Communist Socialization and Post-Communist Economic and Political Attitudes Grigore Pop-Eleches Princeton University [email protected] Joshua A. Tucker New York University [email protected] April, 2012 Abstract: In post-communist countries it is now widely held that transition did *not* usher in a "blank slate", but rather that communist-era legacies continue to play an important role in politics in post-communist countries. However, most attempts to demonstrate such legacy effects tend to be ad hoc and specific to individual studies. In our paper, we lay out an easily replicable method that interacts country-specific histories with the various types of communism (e.g., reformist, Stalinist, neo-Stalinist, etc.) that were in place in when individuals were in school (ages 6-17) and then throughout the rest of their adult lives. This method allows us to conduct cross-national comparisons of the effects of communist era socialization on political attitudes in postcommunist countries. We then test the effects of this communist era socialization on attitudes towards democracy and capitalism. Paper prepared for presentation at the Center for the Study of Democratic Politics, Princeton University, May 9, 2012. A previous version of this paper was presented at the conference on “Beyond political socialization: New approaches in age, period, cohort analysis” at Nuffield College, Oxford University, March 16-17 2012. All statistical analysis conducted using Stata 11. I. Introduction Does the experience of living through communism affect the political attitudes and behavior of citizens in post-communist countries, and if so, how would we know if this was the case? Although intuitively we would expect the answer to the first question to be affirmative, the second question raises a number of more difficult follow-up questions: How do we conceive of more or less communist exposure? How do we differentiate exposure to Stalinism from exposure to perestroika? Despite a few recent contributions (Neundorf 2010 and Pop-Eleches and Tucker 2011, 2012), the topic remains largely underexplored. Nevertheless, as more and more studies of post-communist politics reject the tabula rasa approach to post-communism and point to the importance of taking account of what was left behind by communism (Bunce 1999; Kitschelt et al. 1999; Grymala-Busse 2002, 2006; Ekiert and Hanson 2003; Tucker 2006; Wittenberg 2006; Pop-Eleches 2007), it becomes increasingly important that we be able to account for the role of communist legacies in affecting political attitudes and behavior as well. With this larger goal as motivation, in this manuscript we investigate the more tractable question of the effect of individual exposure to communism on support for democracy and capitalism. Communism represented perhaps the most systematic challenge in human history to both of these approaches to the organization of politics and the economy, respectfully. In Section 3, we lay out two general ways of thinking about how exposure to communism might therefore affect attitudes towards democracy and capitalism: indoctrination, whereby more exposure to communism would lead to more opposition to democracy and capitalism, and resistance, whereby more exposure to communism would lead to more support for democracy and capitalism. A priori, we are inclined to find the former of these more intuitively plausible, but we want to explicitly acknowledge the latter as an alternative. 1 To test either of these hypotheses, however, we need a way to measure “exposure” to communism, and for this we need a theory of what exposure actually matters. We suggest two theoretical arguments are particularly germane. First, it may be the case that exposure to communism may simply be a cumulative experience: the longer one lives under communism, the more “exposure” one has to the communism stimuli (Pop-Eleches and Tucker 2011, 2012). Thus any effect that we posit is due to living under communism rule ought to be stronger in individuals who lived more years under communist rule. Alternatively, socialization theory (Cambell et al.1960; Greenstein 1965; Langton and Jennings 1968; Jennings and Markus 1984) suggests that citizens pick up many of their political values and attitudes at a relatively young age as they are entering adulthood. So from this vantage point exposure to communism ought not to be measured in terms of years spent living under communism, but rather in terms of whether one came of age politically under communism. It is also worth noting that communism was clearly not a monolithic experience: we might very well expect the effect of being socialized under a hardline Stalinist communist regime to be different from being socialized under a perestroika-era reformist regime. So we will want to think of an individual’s cumulative and socialization exposure to communism not just to a communist regime in toto, but also to different types of communist regimes (which will vary both cross-nationally and within countries over time). We proceed as follows. In Section 2, we present our cohort periodization of the communist experience. In Section 3, we then elaborate on our theoretical expectations for how communist era exposure ought to affect attitudes towards democracy and the market. In Section 4, we present our data from the Post-Communist Publics (PCP) surveys and explain our 2 econometric techniques – including our identification strategies – in more detail before presenting results in Section 5. We offer some concluding observations in Section 6. 2. Cross-national Political Cohorts of Communism As noted previously, “communism” was not a monolithic experience across countries and over time. To put this most starkly, we might expect that someone who came of political age in Moscow under Stalinism in the early 1950s to have been socialized into somewhat different political preferences than someone who came of age under Gorbachev’s perestroika. With this in mind, Table 1 breaks down the communist experience into five subcategories that represent different “types” of communist experiences. As with any attempt at classification, we face a trade-off between level of detail, comparability, and parsimony. Thus we do not mean to claim that Stalinism in Albania in the 1980s was exactly the same thing as Stalinism in Romania in the early 1950s, but at the same time we hope that the classification scheme represents a useful first step in identifying different types of communist-era experiences.1 -- INSERT TABLE 1 ABOUT HERE -- Our five-fold classification scheme works as follows.2 First, we consider the initial years in which countries were in the process of installing communist systems of government. The next category is the Stalinist period, essentially the high-water mark of communist orthodoxy and repression. With the exception of Albania, the communist countries then all moved beyond 1 Much to our surprise we have not been able to find a comparable categorization scheme in earlier work and would greatly appreciate any references to similar endeavors by other scholars, especially potentially scholars outside of the political science field of whom we might not be aware. 2 We thank Andrew Janos for comments and suggestions regarding this classification scheme. 3 Stalinism, and we break down these “post-Stalinist experiences” into three categories. “PostStalinist Hardline” refers to regimes that moved beyond Stalinism, but essentially still pursued hardline policies (e.g., low dissent tolerance, an active repressive state apparatus but without widespread terror, active security services, etc.). “Post-Totalitarianism” builds on Linz and Stepan (1996), and refers communist regimes where the communist monopoly on power was still in place, but true believers in the ideology were few are far between, with most party members now associating with the party for careerist as opposed to ideological reasons. Post-Totalitarian regimes are also known for the tacit trade-off of political power for economic security; limited pluralism was tolerated so long as the state was not directly targeted. Finally, Reformist communism refers to periods like the Prague Spring, Gorbachev’s perestroika, Poland’s various flirtations with greater political openness and independent trade unions like Solidarity, etc. Of course, in addition to the five periods identified with communism in Table 1, we can also add two additional time periods: pre-communism and post-communism. Thus, for our older respondents from East-Central Europe, we can also calculate how many years they lived under pre-communist rule and if they were educated under a pre-communist system. Similarly, some of our younger respondents will have come of age in the post-communist era, and most of our respondents will have lived some portion of their lives under post-communism.3 3. Communism, the Market, and Democracy Our overarching theoretical goal is to better understand variation how exposure to communism affects attitudes towards democracy and the market. More specifically, we are interested in exploring the variation in the extent to which post-communist citizens prefer democracy to other forms of government (Almond and Verba 1965; Bratton et al. 2008; Dalton 3 The exceptions are citizens of Soviet republics interviewed in 1990. 4 2009; Evans and Whitefield 2009; Kitschelt 1992; Przeworski 1991; Rose et al. 1998) 4 and whether citizens prefer a market based economy (“capitalism”) or not (Duch 1993; Earle and Gehlbach 2003; Fidrmuc 2000; Hayo 2004; Kitschelt 1992; Przeworski 1991).5 We expect exposure to communism to affect attitudes towards democracy and the market because communism arguably represented the most systematic and long-lived challenge to the economic and political model of Western liberalism. Politically, communist regimes were either de jure or at least de facto one-party regimes,6 led by a Marxist-Leninist political party whose organization was closely intertwined – and often fused – with the state apparatus. While the role and nature of ideology varied across both time and space among the countries of the Soviet bloc, the efforts to reshape individuals and society along ideological lines, and the central role of the Party in these efforts, were much more prominent in communist regimes than in the noncommunist world (democratic and authoritarian alike). Furthermore, there was much greater penetration of all levels of society by communist regimes compared to other authoritarian regimes. Even beyond the infamous mass “reeducation” campaigns and purges of Stalinism, the deep penetration of society by extensive networks of secret police agents and informers led to an unprecedented degree of state control over the daily lives (and thoughts) of individuals.7 4 For more on preferences for democracy, see as well Almond and Verba (1989); Evans and Whitefield (1993);Gibson et al. (1992); Graham and Sukhtankar (2004); Lagos (2001), and Sil and Chen (2004). Note as well the difference between a preference for democracy (as opposed to other political systems) as opposed to satisfaction with the way democracy is functioning in one’s country. As many an Occupy Wall Street protester will confirm, one can very well prefer democracy to other forms of rule while at the same time be dissatisfied with the quality or performance of democracy in one’s country at the present. We consider the former to be more of a fundamental preference, while the latter is more of an evaluation (see Pop-Eleches and Tucker, nd, Chapter 2, for much more details in this regard). See, for example, Neundorf (2010), for a study of the effect of communist legacies on satisfaction with democracy. 5 For more on attitudes towards particular aspects of market-based economies, see McCarty et al. 2006; Kitschelt 1992; Linz and Stepan 1996. 6 A few countries, like East Germany and Poland nominally allowed the existence of multiple parties but such parties were expected – and very consistently fulfilled the expectations – to toe the official party line. 7 Of course the aggressiveness and effectiveness of such efforts varied widely across time, space and sector (Jowitt 1992) – arguably peaking during the Great Terror of the 1930s in the Soviet Union and in the first post-war decade in Eastern Europe – and while we will analyze the implications of such intra-regional variation throughout the book, 5 Economically, communist countries were set apart from the non-communist world by the central role of the state in the economy. While extensive state intervention in the economy (including in some cases prominent roles for state-owned enterprises in many key sectors) also featured prominently in some West European democracies and in the import-substituting industrialization (ISI) models prevalent in many developing countries until the early 1980s, Communist countries nevertheless stood out in their systematic suppression of private enterprise and in their heavy reliance on central planning, which produced a very different economic logic and a series of typically communist pathologies (Kornai 1992). Again, important variations in the scope and nature of the state’s economic control existed within the Soviet bloc,8 and in the 1980s there were significant differences in the extent to which communist governments embraced Gorbachev’s limited economic reform efforts. But despite such differences, as late as 1989 the share of the private sector in overall economic output varied surprisingly little in most of communist Eastern Europe and Eurasia, largely ranging from about 5% in most Soviet Republics, Czechoslovakia and Albania to 15% in most of the Yugoslav Republics9 (EBRD 2008). In addition, true to its ideological aspirations of promoting social and political equality among its citizens, communist regimes left behind more equal societies and more expansive welfare states than their non-communist counterparts. Thus to the extent that any given individual chose to adapt the political and economic perspective of the communist regimes that ruled in East-Center Europe and the former Soviet Union, we would expect her to be opposed to democracy and the market; this much certainly in for the purpose of the present discussion what matters is that (with the partial exception of the late Gorbachev years) communist regimes never abandoned this basic model of societal control. 8 The most prominent outlier was Yugoslavia’s “socialist self-management,” where enterprises were technically owned and controlled by workers’ councils (albeit with a great degree of interference from the Party). 9 The only partial outlier was Poland, where the private sector in 1989 accounted for 30% of the economy, largely because of the partial failure of large-scale collectivization of agriculture. 6 not controvertible. So if we adopt the assumption that greater exposure to communism – all else being equal – ought to lead individuals to be more likely to express the perspective of the communist regimes, then we would expect that the more exposed an individual was to communism (in any of the various ways we might think about “exposure” as discussed in the previous section), the more likely he or she would be to oppose democracy or the market. Two issues must be addressed, however, that will complicate this initially very parsimonious hypothesis. The first is that communism is not monolithic. So if the basis for our empirical predictions rests in the idea that more of an exposure to communism will lead one to adapt views that are more in line those propagated by communist regimes (i.e., anti-democracy and anti-market), we might expect this effect to vary based on the – for lack of a better word – “intensity” of the communist system to which one is being exposed. In this respect, we propose the following loose rankings in order of “intensity”: Stalinist > post-Stalinist hardliners > posttotalitarian communism > reform communism. Therefore, we would expect the evidence in support of basic hypothesis – that exposure to communism leads one to be anti-market and antidemocracy – to be strongest when we consider exposure to communism in Stalinist or postStalinist hardline regime and weakest when we consider exposure to reform communism. To give an example, if we are testing the socialization approach to communist exposure, we would expect to find people who were socialized under Stalinist regimes to be more anti-market and anti-democracy than those who were socialized reformist regimes. Importantly, our method allows us to test exactly this contention. Our second complication concerns not the type of communism, but the actual effect of communism on attitudes. Heretofore, we have considered the effect of exposure to communism to be mainly an indoctrinating or imprinting one: more exposure to communism leads to 7 attitudes that are in greater congruence with the ideals of communism. However, it may be the case that we have this completely wrong: perhaps more exposure to communism actually leads to more resistance to the ideas of communism, precisely because life under communism could be so brutal and repressive. This type of perspective might explain someone who came of age under Gorbachev’s perestroika thinking that perhaps a return to autocracy might be appealing – after all, perestroika-era communism was not really all that repressive – whereas someone who lived through Stalinist era purges might be convinced that democracy is sacrosanct because it is the only reliable bulwark against totalitarian terrors. Thus, it is possible that the more intuitive predictions, with which we began this section, could actually be reversed. Table 2, therefore, concisely summarizes our various expectations. - INSERT TABLE 2 ABOUT HERE -- 4. Data and Methods To test these hypotheses we use data from the Post-Communist Publics (PCP) Study. The PCP study consists of two waves of surveys (1990-2 and 1998-2001) and was administered in twelve ex-communist countries for the first wave and in fourteen ex-communist countries plus West Germany for the second wave. All told, therefore, we have surveys that take place in seven different years across 14 countries (see Table A1 for full coverage details). In addition to the individual-level survey data, we collected data on economic performance and democracy scores for each of the 26 country-years for which we had survey data. We then merged these indicators with the individual-level survey data to construct a multi-level data set. 4.2 Indicators 4.2.1 Dependent variables 8 To test the impact of socialization on a broad range of outcomes that could be reasonably affected by the experience of communism, we use two indices, one measuring support for democracy and the other for capitalism. Our democratic support index is composed of five questions that asked about the desirability of elections for choosing authorities, the need for political parties and parliament, whether democracy would solve or worsen the country’s problems and the relative desirability of one-party and multi-party systems for the country. Our pro-capitalism variable, in contrast, focuses on the extent to which post-communist citizens embraced or rejected the nascent capitalist systems that replaced the socialist command economies after 1989. The index captures the extent to which respondents continue to associate capitalism with inequality, selfishness, repression, and corruption (as it had been portrayed for decades by communist propaganda) or whether the embraced it as the best economic system for their country, and as being capable of helping solve their country’s problems. Both variables were defined in such a way that higher values indicate greater rejection of the communist system and its components. Therefore, while the magnitude of the regression coefficients for the socialization indicators is not comparable across models (because the DVs are not standardized) the sign of the coefficients is consistent across models: thus, for the communist socialization variables, positive effects indicate a rejection of the communist model and suggest that communist socialization primarily triggered resistance, whereas negative effects indicate a continued embrace of communist values and therefore indicate successful imprinting. For details about the wording of the survey questions, see Table A2 in the electronic appendix. 4.2.2 Independent variables 9 Our primary independent variables are the various measures of exposure to communism that have been described in greater detail in the previous two sections; we incorporate these measures into our analyses sequentially. Thus he first set of regressions in Table 3 simply captures the number of years a respondent has spent living under communism after the age of 6. These tests will provide the baseline assessment of the cumulative socialization effect of communism. In Table 4, we disaggregate the communism experience into our four different types of communism (Stalinist, Neo-Stalinist, Post-Totalitarian, and Reform), and our variables accordingly measure the number of years spent living under each type of communism. In Table 5, we disaggregate exposure to communism into early (# of years between age 6-17 living under communist rule) and adult (# of years aged 18 and up spent living under communism) exposure. In Table 6, we then apply the early/late disaggregation to our “types” of communism. Thus, we include indicators of the number of years between the ages of 6-17 under Stalinism, neoStalinism, post-totalitarianism and reformist communism, and of the number of years after the age of 17 spent by respondents in the same set of regime types. In addition to the socialization indicators, our regressions include a number of basic demographic controls: education levels, religious denomination, population size bands of the respondent's town, and sex. Finally, in order to control for the potential effect of economic and political conditions on economic and political preferences, the regressions control for inflation, unemployment and Freedom House democracy levels in the year preceding the survey and for the average GDP change in the two years prior to the survey. 4.3 Statistical methods 10 For the statistical tests presented in this chapter we use ordinary least squares (OLS) regressions with robust standard errors clustered at the country-year level. Moreover, all the regressions use equilibrated survey weights, which combine any within-country survey weights with a cross-country component that adjusts for sample size differences across countries. While in future iterations of the paper we will re-run the models using hierarchical linear models to account for the multi-level nature of the data, we do not expect this to affect the results significantly, since the main IVs vary at the individual level. 4.4 Identification Strategy The challenge to assessing the effect of exposure to communism on any attitude in the post-communist era, is disentangling these socialization effects from other issues, especially age but also the timing of the survey. For example, if we were to simply find that the citizens in Russia who had lived the longest under the communist regime were the most opposed to democracy, we would be unable to distinguish whether this evidence provided support for our proposed cumulative socialization hypothesis or if it simply reflected the fact that older Russians at the time of our survey were more opposed to democracy for reasons having nothing to do with their past experiences of living under communism. This problem is known in the literature as the “Age-Period-Cohort” effect, whereby the challenge is to identify the “cohort” effect in in a way which just does not conflate this effect with simply being of a certain age (“age”) at the time of the survey (“period”) (Glenn 2005; Neundorf 2010). To deal with this concern, we our regressions include not only the socialization indicators (described above) but also the age of the respondent (in years) and the year of the survey (currently a single continuous measure, not year dummies). We therefore get identification of the 11 cohort effect – our substantive interest – both from within-country temporal variation and from cross-country differences in when communism (or different regime subtypes) started and ended. By pooling across countries, we also technically have multiple (7) survey years, even though we only have two for each country. All coefficients on cohorts therefore are estimates controlling for both age and the year of the survey. Moreover, these are not country-cohort estimates (e.g., what is the effect of living through 10 years of Polish communism) but rather general estimates of the effects of living through communism that draw upon the experiences of people from all 14 of the countries in our data set. Estimating the model in this way is possible precisely because we have data from multiple countries that had different communist regime types and durations, and because we have surveys that were conducted in multiple years. Two caveats about this approach are worth noting. First, there is obviously much greater variation in the relationship between age and cohort when we estimate the effect of living through types of communism (see Table 4&6) than when we estimate the effect of simply living under communist rule (Table 3). Different countries do have different experiences with different types of communism, and thus a 70 year-old in Slovenia will have spent a very different number of years living under Stalinist and neo-Stalinist regimes than a 70 year old in East Germany or a 70 year old in Russia. Years simply living under communism are much more highly correlated with age across the sample, although the two are still not perfectly correlated (.90). Second, and perhaps most importantly, it is important to note that when we turn to simply the number of years spent living under communism, there is a near perfect correlation between age and years spent living under communism among the countries in our sample that were part of the Soviet Union before World War II (Ukraine, Russia, and Belarus), as all three countries fell 12 under communist rule at the same time.10 This also suggests that a significant part of our estimate for years spent living under communism will come from the distinction between the former Soviet republics and the Eastern European countries in the sample. While it is of course the case that the number of years that older citizens were exposed to communism is an important factor distinguishing the interwar Soviet republics from the other countries in our sample, it is certainly not the only factor. Thus we need to be aware that any “years of communism” effect we identify (even while controlling for age) might simply be picking up other distinctions between the interwar Soviet republics and the rest of our cases. To address these concerns, we take the following steps. First, we initially estimate all of our models using all of the data available. Next we then re-estimate the model with a control for whether or not the respondent is living in an interwar Soviet republic. Finally, we estimate the model a third time dropping all of the cases from the interwar Soviet republics.11 Running the model with and without the interwar Soviet dummy variable gives us a sense of how much of any cohort effect we identify in the original model may be due to unobservable factors distinguishing the interwar Soviet countries. Running the model a third time dropping the interwar Soviet republics assures us that any results we find at that point are in no way a function of the distinction between the interwar Soviet republics and our other cases. Doing so of course then leaves us with less variation in age and communist exposure to exploit than if we included all of the data in a single regression. 10 The only reason that is not a perfect correlation is because we have two different years of surveys for each country. 11 In addition, in Table 3 we include a specification with interaction terms between the interwar Soviet dummy and communist socialization but since we find no effect that this interaction is significant, we do not include this specification in subsequent tables. 13 5. Empirical Results In line with our earlier discussion, the statistical results in Tables 3-6 present the effects of communist exposures on democratic and economic values using different degrees of disaggregation of communist exposure. Table 3 here The first set of regressions in Table 3 simply captures the number of years past the age of six that a respondent has spent under communism. The baseline specification in model 1suggests that even controlling for the individual and country-level controls described in the previous section, including age and survey year, individuals with a longer exposure to communism were less supportive of democratic ideals. This effect was not only highly statistically significant but fairly large in substantive terms: thus, an additional 30 years lived under communism were associated with an expected reduction of half a standard deviation in the democratic support index. However, model 2 indicates that once we control for whether a respondent lived in one of the interwar Soviet republics, the magnitude of the effect is reduced by more than half, though it is still statistically significant. We observe a similar effect when we restrict the analysis to the East European countries that only experienced 45 years of communism. However, according to model 4, there is no clear evidence that the effects of communist exposure differ significantly between East European countries and interwar Soviet republics. Thus, while the effect was slightly larger in the latter cases, the difference was not statistically significant and quite modest in substantive terms. Taken together these findings suggest that while democratic support was lower in the countries with longer communist histories, the actual effect of communist exposure at the 14 individual level was not different and – more importantly – differences in individual communist exposure do not seem to explain the overall differences in democratic values across the two types of countries. The obvious follow-up question is what other aspects of the political dynamics of inter-war Soviet republics are responsible for this democratic values deficit. One possibility, which we do not explore in greater detail here, is that pre-WWII communism shaped a variety of formal and informal institutions to a greater/different extent than the post-war communism that all countries in our sample experienced.12 Alternatively, it is possible that what matters is not just the length of communist exposure but also the particular variety of communism in which individuals were socialized. This possibility is addressed by our analysis of different subtypes of communism in Tables 4 and 6 but given the modest interaction effect in model 4 it is unlikely to account for the full negative impact of the pre-WWII communism effect. Models 5-8 repeat the same set of model specifications for attitudes towards capitalism. The results are quite similar to those in the first four models, in the sense that both the size and the statistical significance of the communist exposure effect are significantly reduced once we control for interwar Soviet republic status, and that once again this difference does not seem to be due to a differential impact of individual socialization in pre vs. post-WWII communist regimes. However, the magnitude of the communist exposure effect was smaller in the case of attitudes towards capitalism (a 30-year difference in communist exposure only corresponded to a .3 standard deviations change in the pro-capitalism index) and as a result the effect was no longer statistically significant in models 6-8. While a more detailed discussion of the other results in Table 3 is omitted due to space constraints, it is worth noting that the effects of age and year differ significantly across the two sets of attitudes. Thus, the positive and statistically significant effects of age in models 1-4 12 This hypothesis is addressed in greater detail in our other work (Pop-Eleches and Tucker 2011). 15 suggest that once we control of communist socialization older respondents were actually more democratic, but the direction of the age effect is reversed in models 5-8 (albeit falling short of statistical significance) a finding that is in line with the disproportionate costs borne by elderly individuals during the post-communist economic transition to capitalism. The comparison of temporal trends also reveals important differences: thus, the positive and at least partially statistically significant positive effect of survey year in models 2-4 suggests that democratic commitments solidified over the course of the first post-communist decade but the fact that the effect was not present in model 1 suggests that this trend was limited to Eastern Europe. By contrast, the large and statistically significant negative effects of year in models 5,6, and 8 confirm the much more negative experience with post-communist economic liberalization.13 In the tests in Table 4 we relax the rather strong assumption of communism as a uniform “treatment” that shapes democratic and economic preferences across a broad set of countries and time periods. We do so by accounting for the number of years past age 6 that a given respondent spent in any of the four subtypes of communist regimes, whose temporal and geographic distribution is summarized in Table 1. Table 4 here The results in Table 4 confirm the analytical utility of differentiating between sub-types of communist regimes. With the partial exception of a weaker effect of neo-Stalinism,14 the differences between communist variants are not particularly large in model 1, where longer 13 The larger size of the effect in model 5 and the lack of an effect in model 7 suggests that this effect was driven by the inter-war Soviet republics, which is not surprising given the greater economic toll of the transition on these countries (see e.g. Hellman 1998). 14 The effect of neo-stalinist socialization was just over half the size of its milder post-totalitarian counterpart but the difference was at best marginally significant (at .11 one-tailed). 16 exposures to all kinds of communist socialization appear to undermine democratic ideals at roughly the same rate, which, not surprisingly, is quite similar to the overall magnitude of the communist exposure effect in model 1 of Table 3. However, the differences are more pronounced in models 2 and 3, where we control for inter-war Soviet membership. Given that the original Soviet republics had a longer exposure to Stalinism and then post-totalitarian communism (under Brezhnev) than their East European counterparts, it is not surprising that the controlling for pre-war communism has a greater impact on the effects of those particular types of communist regimes. As a result, both models 2 and 3 show that neo-Stalinist and reform communist are still significant negative predictors of democratic attitudes but the effect of Stalinist and post-totalitarian regime exposure is virtually erased. Moreover, at least some of the differences between the subtypes is statistically significant.15 Models 4-6 reveal similar patterns with respect to economic preferences but once again the results are weaker in both statistical and substantive significance than for democratic preferences. Thus, neo-Stalinist regimes have the weakest effect in model 4 but once we control for interwar Soviet membership, the effect is reversed and neo-Stalinist exposure is the only type that achieves at least marginal statistical significance in model 6 (which restricts the analysis to the East European cases.) Also, it is worth noting that none of the differences between the coefficients for regime subtypes are significant in models 2 and 3, which suggests that the differences across regimes had a greater impact on political than on economic preferences. In Table 5 we depart from the simple baseline models in Table 3 along a second dimension: the distinction between early and adult socialization but for now we once again lump all regime subtypes together. 15 Thus, the difference between Stalinism and neo-Stalinism is significant at .05 two-tailed in model 2 and at .1 onetailed in model 3. 17 Table 5 here The first finding worth noting is that according to model 1, the distinction between early and adult socialization is analytically useful: whereas the effects of early communist exposure are highly statistically significant (at .001) and substantively large, adult communist exposure only has about half the impact and falls short of achieving statistical significance.16 Moreover, the difference between early and late socialization is not affected by whether we control for interwar Soviet membership or whether we restrict our analysis to East European countries in models 2 and 3. Taken together, these results suggest that at least for the first decade of the transition, communist socialization efforts were much more effective at shaping (anti)democratic values when directed at children and adolescents than at adults. Once again, the statistical significance and the magnitude of the effect was weaker for economic attitudes but the overall pattern was similar: early socialization had a stronger impact than adult socialization and these differences persisted even once we control for interwar communist membership. However, it should be noted that the differences between early and adult socialization effects were substantively smaller in models 4-6 and no longer statistically significant. In the statistical models in Table 6 we disaggregate the communist socialization process along both dimensions simultaneously: as a result our regressions include eight socialization measures (early and adult socialization for each of the four subtypes of communism.) Table 6 here In broad terms, the regressions in Table 6 confirm the main trends we identified when looking at the two disaggregation dimensions separately in Tables 4 and 5: that early socialization has a stronger anti-democratic and (to a somewhat lesser extent) anti-capitalist effect than adult 16 The difference between the coefficients was significant at .09 two tailed in model 2. 18 socialization, and that the differences across regime subtypes are more pronounced once we account for the different country-level dynamics of interwar Soviet republics. However, the results in Table 6 also highlight a few interesting nuances that were not as clear in the earlier tests. First, by differentiating between communist subtypes, the contrast between early and adult socialization becomes clearer for both democratic and economic attitudes, in the sense that both the magnitude and the statistical difference between the early and adult exposure regression coefficients is larger for most regime subtypes than the combined difference in the corresponding models in Table 5.17 In part this difference is driven by the fact that in the models that control for interwar Soviet membership, the effects of communist adult socialization are actually largely positive (though they fall short of achieving statistical significance), which suggests that adult socialization under communism may have actually had the unintended effected of undoing some of the early socialization achievements of the communist education systems. Second, while the results in model 2 confirm the effectiveness of neo-Stalinist socialization and to a lesser extent of reform communist socialization, it shows that these effects were limited to early socialization but had virtually no effect on democratic values for respondents who experienced these regimes as adults. Even more interestingly, the null effect in model 2 of Table 4 about the impact of Stalinist socialization receives a more nuanced interpretation in model 2 of Table 6. Thus, the non-finding appears to be the result of two countervailing effects: a negative and marginally significant (at .06 two-tailed) of early Stalinist socialization and an equally sized positive "pro-democratic" effect of adult Stalinist life experience. Model 5 reveals a similar but slightly weaker pattern in the case of pro-capitalist attitudes. Both paint a picture of a world where the overbearing Stalinist message is easily 17 The only exception is post-totalitarianism in model 3 and to a lesser extent in model 2. 19 swallowed by children but rejected by adults, an idea not inconsistent of how we often think of life under totalitarian regimes. Finally, the fairly large and statistically significant effects of early reform communist socialization in models 4-6 in Table 6 show that reform communism was quite effective in inculcating anti-capitalist values at an early age, though once again its persuasive powers were much weaker for adults. Nonetheless these patterns, which hold up even once we control for interwar Soviet membership, qualify the modest results in the corresponding models in Table 4. 6. Conclusions Two decades after the collapse of communism, it is clear that post-communism did not simply emerge out of a tabula rasa: the past mattered. Establishing exactly how the past mattered – and doing so in a systematic manner that allows for the accumulation of scientific knowledge across multiple research endeavors – is of course much trickier. In this manuscript, we have sought to move this endeavor forward by presenting one pathway by which the communist era past might affect post-communist attitudes, which is through the effect of actually living through communism. Within this framework, we have presented two theoretical arguments: communism might have imprinted attitudes on its citizens or it might have bred resistance among its citizens. Furthermore, we have explored potential variation across both imprinting and resistance due to the time of one’s life in which one was exposed to communism, as well as variation in the “types” of communism to which one might be exposed. We have also illustrated a method for testing the types of hypotheses, which is to use historically defined cohorts that vary cross-nationally while controlling for the age of respondents and the timing of surveys in order to solve the identification problems that can plague age-period-cohort analysis. 20 In order to put some tractability on our general topic, we specifically examined the effect of exposure to communism on attitudes towards democracy and the market. Democracy and capitalism represent perhaps communism’s two most popular targets, and thus the direction of the imprinting and resistance hypotheses are very easily identifiable. On the basis of our empirical analysis, we have three main findings. First, with minor exceptions, communism appears to have more of an imprinting effect than a resistance effect. The one exception in this regard is that living through Stalinism as an adult – and perhaps witnessing its horrors first-hand – did breed a “resistance” effect in terms of more pro-democratic attitudes. Otherwise, though, greater communist exposure – even after controlling for age – generally meant more opposition to democracy and the market. Second, exposure to communism seems to have a more systematic effect on imprinting anti-democratic sentiments than anti-market sentiments. Indeed, an important determinant of anti-capitalism sentiment turned out to be the timing of the survey, suggesting that it is actually the post-communist experience that was having more of an effect in turning citizens against capitalism than the communist experience. Third, while there were a few significant differences in the effects of living through particular types of communism, which confirm the analytical utility of distinguishing between particular regime subtypes. However, these differences were largely confined to early socialization, where neo-Stalinist exposure had greater anti-democratic effect than posttotalitarian exposure, while early reform communist exposure was more effective in inculcating anti-capitalist attitudes. Moreover, we still need clearer theoretical explanations for these differential patterns, which for now raise more questions than they answer. 21 Fourth, in general it appears that early socialization (exposure during ages 6-17) had systematically more important effect on driving down support for democracy (and in some cases capitalism) than adult exposure. This is an especially interesting finding in line with other work suggesting the importance of political socialization during one’s early years. (Campbell et al. 1960; Bartels and Jackman 2012). Finally, there appears to be a large imprinting effect (i.e. opposition to democracy and capitalism) from living in an inter-war Soviet republic that goes significantly beyond the simple fact that the people from these three countries (Belarus, Ukraine, and Russia) were exposed to more years of communism than their counterparts in the Baltics and Eastern Europe. This finding is especially important for our overall effort to understand the different mechanisms through which communist legacies shape post-communist political behavior: there are clearly legacy effects from the former Soviet Union that are not dependent simply on individuals having been exposed to more years of communism. This final observation suggests a number of possible directions for future research. It is possible that simply “years of exposure to communism” (or different types of communism) is not the best way to capture communist experience. Perhaps the true data generating process is not linear, and instead is some sort of tipping model. Or, alternatively, perhaps there are effects that kick in when no living relative/acquaintance can remember the time before communism. More likely, though, is the possibility that there are other factors that distinguish the former Soviet republics from other post-communist countries in systematic ways: these may include different demographic legacies from communist; different institutional legacies; and different postcommunist experiences/shocks. 22 Table.1. Communist Experience by Year and Country Country Transition to Communism Stalinist PostStalinist Hardline Bulgaria 1945 1946-53 1954-89 1990 Czechoslovakia 1945-47 1948-53 1953-67, 1969-89 1968 East Germany 1945-48 1949-62 1971-89 1963-1970 Hungary 1945-47 1948-53 1957-60 1961-1989 1954-1956 Poland 1945 1946-1956 1980-83 1963-1980, 83-87 1956-62, 1988-89 Romania 1945-47 1948-1964 1971-89 USSR 1918-20 1928-1953 1953-55; 1965-69 Yugoslavia 1945 1946-1948 23 PostTotalitarian Reformist 1965-70 1970-84 1921-27; 1956-64; 1985-1991 1949-90 Table 2: Summary of Arguments Communism as Monolithic Force Type of Exposure Cumulative Socialization Imprinting More years under communism, more anti-market Socialized under communism, more anti-market Resistance More years under communism, more pro-market Socialized under communism, more pro-market Effect of Exposure: Varieties of Communism Type of Exposure Cumulative Effect of Exposure: Socialization More years under Stalinism > postStalinism> postImprinting totalitarian/transition > reform communism: more anti-market, Socialized under Stalinism > postStalinism> posttotalitarian/transition > reform communism: more anti-market, More years under Stalinism > postStalinism> postResistance totalitarian/transition > reform communism: more pro-market, Socialized under Stalinism > postStalinism> posttotalitarian/transition > reform communism: more pro-market, 24 Table 3: Cumulative communist socialization VARIABLES Communist exposure (1) (2) Democ. Democ. support support -.012** (.003) -.005** (.001) .009** (.003) -.003 (.010) -.002 (.016) -.002 (.004) .001 (.020) -.017* (.006) .070* (.031) .284** (.026) .132** (.019) .087** (.015) All 24,912 .055 -.353** (.058) .003* (.001) .016* (.007) -.016 (.012) -.001 (.002) .019 (.017) -.026** (.005) .073* (.027) .283** (.023) .126** (.017) .083** (.014) All 24,912 .076 Communist exposure* Interwar Soviet Rep. Interwar Soviet Rep. Age Year FH democracy GDP chg (2yr) Inflation (log) Unemployment GDP/capita (log) Post-Secondary Education Secondary Education Male Sample Observations R-squared (3) Democ. support (4) Democ. support (5) Procapitalist (6) Procapitalist (7) Procapitalist (8) Procapitalist -.004* (.002) -.004** (.002) -.001 (.001) -.331** (.070) .003* (.001) .016* (.007) -.016 (.012) -.001 (.002) .019 (.017) -.026** (.005) .073* (.027) .282** (.023) .125** (.017) .083** (.014) All 24,912 .076 -.007** (.003) -.002 (.002) -.003 (.002) .002 (.002) -.053** (.015) .000 (.015) .008* (.003) .011 (.028) .011 (.008) -.039 (.027) .047 (.037) .041# (.020) .045** (.012) All 22,778 .120 -.269** (.054) -.002 (.002) -.038* (.015) -.011 (.012) .009** (.002) .025 (.022) .004 (.007) -.037 (.027) .046 (.035) .037# (.019) .043** (.012) All 22,778 .132 -.001 (.002) -.000 (.018) -.048* (.017) .013** (.004) .079** (.020) -.005 (.007) -.021 (.021) .055 (.047) .035 (.024) .039** (.013) EE 16,567 .131 -.002 (.002) .000 (.001) -.272** (.066) -.002 (.002) -.038* (.015) -.011 (.012) .009** (.002) .025 (.022) .004 (.007) -.037 (.027) .046 (.035) .037# (.019) .043** (.011) All 22,778 .132 .003* (.001) .015 (.009) -.016 (.013) -.003 (.003) .013 (.022) -.020** (.006) .064* (.028) .271** (.027) .126** (.019) .087** (.015) EE 18,300 .057 Robust standard errors in parentheses ** p<.01, * p<.05, # p<.1 Note: Also included in regressions but not reported were indicators for locality size, religious affiliation, and dummy variables indicating missing values. 25 Table 4: Cumulative communist socialization (by regime subtypes) Stalinist total exposure Neo-Stalinist total exposure Post-totalitarian total exposure Reform comm. total exposure Interwar Soviet Rep. Age Year FH democracy GDP chg (2yr) Inflation (log) Unemployment GDP/capita (log) Post-Secondary Education Secondary Education Male Sample Observations R-squared (1) Democ support -.010** (.002) -.007* (.003) -.012** (.003) -.010** (.003) (3) Democ support .002 (.005) -.007** (.002) .001 (.003) -.004* (.002) (4) Procapitalist -.007# (.003) -.001 (.002) -.008** (.002) -.005# (.003) .007** (.001) -.009 (.012) .008 (.015) .003 (.005) .019 (.020) -.019** (.006) .087* (.040) .284** (2) Democ support -.001 (.003) -.008** (.002) -.002 (.003) -.006** (.002) -.439** (.068) .003* (.001) .026* (.012) -.030* (.012) -.004 (.004) .008 (.019) -.025** (.005) .060# (.032) .289** (6) Procapitalist -.004 (.005) -.004# (.002) -.001 (.003) -.004 (.002) .000 (.002) -.060** (.015) .013 (.014) .013** (.003) .032 (.030) .008 (.007) -.021 (.027) .044 (5) Procapitalist -.002 (.003) -.002 (.002) -.002 (.002) -.002 (.002) -.274** (.077) -.002 (.002) -.037* (.017) -.011 (.016) .009* (.003) .024 (.025) .004 (.007) -.038 (.029) .046 .002 (.001) .034* (.013) -.040** (.013) -.009# (.005) -.003 (.027) -.019** (.006) .045 (.031) .274** (.025) .134** (.018) .084** (.014) All 24,912 .059 (.024) .128** (.018) .084** (.014) All 24,912 .078 (.027) .124** (.020) .088** (.015) EE 18,300 .062 (.037) .042# (.021) .043** (.012) All 22,778 .124 (.036) .037# (.020) .043** (.011) All 22,778 .132 (.046) .033 (.025) .040** (.013) EE 16,567 .132 -.001 (.002) .007 (.020) -.055** (.018) .010# (.005) .074** (.023) -.005 (.007) -.024 (.020) .056 Robust standard errors in parentheses ** p<.01, * p<.05, # p<.1 Note: Also included in regressions but not reported were indicators for locality size, religious affiliation, and dummy variables indicating missing values. 26 Table 5: Early vs. adult communist socialization Early communist exposure Adult communist exposure Interwar Soviet Rep. Age Year FH democracy GDP chg (2yr) Inflation (log) Unemployment GDP/capita (log) Post-Secondary Education Secondary Education Male Sample Observations R-squared (1) Democ support -.014** (.003) -.008 (.005) (3) Democ support -.007** (.001) .001 (.003) (4) Procapitalist -.008** (.002) -.006# (.004) .005 (.004) .001 (.010) -.002 (.016) -.002 (.004) .001 (.020) -.017* (.006) .070* (.031) .288** (2) Democ support -.008** (.001) .001 (.003) -.356** (.057) -.002 (.003) .021** (.008) -.016 (.012) -.001 (.002) .020 (.017) -.026** (.005) .072* (.027) .288** (6) Procapitalist -.004* (.002) -.002 (.003) .001 (.003) -.052** (.015) .000 (.015) .008* (.003) .011 (.028) .011 (.008) -.039 (.026) .047 (5) Procapitalist -.003# (.002) .001 (.003) -.271** (.054) -.005 (.003) -.036* (.015) -.010 (.012) .009** (.002) .025 (.022) .004 (.007) -.037 (.027) .048 -.002 (.003) .019* (.009) -.016 (.013) -.003 (.003) .013 (.022) -.020** (.006) .064* (.028) .276** (.026) .135** (.019) .086** (.015) All 24,912 .059 (.023) .130** (.016) .083** (.014) All 24,912 .078 (.026) .131** (.018) .086** (.015) EE 18,300 .062 (.037) .042* (.020) .045** (.012) All 22,778 .124 (.035) .039# (.019) .043** (.011) All 22,778 .132 (.047) .037 (.024) .039** (.013) EE 16,567 .132 -.003 (.003) .001 (.018) -.048* (.017) .013** (.004) .079** (.020) -.005 (.007) -.021 (.021) .056 Robust standard errors in parentheses ** p<.01, * p<.05, # p<.1 Note: Also included in regressions but not reported were indicators for locality size, religious affiliation, and dummy variables indicating missing values. 27 Table 6: Early vs. adult socialization by sub-regime types Stalinist early exposure Neo-Stalinist early exposure Post-totalitarian early exposure Reform comm. early exposure Stalinist adult exposure Neo-Stalinist adult exposure Post-totalitarian adult exposure Reform comm. adult exposure Interwar Soviet Rep. Age Year FH democracy GDP chg (2yr) Inflation (log) Unemployment GDP/capita (log) Post-Secondary Education Secondary Education Male Sample Observations R-squared (1) Democ support -.015** (.004) -.007* (.003) -.015** (.005) -.014** (.004) -.003 (.004) (2) Democ support -.006# (.003) -.010** (.003) -.001 (.004) -.007# (.004) .006 (.005) (3) Democ support -.003 (.006) -.010* (.004) .004 (.004) -.007 (.004) .006 (.009) (4) Procapitalist -.010* (.004) .003 (.003) -.010** (.003) -.013** (.004) -.001 (.004) (5) Procapitalist -.006 (.004) .001 (.003) -.002 (.004) -.008# (.004) .004 (.004) (6) Procapitalist -.005 (.006) .000 (.004) -.000 (.004) -.009# (.005) .003 (.007) .000 (.004) -.005 (.005) -.004 (.004) -.000 (.003) .005 (.005) .001 (.003) -.445** (.072) -.003 (.003) .033* (.013) -.030* (.012) -.005 (.004) .009 (.019) -.026** (.005) .060# (.033) .290** (.024) .129** (.018) .084** (.014) All 24,912 .079 -.001 (.003) .007 (.004) .002 (.003) .003 (.003) -.004 (.004) .002 (.004) -.000 (.003) .003 (.003) .002 (.003) -.003 (.003) .040* (.014) -.038** (.013) -.010# (.005) -.004 (.027) -.020** (.006) .046 (.032) .277** (.028) .125** (.020) .087** (.015) EE 18,300 .063 -.004 (.003) -.056** (.015) .015 (.014) .013** (.003) .035 (.029) .007 (.007) -.016 (.026) .049 (.037) .046* (.021) .044** (.011) All 22,778 .126 .003 (.003) .003 (.004) .005 (.004) -.265** (.078) -.007* (.003) -.034# (.017) -.008 (.016) .009** (.003) .028 (.024) .003 (.007) -.033 (.027) .049 (.036) .040# (.020) .043** (.011) All 22,778 .133 .001 (.003) -.003 (.013) .009 (.015) .002 (.006) .021 (.019) -.020** (.007) .089* (.042) .288** (.026) .137** (.019) .085** (.014) All 24,912 .060 -.005# (.003) .008 (.020) -.052* (.018) .011* (.005) .077** (.022) -.006 (.007) -.020 (.019) .060 (.046) .037 (.025) .041** (.013) EE 16,567 .133 Robust standard errors in parentheses ** p<.01, * p<.05, # p<.1 Note: Also included in regressions but not reported were indicators for locality size, religious affiliation, and dummy variables indicating missing values. 28 ELECTRONIC APPENDIX Table A1: Overview of survey countries and years for Post-Communist Publics (PCP) data Country Belarus Bulgaria Czech Rep East Germany Estonia Hungary Latvia Lithuania Poland Romania Russia Slovakia Slovenia Ukraine 1990 1991 X X X X X X X X X X X 1992 1998 1999 2000 2001 X X X X X X X X X X X X X X X 29 Table A2: Question wording for survey items used in the construction of DVs Democratic support index (Cronbach alpha = .60) Pro-capitalist views (Cronbach alpha = .695) Do you think that elections are the best way to choose a government and the authorities of the country or do you not think so? (Yes/No) Looking at things from the point of view of utility, do you think that in order for things to go well we need a parliament? Or are you among those who think we can do without it? Do you think that in democracy the problem in our country (1) will be solved (2) will remain the same (3) will get more serious? Please tell me if you agree or disagree with the following statements: We need political parties if we want democratic development. Which do you think would be better for our country: (1) One-party system (2) Multi-party system? Please tell me which of the words in this list describe best what you think of the capitalist free enterprise economy: V351: Inequality V354: Selfishness V363: Repression V364: Corruption Please tell me whether you agree or disagree with the following statements: V397: The capitalist economy, based on free private initiative, is the best economic system for our country V398: The capitalist economy, based on free private initiative, will enable us to solve the problems that we … (e.g. Hungarians) face 30
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