., 2003. Governance matters III: governance indicators 1996-2002. Policy Research Working Paper Series, n.3106, World Bank World FactBook, CIA World FactBook, CIA World FactBook, CIA Beck, Demirguc-Kunt and Levine (2001), World FactBook, CIA "How countries supervise … 2006", Central Banking Publications Ltd, UK. Central Banks Website.. Richmond Law & Tax, Ldt. 2005 Data on financial crisis: Honohan and Laeven (2005) World FactBook, CIA Arnone, Laurens, Segalotto and Sommer, “Central Bank Autonomy: Lessons from Global Trends, IMF Working Paper, n07/88 28 Index. Central Bank Age Difference between 2006 and the Year of the CB establishment. "How countries supervise… 2005", Central Banking Publications Ltd, UK. Central Banks Websites. Richmond Law & Tax, Ldt. 2005 Central Bank Age respect to the other Supervisory Authorities Difference between the Year of the establishment of the older supervisory authority different from the CB and the Year of establishment of the CB Difference between the Year of the country independence and the Year of establishment of the CB . "How countries supervise… 2005", Central Banking Publications Ltd, UK. Central Banks Websites. Richmond Law & Tax, Ldt. 2005 Central Bank Age respect to the Country "How countries supervise… 2005", Central Banking Publications Ltd, UK. Central Banks Websites. Richmond Law & Tax, Ldt. 2005, World FactBook, CIA 29 Table 3a – Descriptive Statistics Variable Obs Mean Std. Dev. Min Max Financial Supervision 88 2.886364 2.360751 0 7 88 1.761364 0.758012 1 4 Governance 88 0.342514 0.838665 -1. 20921 1.7875 Population 88 53.3858 171.1093 0.277 1250.632 Per Capita GDP 88 15.90142 53.24116 0.403958 496.8288 Capitalization 88 11.0437 11.16024 0 48.07136 Banking Assets 88 2.596851 4.237767 0.087399 35.26738 88 1986 17.75561 1931 2005 88 0.667159 0.190118 0.25 1 88 75.375 56.53832 10 313 80 51.4 59.68559 -51 292 88 -108.625 256.4405 -1314 169 Unification Index Central Bank Involvement Index Good Financial Political Markets Supervision Reform: Year Central Bank Independence Index Central Bank Age Central Bank Age as Supervisor Central Bank Age as Institution 30 Table 3b – Correlation Matrix FSU CBFA Gov Pop P MvB FinM Ban Eur OECD Lat Com Civ YR GDP FSU CBFA 1 -0.330 1 0.441 -0.118 1 Population -0.175 -0.034 -0.132 1 Per C. GDP 0.109 -0.139 0.0713 -0.047 1 MvB 0.095 0.0087 0.1846 0.1793 -0.027 1 FinMarkets 0.290 -0.048 0.5602 -0.000 0.037 0.3999 1 Banking 0.266 -0.090 0.4833 -0.047 0.0933 0.0428 0.5375 1 Europe 0.188 0.0021 0.413 -0.176 -0.001 -0.026 0.0919 0.26 OECD 0.392 -0.154 0.7335 -0.067 0.0956 0.3045 0.4049 0.4 0.43 1 Lat 0.319 -0.087 0.4972 -0.068 -0.087 0.0886 0.1928 0.22 0.76 0.54 1 Com Law -0.071 0.1979 0.1502 0.1245 -0.035 0.2928 0.3362 0 -0.2 0 -0.2 1 Civil Law 0.262 -0.188 0.1327 -0.155 0.143 -0.118 -0.021 0.14 -0.1 0.17 -0.1 -0.51 YearReform 0.017 0.132 0.0941 0.1187 -0.134 0.026 -0.136 -0.0 0.28 0.04 0.32 0.11 Governance 1 1 -0.27 1 31 Table 4 - CHOICE OF SUPERVISORY UNIFICATION – Ordered Logit Estimation DEPENDENT VARIABLE: FSU INDEX CBAFA Index (a) (b) (c) (d) (e) -0.739** -0.708** -0.769** -0.773*** -0.736** (0.29) (0.3) (0.3) (0.3) (0.3) 0.827*** 0.833*** 0.781*** 0.624** 0.794*** (0.25) (0.25) (0.26) (0.3) (0.28) -0.00280** -0.00276** -0.00299** -0.00291** -0.00280** (0.0013) (0.0013) (0.0013) (0.0013) (0.0013) Good Political Governance Population Per Capita GDP 0.00197 (0.003) Markets vs Banks 0.386 (0.47) Financial Markets Capitalization 0.0267 (0.021) Banking Assets 0.0113 (0.046) Nr. Of observations: 88; Scale variable: population, gdp per capita Standard errors in parentheses; * significant at 10%; ** significant at 5%; *** significant at 1 % 32 Table 5 - CHOICE OF SUPERVISORY UNIFICATION – Ordered Logit Estimation DEPENDENT VARIABLE: FSU INDEX (f) CBAFA Index (g) (h) (i) (l) -0.710** -0.781*** -0.732** -0.741** -0.720** (0.29) (0.3) (0.3) (0.3) (0.3) (m) -0.721** (0.3) (n) (o) -0.689** -0.530* (0.3) (0.31) Good Political Governance Population Europe 0.920*** 0.694** 0.661* 0.788*** 0.840*** (0.29) (0.31) (0.36) (0.3) (0.26) -0.00292** -0.00277** -0.00283** -0.00280** -0.00274** (0.0013) (0.0013) (0.0013) (0.0013) (.0013) 0.822*** (0.25) -0.00274** (0.0013) 0.766*** 0.527* (0.26) (0.28) -0.00264** -0.00283** (0.0013) (0.0014) 0.471 0.608 (0.64) -0.65 -0.332 (0.46) European Union 0.408 (0.54) OECD 0.392 (0.62) Latitude 0.309 (1.25) Supervision Reform -0.00381 (0.011) Financial Crisis Impact 0.197 (0.48) Law: Common Law: Civil 1.165** (0.51) Law: French 0.979* (0.52) Law: German & Scandinavian 2.624*** (0.9) Nr. Of observations: 88; Continental dummies: Europe, European Union, OECD, Latitude ; Scale variable: population, gdp per capita Standard errors in parentheses; * significant at 10%; ** significant at 5%; *** significant at 1 % 33 Table 6 - CHOICE OF THE SUPERVISORY REGIMES – Alternative specifications DEPENDENT VARIABLE FSU FSU TWO FSU BINARY FSU THREE CBFA Index -0.689** -1.322*** -1.501** -0.513* (0.3) (0.38) (0.62) (0.29) 0.766*** 0.718** 1.212*** 1.037*** (0.26) (0.28) (0.45) (0.29) -0.00264** -0.00297 -0.00162 -0.00145 (0.0013) (0.0035) (0.0047) (0.0022) 0.471 0.675 -0.654 0.209 (0.64) (0.73) (1.18) (0.71) 1.165** 0.843 0.265 1.512*** (0.51) (0.59) (0.83) (0.57) Good Political Governance Population Law: Common Law: Civil Constant 0.117 (1.2) Nr. Of observations: 88; Standard errors in parentheses; * significant at 10%; ** significant at 5%; *** significant at 1 % 34 Table 7 - CHOICE OF CENTRAL BANK INVOLVEMENT IN SUPERVISION Ordered Logit Estimation DEPENDENT VARIABLE: CBFA INDEX (a) (b) (c) (d) (e) (f) FSU Index (g) - -0.515*** -0.498*** -0.540*** -0.549*** -0.516*** -0.511*** 0.478*** (0.13) (0.13) (0.13) (0.14) (0.13) (0.13) (0.13) 0.0651 0.109 0.012 -0.133 0.0199 0.027 -0.0506 (0.29) (0.32) (0.3) (0.34) (0.3) (0.3) (0.31) Good Political Governance Population Per -0.00132 -0.00134 -0.00176 -0.00152 -0.00121 -0.00159 0.00172 (0.0012) (0.0012) (0.0013) (0.0012) (0.0012) (0.0012) (0.0013) capita GDP -0.00837 (0.013) Markets vs Banks 0.633 (0.55) Financial Markets Capitalization 0.0299 (0.024) Europe 0.274 (0.47) Supervision Reform 0.0198 (0.014) Law: Common 0.831 (0.62) Law: Civil -0.165 (0.53) Nr. Of observations: 88; Continental dummies: Europe ; Scale variable: population, gdp per capita Standard errors in parentheses; * significant at 10%; ** significant at 5%; *** significant at 1 % 35 Table 8 - CHOICE OF SUPERVISION UNIFICATION AND CENTRAL BANK ROLE Ordered Logit Estimation DEPENDENT VARIABLE: SFU INDEX CBFA Index -0.699** -0.674** -1.157*** -0.690** (0.3) (0.3) (0.34) (0.3) Central Bank Independence -0.432 -0.0796 (1.41) (1.39) Central Bank Age 0.00306 0.00431 (0.0044) (0.0045) Central Bank Age, Respect to other Supervisory Institutions 0.00426 0.00402 (0.0044) (0.0044) Central Bank Age, Respect to the Country -2.6E-05 0.000134 (0.00079) (0.00085) Good Political Governance Population 0.810*** 0.848*** 0.671** 0.711** 0.722** 0.807** 0.763*** 0.852*** (0.3) (0.3) (0.29) (0.29) (0.33) (0.33) (0.27) (0.27) - - - - - - - - 0.00267** 0.00239* 0.00270** 0.00248* 0.00277** 0.00233* 0.00264** 0.00236* (0.0013) (0.0014) (0.0013) (0.0014) (0.0013) (0.0014) (0.0013) (0.0014) 0.344 0.267 0.448 0.273 0.612 0.348 0.473 0.285 (0.77) (0.75) (0.64) (0.63) (0.67) (0.65) (0.64) (0.63) 1.138** 1.198** 1.069** 1.080** 1.145** 1.188** 1.163** 1.211** (0.52) (0.52) (0.53) (0.55) (0.55) (0.51) (0.51) Law: Common Law: Civil Nr. Of observations: 88; Standard errors in parentheses; * significant at 10%; ** significant at 5%; *** significant at 1 % 36
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