Communism s Shadow: Historical Legacies and Contemporary Political Attitudes Grigore Pop-Eleches & Joshua A. Tucker

Similar documents
Online Appendix: The Effect of Education on Civic and Political Engagement in Non-Consolidated Democracies: Evidence from Nigeria

Supplemental Results Appendix

Improving democracy in spite of political rhetoric

Cultural vs. Economic Legacies of Empires: Evidence from the Partition of Poland

State Politics & Policy Quarterly. Online Appendix for:

The Determinants of Low-Intensity Intergroup Violence: The Case of Northern Ireland. Online Appendix

APPENDIX TO MILITARY ALLIANCES AND PUBLIC SUPPORT FOR WAR TABLE OF CONTENTS I. YOUGOV SURVEY: QUESTIONS... 3

The impact of low-skilled labor migration boom on education investment in Nepal

Understanding Subjective Well-Being across Countries: Economic, Cultural and Institutional Factors

Supplemental Appendices

Is Corruption Anti Labor?

DPI413 Survey indicators

What does it mean to live in democracy around the world? Simeon Mitropolitski.

Table 1-1. Transparency International Corruption Perceptions Index 2005 and Corruption Perceptions Global Corruption Barometer 2004: Correlations

Online Appendix: Who Gets a Swiss Passport? A Natural Experiment in Immigrant Discrimination

Supplementary Material for Preventing Civil War: How the potential for international intervention can deter conflict onset.

ANNUAL SURVEY REPORT: REGIONAL OVERVIEW

Protests under non-democratic regimes: contingent democrats versus genuine democrats

Technology and the Era of the Mass Army

The EU referendum Vote in Northern Ireland: Implications for our understanding of citizens political views and behaviour

Does Government Ideology affect Personal Happiness? A Test

Political ignorance & policy preference. Eric Crampton University of Canterbury

Religion and Politics: The Ambivalent Majority

Gender Equality and Democracy

Supplementary Materials for

Can Politicians Police Themselves? Natural Experimental Evidence from Brazil s Audit Courts Supplementary Appendix

DPI413 Survey indicators Ingl h e art d an l We l ze l Cu l tura h t eory f o democratization

Approaches to Analysing Politics Variables & graphs

Sierra Leonean perceptions of democracy Findings from Afrobarometer Round 6 survey in Sierra Leone

The Impact of Immigration on Natives Wages: Impact Heterogeneity and Product Market Regulation

Youth, Democracy, and Politics: Hungary

Decentralized Despotism: How Indirect Colonial Rule Undermines Contemporary Democratic Attitudes

WP 2015: 9. Education and electoral participation: Reported versus actual voting behaviour. Ivar Kolstad and Arne Wiig VOTE

SUB Hamburg A/ Thirteenth Edition POWER & CHOICE. An Introduction to Political Science. W. PhiUips Shively. University of Minnesota

Appendix to Sectoral Economies

The transition of corruption: From poverty to honesty

DAILY LIVES AND CORRUPTION: PUBLIC OPINION IN EAST AFRICA

ANNUAL SURVEY REPORT: ARMENIA

Chile s average level of current well-being: Comparative strengths and weaknesses

How s Life in Mexico?

Table A.2 reports the complete set of estimates of equation (1). We distinguish between personal

ELITE AND MASS ATTITUDES ON HOW THE UK AND ITS PARTS ARE GOVERNED VOTING AT 16 WHAT NEXT? YEAR OLDS POLITICAL ATTITUDES AND CIVIC EDUCATION

Part Five: Citizens, Society & the State

Protests under non-democratic regimes: contingent democrats versus genuine democrats

Corruption and business procedures: an empirical investigation

Phenomenon of trust in power in Kazakhstan Introduction

UNIVERSITÀ CATTOLICA DEL SACRO CUORE MILANO

Online Appendix: Unified Language, Labor and Ideology

Immigration and Internal Mobility in Canada Appendices A and B. Appendix A: Two-step Instrumentation strategy: Procedure and detailed results

Educated Preferences: Explaining Attitudes Toward Immigration In Europe. Jens Hainmueller and Michael J. Hiscox. Last revised: December 2005

Intra-Rural Migration and Pathways to Greater Well-Being: Evidence from Tanzania

Online Appendix: Robustness Tests and Migration. Means

REINVENTING THE POPULAR MEANING OF DEMOCRACY IN THE TIMES OF CRISIS IN EUROPEAN PERIPHERY

Youth, Democracy, and Politics: Poland

Incumbency as a Source of Spillover Effects in Mixed Electoral Systems: Evidence from a Regression-Discontinuity Design.

Migration, Bureaucratic Reform and Institutional Persistence: Evidence from U.S. Municipalities

ANNUAL SURVEY REPORT: BELARUS

What Can We Learn about Financial Access from U.S. Immigrants?

Recession and the Resurgent Entrepreneur; National-Level Effects of the Business Cycle on European Entrepreneurship. Senior Thesis.

What makes people feel free: Subjective freedom in comparative perspective Progress Report

Intra-Rural Migration and Pathways to Greater Well-Being: Evidence from Tanzania

Comments on Ansell & Samuels, Inequality & Democracy: A Contractarian Approach. Victor Menaldo University of Washington October 2012

Immigrant Children s School Performance and Immigration Costs: Evidence from Spain

ONLINE APPENDIX: DELIBERATE DISENGAGEMENT: HOW EDUCATION

South Americans Chinese

The Math Gender Gap: The Role of Culture. Natalia Nollenberger, Nuria Rodriguez-Planas, Almudena Sevilla. Online Appendix

BELIEF IN A JUST WORLD AND PERCEPTIONS OF FAIR TREATMENT BY POLICE ANES PILOT STUDY REPORT: MODULES 4 and 22.

Supplementary Materials for Strategic Abstention in Proportional Representation Systems (Evidence from Multiple Countries)

Appendix for Citizen Preferences and Public Goods: Comparing. Preferences for Foreign Aid and Government Programs in Uganda

3.3 DETERMINANTS OF THE CULTURAL INTEGRATION OF IMMIGRANTS

Spain s average level of current well-being: Comparative strengths and weaknesses

Appendix: Political Capital: Corporate Connections and Stock Investments in the U.S. Congress,

Labor Market Performance of Immigrants in Early Twentieth-Century America

Figure 2: Proportion of countries with an active civil war or civil conflict,

How s Life in Greece?

Latin American and North Carolina

Guns and Butter in U.S. Presidential Elections

How s Life in France?

Caucasus Barometer. Public Perceptions on Political, Social and Economic issues in South Caucasus Countries

ANNUAL SURVEY REPORT: AZERBAIJAN

SOCIAL CAPITAL AND HUMAN WELL-BEING IN SOUTH KOREA

Forms of Civic Engagement and Corruption

national congresses and show the results from a number of alternate model specifications for

IS THE MEASURED BLACK-WHITE WAGE GAP AMONG WOMEN TOO SMALL? Derek Neal University of Wisconsin Presented Nov 6, 2000 PRELIMINARY

Impacts of Legal Protections for Religious Activity: Evidence from Randomly Assigned Judges

Does Paternity Leave Matter for Female Employment in Developing Economies?

ANNUAL SURVEY REPORT: GEORGIA

Congruence in Political Parties

The Contribution of Veto Players to Economic Reform: Online Appendix

Do Migrants Improve Governance at Home? Evidence from a Voting Experiment

Public Opinion Survey Residents of Ukraine August 27-September 9, 2013

A disaggregate approach to economic models of voting in U.S. presidential elections: forecasts of the 2008 election. Abstract

Do natives beliefs about refugees education level affect attitudes toward refugees? Evidence from randomized survey experiments

English Deficiency and the Native-Immigrant Wage Gap

How s Life in the United States?

Remittances and the Brain Drain: Evidence from Microdata for Sub-Saharan Africa

How s Life in New Zealand?

Online Appendix 1: Treatment Stimuli

Is emigration of workers contributing to better schooling outcomes for children in Nepal?

Economic and living conditions and Government economic performance what Sierra Leoneans say

Transcription:

Communism s Shadow: Historical Legacies and Contemporary Political Attitudes Grigore PopEleches & Joshua A. Tucker Supplemental Appendix May, 2017 Version 1 CHAPTER 1. CHAPTER 2. CHAPTER 3. CHAPTER 4. CHAPTER 5. CHAPTER 6. CHAPTER 7. CHAPTER 8: CHAPTER 9: INTRODUCTION: COMMUNISM S SHADOW LIVING THROUGH COMMUNISM (NO MATERIALS) METHODS AND DATA DEMOCRATIC ATTITUDES STATE VS. MARKET SOCIAL WELFARE GENDER EQUALITY TEMPORAL AND COHORT EFFECTS CONCLUSION: LEGACIES AND COMMUNISM CODEBOOK A note on the organization of this appendix: We have attempted to make it is easy as possible to find the material referred to in the text of the manual by organizing this appendix by chapter. Within each chapter, we label tables that are directly related to figures or tables in the text with the same number but preceded by SA for Supplemental Appendix. These will be found in the order they appear in the chapter. If there are multiple tables in the appendix related to a single table, they will be followed by a lower case a, b, c, etc., e.g., Table SA1.1a. For analyses not tied to specific tables/figures but which are referenced in the chapter, they will be preceded by SAE for Supplemental Appendix Extra. These will be listed at the end of each chapter section, such that all SA tables will precede all SAE tables within a chapter.

2

CHAPTER 1. INTRODUCTION: COMMUNISM S SHADOW Table SA1.1. Postcommunist Attitudinal Differences VARIABLES (1) (2) (3) (4) Democracy support Market support Welfare state support Gender equality support Postcommunist.273**.125**.312**.080 (.069) (.047) (.037) (.074) Observations 227,373 262,299 281,157 215,826 Rsquared.028.022.053.046 Robust standard errors in parentheses ** p<.01, * p<.05, # p<.1 This table contains the results from the regression analysis that was used to create Figure 1.1 on p.2 3

CHAPTER 3. METHODS AND DATA In footnote 28 on p.75, we note that we reran tables 4.1, 4.3, 5.1, 5.3, 6.1, 6.3, 7.1, and 7.3 using hierarchical linear models. These tables are found in the respective chapters. On p.86 we note that the tables used to construct figures in Chapters 47 will be found in the supplemental appendix. These tables are found in the respective chapters. On p.89, we note that the codebook for our variables will be in the supplemental appendix. The codebook can be found at the end of this appendix. On p.93, we reference a supplemental analysis in Ch.7 using International Social Survey Program data; the related tables can be found in Ch.7. 4

CHAPTER 4. DEMOCRATIC ATTITUDES Table SA4.1a. Living in a Postcommunist Country and Attitudes toward Democracy Full Regression Results VARIABLES (1) (2) (3) (4) (5) (6) (7) (8) Postcommunist.273**.541**.532**.405**.467**.426**.304*.315** (.069) (.099) (.087) (.120) (.115) (.120) (.130) (.048) Urbanization 1920s.001.029.228.164.417* (.165) (.171) (.178) (.166) (.179) Landlocked.195#.182#.107.151.029 (.102) (.100) (.104) (.101) (.096) Distance from equator.002.008#.001.004.007# (.004) (.004) (.004) (.004) (.004) Distance from Greenwich.004**.005**.003**.003**.004** (.001) (.001) (.001) (.001) (.001) British colony.308**.357**.310**.185#.212* (.100) (.104) (.093) (.105) (.099) French colony.119.072.086.060.102 (.124) (.123) (.115) (.111) (.103) Spanish colony.102.092.021.038.039 (.080) (.080) (.084) (.085) (.091) German empire.179.267.224.105.284 (.216) (.242) (.184) (.178) (.191) Habsburg empire.004.013.071.112.007 (.103) (.104) (.111) (.094) (.097) Russian empire.025.085.037.065.120 (.129) (.129) (.120) (.116) (.115) Ottoman empire.293**.208*.272**.361**.226* (.091) (.092) (.096) (.083) (.093) Other European colony.120#.057.052.165*.006 (.070) (.075) (.068) (.083) (.071) Mean elevation.106#.030.005.120#.087 (.060) (.060) (.070) (.061) (.077) Log GDP/capita 1914.091.092.159#.139.189* (.091) (.080) (.085) (.088) (.076) Literacy 1920s.198**.183**.174**.168**.152** (.040) (.040) (.033) (.039) (.034) PreWWI regime.009.007.002.006.001 (.008) (.008) (.008) (.007) (.007) PreWWI regime*overseas.013.016.004.016.015 colony (.013) (.012) (.012) (.010) (.010) Overseas colony prewwi.294**.289**.291**.184#.153 (.090) (.088) (.083) (.095) (.094) Imperial territory prewwi.080.042.061.101.033 (.106) (.105) (.107) (.105) (.103) Muslim majority.115.131.109.132.091 (.139) (.123) (.136) (.148) (.116) Christian majority.134.153.032.018.099 (.135) (.124) (.140) (.139) (.131) Ethnic fractionalization.431**.591** (.152) (.129) 5

PostSecondary education.433**.437**.590* (.034) (.029) (.149) Secondary education.194**.193**.354# (.032) (.027) (.145) Primary education.026.031.117 (.027) (.022) (.121) HH income.039**.046**.037 (.015) (.011) (.045) Town resident.012.005.011 (.021) (.021) (.055) City resident.041.024.084 (.032) (.028) (.081) Large city resident.062*.059*.098# (.031) (.027) (.040) Male.047**.046**.022 (.007) (.007) (.023) Age.001#.001*.001 (.000) (.000) (.002) Relig attendance often.008.008.113** (.014) (.012) (.027) Relig attendance never.011.012.089* (.014) (.012) (.033) Atheist.050.049#.077* (.032) (.027) (.022) GDP chg.007*.010** (.004) (.003) Unemployment.003.000 (.004) (.003) Inflation (log).056*.016 (.028) (.029) GDP as % of 1989.066.027 (.141) (.137) Income inequality.011**.011** (.004) (.004) Corruption ctrl index.064.005 (.051) (.050) Health&education spending.004.000 as % GDP (.014) (.014) FH democracy.008.004 (.015) (.012) PR system.035.030 (.063) (.053) Mixed electoral system.055.029 (.068) (.062) Presidential system.114#.210** (.068) (.067) Parliamentarypresidential system.331**.357** (.069) (.060) Observations 227,373 227,373 227,373 227,373 227,373 227,373 227,373 6,018 Rsquared.028.104.077.136.113.115.156.100 Robust standard errors in parentheses ** p<.01, * p<.05, # p<.1 This table lists the full set of regression results that are summarized in Table 4.1 in the text. 6

Table SA4.1b. Living in a Postcommunist Country and Attitudes toward Democracy Hierarchical Linear Model (1) (2) (3) (4) (5) (6) (7) (8) Postcommunist.269**.365**.523**.230#.238*.275**.121.194 (.075) (.107) (.073) (.126) (.108) (.097) (.114) (.119) Urbanization 1920s.063.146.261.287#.552**.435** (.172) (.177) (.183) (.153) (.185) (.164) Landlocked.132.110.056.083.016.030 (.101) (.098) (.104) (.098) (.095) (.097) Distance from equator.003.008#.001.006.008#.008# (.004) (.004) (.004) (.005) (.005) (.005) Distance from Greenwich.004**.005**.003**.003**.004**.003* (.001) (.001) (.001) (.001) (.001) (.001) British colony.288**.344**.264**.153.181#.100 (.094) (.101) (.088) (.096) (.096) (.133) French colony.182.148.130.090.078.012 (.111) (.123) (.107) (.110) (.108) (.150) Spanish colony.114.103.065.042.000.008 (.080) (.085) (.085) (.087) (.092) (.107) German empire.273.286.288.211.336#.158 (.185) (.197) (.194) (.149) (.183) (.162) Habsburg empire.041.033.079.112.007.114 (.113) (.113) (.119) (.096) (.109) (.099) Russian empire.021.023.070.057.167.055 (.141) (.137) (.145) (.127) (.133) (.146) Ottoman empire.174#.106.186.314**.210#.321* (.103) (.103) (.114) (.089) (.109) (.133) Other European colony.091.052.065.149#.029.017 (.074) (.079) (.071) (.086) (.071) (.097) Mean elevation.097.036.021.075.092.047 (.059) (.063) (.074) (.062) (.079) (.088) Log GDP/capita 1914.057.064.151#.136.203*.151# (.094) (.088) (.086) (.085) (.083) (.091) Literacy 1920s.196**.174**.175**.154**.139**.136** (.041) (.042) (.034) (.038) (.033) (.039) PreWWI regime.007.003.004.003.003.002 (.009) (.009) (.008) (.007) (.007) (.008) PreWWI regime*overseas colony.011.010.004.013.010.013 (.013) (.013) (.012) (.010) (.011) (.013) Overseas colony prewwi.310**.311**.305**.133.130.057 (.095) (.090) (.086) (.095) (.093) (.113) Imperial territory pre WWI.060.100.193#.014.133.020 (.111) (.109) (.111) (.104) (.102) (.100) Muslim majority.093.117.096.065.073.302# (.151) (.139) (.139) (.160) (.132) (.172) Christian majority.167.162.037.055.106.255 (.137) (.124) (.137) (.138) (.138) (.198) Ethnic fractionalization.283#.507**.406* (.164) (.145) (.166) PostSecondary education.458**.458**.460** (.024) (.024) (.029) 7

Secondary education.215**.215**.216** (.021) (.021) (.025) Primary education.042*.042*.044* (.017) (.017) (.020) HH income.068**.068**.066** (.009) (.009) (.010) Town resident.038**.038**.054** (.014) (.014) (.016) City resident.081**.081**.081** (.020) (.020) (.020) Large city resident.093**.093**.093** (.019) (.019) (.022) Male.044**.044**.056** (.007) (.007) (.008) Age.001**.001**.000 (.000) (.000) (.000) Relig attendance often.004.003.001 (.010) (.010) (.011) Relig attendance never.004.004.001 (.010) (.010) (.012) Atheist.043*.042*.036 (.021) (.021) (.026) GDP chg.003.007*.012** (.004) (.003) (.004) Unemployment.002.004.012* (.004) (.003) (.005) Inflation (log).063*.005.002 (.027) (.031) (.036) GDP as % of 1989.096.208.150 (.145) (.136) (.151) Income inequality.008*.009*.010* (.004) (.004) (.004) Corruption ctrl index.089#.031.018 (.048) (.050) (.058) Health&education spending as % GDP.021.012.026 (.014) (.015) (.018) FH democracy.008.002.013 (.015) (.013) (.018) PR system.012.009.036 (.066) (.059) (.077) Mixed electoral system.065.063.075 (.071) (.067) (.086) Presidential system.103.209**.209** (.071) (.074) (.080) Parliamentarypresidential system.333**.346**.260** (.071) (.065) (.083) Observations 227,373 227,373 227,373 227,373 227,373 227,373 227,373 159,926 Number of groups 164 164 164 164 164 164 164 115 This table replicates Table 4.1 in the text, only using a Hierarchical Linear Model instead of OLS with country clustered standard errors. 8

Table SA4.2. Communist System Features and Support for Democracy Full Regression Results VARIABLES (1) (2) (3) (4) (5) (6) Postcommunist.541**.650**.592**.669**.582**.851** (.099) (.124) (.110) (.129) (.102) (.148) Urbanization 1920s.001.327.056.087.023.080 (.165) (.248) (.174) (.166) (.167) (.167) Landlocked.195#.147.204*.199#.191#.206* (.102) (.095) (.098) (.101) (.100) (.099) Distance from equator.002.003.003.002.003.003 (.004) (.004) (.004) (.004) (.004) (.004) Distance from Greenwich.004**.003**.005**.004**.004**.004** (.001) (.001) (.001) (.001) (.001) (.001) British colony.308**.188#.369**.347**.313**.364** (.100) (.110) (.117) (.103) (.099) (.103) French colony.119.038.056.138.141.187# (.124) (.126) (.104) (.114) (.123) (.108) Spanish colony.102.159#.019.131.087.110 (.080) (.082) (.105) (.084) (.083) (.084) German empire.179.194.162.185.208.193 (.216) (.187) (.207) (.226) (.204) (.221) Habsburg empire.004.004.026.008.010.014 (.103) (.101) (.107) (.105) (.102) (.105) Russian empire.025.019.048.038.026.037 (.129) (.125) (.127) (.133) (.126) (.130) Ottoman empire.293**.286**.312**.304**.288**.304** (.091) (.093) (.095) (.092) (.091) (.092) Other European colony.120#.189*.065.133#.111.116 (.070) (.073) (.074) (.070) (.069) (.071) Mean elevation.106#.122*.070.111#.114#.136* (.060) (.061) (.071) (.061) (.061) (.063) Log GDP/capita 1914.091.105.078.070.084.055 (.091) (.080) (.092) (.089) (.090) (.087) Literacy 1920s.198**.232**.198**.207**.199**.203** (.040) (.043) (.041) (.040) (.039) (.041) PreWWI regime.009.001.008.009.009.011 (.008) (.009) (.008) (.008) (.008) (.008) PreWWI regime*overseas colony.013.010.014.012.011.010 (.013) (.013) (.012) (.013) (.013) (.013) Overseas colony prewwi.294**.325**.320**.345**.286**.347** (.090) (.099) (.095) (.096) (.089) (.096) Imperial territory prewwi.080.089.057.091.061.086 (.106) (.105) (.111) (.107) (.107) (.111) Muslim majority.115.204.047.081.123.079 (.139) (.134) (.150) (.133) (.145) (.134) Christian majority.134.004.250.146.159.183 (.135) (.132) (.155) (.128) (.144) (.133) Urbanization 1989.267 (.198) Primary school enrollment.003 (.002) 9

Energy Intensity 5.480 (4.762) Industry as % GDP.005 (.004) Literacy 1989.001 (.003) Log GDP/capita 1989.161* (.065) Health&education spending 1989.014 (.014) Income inequality 1989.005 (.005) State sector size late 1989.024 (.031) Avg regime score 197589.009.009 (.006) (.007) Left gov't share 197589.112.183* (.083) (.078) Avg regime score 197589* Left gov t share 197589.010 (.012) Observations 227,373 227,373 227,373 227,373 227,373 227,373 Rsquared.104.111.109.105.105.107 Robust standard errors in parentheses ** p<.01, * p<.05, # p<.1 This table lists the full set of regression results that are summarized in Table 4.2 in the text. 10

Table SA4.3a. Living through Communism and Attitudes toward Democracy Full Regression Results VARIABLES (1) (2) (3) (4) (5) (6) (7) (8) Total communist.0068**.0069** (.0010) (.0008) Stalinist total.0060#.0115** (.0036) (.0016) NeoStalinist total.0119**.0066** (.0033) (.0019) Posttotalitarian total.0117**.0051** Reform comm. total (.0042) (.0019).0010.0046** (.0026) (.0015) Early communist.0016.0013.0059.0021 (.0028) (.0019) (.0038) (.0027) Adult communist.0070**.0070**.0056**.0059** (.0010) (.0008) (.0017) (.0012) Early communist * Adult communist.0002.0001 (.0001) (.0001) Postcommunist.2014#.1788.2787*.3168* (.1196) (.1285) (.1231) (.1235) Age.0029**.0033**.0029**.0033**.0030**.0034**.0030**.0034** (.0005) (.0004) (.0005) (.0004) (.0005) (.0004) (.0006) (.0004) PostSecondary education.4532**.4789**.4580**.4767**.4489**.4763**.4492**.4763** (.0358) (.0245) (.0366) (.0244) (.0356) (.0243) (.0357) (.0243) Secondary education.2115**.2299**.2142**.2274**.2065**.2269**.2069**.2270** (.0330) (.0210) (.0337) (.0210) (.0329) (.0208) (.0329) (.0208) Primary education.0446.0555**.0470#.0542**.0424.0540**.0428.0544** (.0277) (.0169) (.0283) (.0169) (.0275) (.0169) (.0276) (.0169) HH income.0371*.0579**.0311*.0578**.0369*.0574**.0370*.0576** (.0150) (.0091) (.0146) (.0091) (.0150) (.0091) (.0150) (.0091) Town resident.0094.0283#.0114.0280#.0093.0284#.0096.0286# (.0218) (.0156) (.0215) (.0155) (.0217) (.0156) (.0217) (.0156) City resident.0383.0685**.0465.0681**.0387.0690**.0390.0691** (.0327) (.0211) (.0327) (.0210) (.0327) (.0211) (.0327) (.0211) Large city resident.0631*.0893**.0708*.0894**.0642*.0904**.0645*.0905** (.0317) (.0193) (.0312) (.0192) (.0318) (.0193) (.0317) (.0193) Male.0461**.0446**.0459**.0445**.0461**.0446**.0461**.0447** (.0069) (.0067) (.0069) (.0068) (.0069) (.0067) (.0069) (.0068) Urbanization 1920s.0373.1296.0380.0379 (.1679) (.1645) (.1674) (.1675) Landlocked.1955*.2063*.1957*.1949* (.0985) (.0994) (.0979) (.0980) Distance from equator.0079#.0087*.0080*.0079# (.0040) (.0042) (.0040) (.0040) Distance from Greenwich.0051**.0051**.0051**.0051** (.0011) (.0011) (.0011) (.0011) British colony.3572**.3674**.3585**.3584** (.1044) (.1107) (.1044) (.1044) 11

French colony.0653.0546.0656.0656 (.1204) (.1237) (.1202) (.1203) Spanish colony.0917.1009.0916.0920 (.0801) (.0807) (.0800) (.0800) German empire.3184.2988.3175.3165 (.2094) (.1868) (.2081) (.2085) Habsburg empire.0036.0133.0076.0067 (.1103) (.1090) (.1095) (.1095) Russian empire.1349.1600.1329.1325 (.1306) (.1278) (.1299) (.1298) Ottoman empire.2132*.1972*.2132*.2125* (.0928) (.0919) (.0924) (.0924) Other European colony.0476.0358.0453.0462 (.0757) (.0772) (.0758) (.0756) Mean elevation.0353.0263.0354.0350 (.0605) (.0609) (.0603) (.0603) Log GDP/capita 1914.1088.0966.1092.1089 (.0810) (.0829) (.0809) (.0809) Literacy 1920s.1869**.1986**.1887**.1881** (.0401) (.0399) (.0400) (.0401) PreWWI regime.0060.0023.0059.0059 (.0084) (.0081) (.0084) (.0084) PreWWI regime*overseas colony.0135.0105.0134.0135 (.0124) (.0125) (.0124) (.0124) Overseas colony prewwi.2885**.2694**.2884**.2883** (.0886) (.0926) (.0886) (.0886) Imperial territory prewwi.0401.0860.0422.0424 (.1069) (.1053) (.1061) (.1061) Muslim majority.1262.1126.1253.1251 (.1278) (.1300) (.1278) (.1280) Christian majority.1561.1712.1579.1567 (.1270) (.1320) (.1271) (.1270) Ethnic fractionalization.4240**.4774**.4245**.4250** (.1530) (.1599) (.1525) (.1528) Country f.e. No Yes No Yes No Yes No Yes Observations 227,373 227,373 227,373 227,373 227,373 227,373 227,373 227,373 Rsquared.1379.1919.1402.1921.1383.1921.1383.1921 This table lists the full set of regression results that are summarized in Table 4.3 in the text. 12

Table SA4.3b. Living through Communism and Attitudes toward Democracy Hierarchical Linear Model VARIABLES (1) (2) (3) (4) (5) (6) (7) (8) Total communist.0063**.0063** (.0008) (.0008) Stalinist total.0095**.0097** (.0016) (.0016) NeoStalinist total.0079**.0077** (.0018) (.0018) Posttotalitarian total.0049**.0047** (.0017) (.0017) Reform comm. total.0035*.0037* (.0016) (.0016) Early communist.0003.0003.0031.0030 (.0017) (.0017) (.0026) (.0026) Adult communist.0065**.0065**.0053**.0053** (.0008) (.0008) (.0011) (.0011) Early communist *.0001.0001 Adult communist (.0001) (.0001) Age.0030**.0030**.0030**.0030**.0031**.0031**.0031**.0031** (.0004) (.0004) (.0004) (.0004) (.0004) (.0004) (.0004) (.0004) PostSecondary education.4727**.4733**.4718**.4722**.4697**.4704**.4697**.4704** (.0239) (.0238) (.0239) (.0239) (.0238) (.0237) (.0238) (.0237) Secondary education.2268**.2272**.2255**.2257**.2234**.2238**.2235**.2239** (.0206) (.0206) (.0207) (.0206) (.0206) (.0205) (.0206) (.0205) Primary education.0541**.0541**.0536**.0535**.0524**.0524**.0528**.0528** (.0168) (.0167) (.0168) (.0167) (.0168) (.0167) (.0168) (.0167) HH income.0646**.0642**.0644**.0640**.0639**.0635**.0640**.0636** (.0089) (.0088) (.0089) (.0087) (.0089) (.0087) (.0088) (.0087) Town resident.0380**.0377**.0375**.0373**.0381**.0378**.0382**.0379** (.0144) (.0144) (.0143) (.0143) (.0143) (.0144) (.0143) (.0144) City resident.0799**.0798**.0793**.0793**.0804**.0803**.0805**.0804** (.0197) (.0196) (.0195) (.0195) (.0197) (.0196) (.0197) (.0196) Large city resident.0928**.0931**.0925**.0929**.0938**.0941**.0940**.0943** (.0185) (.0185) (.0184) (.0184) (.0186) (.0186) (.0186) (.0185) Male.0435**.0435**.0433**.0433**.0435**.0435**.0435**.0435** (.0067) (.0067) (.0068) (.0068) (.0067) (.0067) (.0067) (.0067) Postcommunist.0494.0460.1043.1353 (.1274) (.1307) (.1284) (.1298) Urbanization 1920s.1388.1972.1389.1388 (.1769) (.1737) (.1766) (.1766) Landlocked.1098.0971.1102.1098 (.0985) (.0980) (.0981) (.0981) Distance from equator.0081#.0087#.0082#.0081# (.0044) (.0045) (.0044) (.0044) Distance from Greenwich.0054**.0055**.0054**.0054** 13

(.0011) (.0011) (.0011) (.0011) British colony.3375**.3442**.3377**.3375** (.1000) (.1022) (.1001) (.1001) French colony.1400.1370.1398.1400 (.1209) (.1215) (.1209) (.1208) Spanish colony.1041.1073.1041.1044 (.0848) (.0847) (.0848) (.0847) German empire.2865.2779.2856.2853 (.1966) (.1878) (.1958) (.1961) Habsburg empire.0403.0577.0386.0389 (.1145) (.1084) (.1140) (.1141) Russian empire.0173.0023.0163.0165 (.1385) (.1380) (.1380) (.1380) Ottoman empire.0966.1064.0963.0962 (.1039) (.1003) (.1035) (.1034) Other European colony.0484.0337.0468.0476 (.0795) (.0795) (.0795) (.0795) Mean elevation.0417.0280.0420.0416 (.0638) (.0636) (.0636) (.0637) Log GDP/capita 1914.0653.0542.0656.0655 (.0893) (.0891) (.0891) (.0891) Literacy 1920s.1722**.1736**.1736**.1731** (.0419) (.0423) (.0418) (.0418) PreWWI regime.0033.0020.0032.0033 (.0086) (.0086) (.0086) (.0086) PreWWI regime*overseas colony.0103.0091.0103.0103 (.0131) (.0132) (.0131) (.0131) Overseas colony prewwi.3075**.2985**.3067**.3067** (.0895) (.0918) (.0896) (.0895) Imperial territory prewwi.0987.1031.1010.1009 (.1105) (.1067) (.1100) (.1100) Muslim majority.1047.0907.1040.1043 (.1401) (.1410) (.1401) (.1402) Christian majority.1642.1803.1654.1644 (.1262) (.1275) (.1264) (.1264) Ethnic fractionalization.2820#.3233#.2824#.2825# (.1662) (.1666) (.1657) (.1658) Ctry f.e. No Yes No Yes No Yes No Yes Observations 227,373 227,373 227,373 227,373 227,373 227,373 227,373 227,373 Number of groups 164 164 164 164 164 164 164 164 This table replicates Table 4.3 in the text, only using a Hierarchical Linear Model instead of OLS with country clustered standard errors. 14

Table SA4.3c. Living through Communism and Attitudes toward Democracy Mediation Analysis Effect Mean [95% Conf. Interval] ACME 0.184 0.205 0.168 Direct Effect 0.203 0.237 0.172 Total Effect 0.387 0.416 0.361 % of Tot Eff mediated 48% 44% 51% This table presents the full mediation analysis for Model 1 of Table 4.3, as referenced in the text on p.116. 15

Table SAE4.1a. Questions in Democracy Index Indicator Democratic values index Survey question wording I'm going to describe various types of political systems and ask what you think about each as a way of governing this country. For each one, would you say it is a very good, fairly good, fairly bad or very bad way of governing this country? Having a democratic political system (4 point scale) Having a strong leader who does not have to bother with parliament and elections. (4 point scale) Having the army rule (4 point scale) I'm going to read off some things that people sometimes say about a democratic political system. Could you please tell me if you agree strongly, agree, disagree or disagree strongly, after I read each one of them? In democracy, the economic system runs badly (4 point agreedisagree scale) Democracies aren't good at maintaining order (4 point agreedisagree scale) Democracies are indecisive and have too much quibbling (4 point agreedisagree scale) Democracy may have problems but it's better than any other form of government (4 point agreedisagree scale) This table lists the questions used to construct the democracy index in Chapter 4. Questions excluded from the no use of the word democracy index analyzed in Table 4.6 and described on p.133 are listed in italics. 16

Table SAE4.1b. Additional Democracy Questions in Wave 5 of World Values Survey. Many things may be desirable, but not all of them are essential characteristics of democracy. Please tell me for each of the following things how essential you think it is as a characteristic of democracy. Use this scale where 1 means not at all an essential characteristic of democracy and 10 means it definitely is an essential characteristic of democracy ((Read out and code one answer for each)): Governments tax the rich and subsidize the poor. Religious authorities interpret the laws. People choose their leaders in free elections. People receive state aid for unemployment. The army takes over when government is incompetent. Civil rights protect people s liberty against oppression. The economy is prospering. Criminals are severely punished. People can change the laws in referendums. Women have the same rights as men. This table lists the full question wording for the extra democracy questions used in the analyses in Table 4.4 and Table 4.5. and referenced in the p.128. 17

Table SAE4.2 Communist Exposure and Democracy Support: Country Moderators VARIABLES (1) (2) (3) (4) (5) (6) (7) (8) (9) Literacy in 1920s* Total comm Total communist.0008 (.0005).0098**.0258#.0058**.0045#.0068**.0036**.0089**.0040*.0061** (.0019) (.0137) (.0009) (.0027) (.0009) (.0013) (.0013) (.0018) (.0012) Literacy 1920s.0502 (.0404) Age.0037.0037.0037.0037.0037.0037.0037.0037.0037 (.0000) (.0000) (.0000) (.0000) (.0000) (.0000) (.0000) (.0000) (.0000) PostSecondary education.5189**.5078**.5255**.5389**.5281**.5228**.5327**.5337**.5257** (.0529) (.0491) (.0541) (.0537) (.0566) (.0528) (.0522) (.0493) (.0554) Secondary education.2736**.2598**.2803**.2974**.2863**.2815**.2831**.2939**.2879** (.0490) (.0451) (.0498) (.0497) (.0519) (.0482) (.0481) (.0440) (.0522) Primary education.0818*.0743#.0879*.1094*.1046*.1055*.0818*.1150**.1322** (.0409) (.0384) (.0429) (.0473) (.0435) (.0442) (.0407) (.0433) (.0428) HH income.0575*.0702**.0622*.0839**.0680**.0759**.0467.0762**.0826** (.0284) (.0270) (.0286) (.0251) (.0249) (.0239) (.0313) (.0234) (.0224) Town resident.0697**.0713**.0669*.0706**.0763**.0731**.0702**.0731**.0822** (.0265) (.0276) (.0267) (.0263) (.0249) (.0238) (.0266) (.0256) (.0266) City resident.0497.0609.0413.0423.0513.0416.0442.0410.0495 (.0382) (.0391) (.0387) (.0396) (.0383) (.0356) (.0391) (.0384) (.0399) Large city resident.0792*.0958*.0803*.0855*.0829#.0780#.0782#.0778#.0911* (.0400) (.0413) (.0408) (.0428) (.0443) (.0411) (.0414) (.0404) (.0412) Male.0613**.0613**.0594**.0558**.0576**.0565**.0618**.0561**.0558** (.0105) (.0107) (.0106) (.0108) (.0113) (.0109) (.0105) (.0109) (.0106) Precomm GDP/cap* Total comm.0025 (.0018) Precomm GDP/cap.2178* (.1107) Avg. regime score (192039)* Total comm Interwar regime (1920 39).0003* (.0001).0094 (.0095) Comm econ growth*.0005 Total comm (.0007) Comm econ growth.0450 (.0579) Native communist regime* Total comm.0004 (.0021) 18

Native communist regime.0919 (.1065) Proportion hardline *.0074** Total comm (.0022) Proportion hardline.1429 (.1771) Comm regime type* Total comm Communist regime type Econ growth 198188* Total comm.0014 (.0008).0993 (.0802).0019# (.0011) Econ growth 198188.0424 (.0672) Regime score(1989)* Total comm (.0002) Regime score(1989).0317* (.0148) Observations 64,763 64,763 64,763 64,763 64,763 64,763 64,763 64,763 64,763 Robust standard errors in parentheses ** p<.01, * p<.05, # p<.1 This table lists the full regression results used to produce Figure 4.3 in the text.0002 19

Table SAE. 4.3 Communist Exposure and Democracy Support: Individual Moderators (1) (2) (3) (4) (5) (6) VARIABLES Total communist.0074**.0073**.0075**.0103**.0057**.0076** (.0013) (.0009) (.0013) (.0021) (.0011) (.0010) Catholic resp.* Total comm.0035* (.0016) Protestant resp.* Total comm.0003 (.0022) Eastern Orthodox resp.* Total comm.0001 (.0013) Muslim resp.* Total comm.0002 (.0018) Catholic resp..0530 (.0756) Protestant resp..1430* (.0704) Eastern Orthodox resp..1549** (.0594) Muslim resp..1891* (.0946) Relig attendance often* Total comm.0018 (.0011) Relig attendance often.0930# (.0489) Catholic frequent attendance* Total comm Protestant frequent attendance* Total comm Muslim frequent attendance* Total comm Orthodox frequent attendance* Total comm.0041* (.0018).0006 (.0027).0004 (.0031).0002 (.0018) Other Catholic* Total comm.0029# (.0017) Other Protestant* Total comm.0002 (.0024) Other Muslim* Total comm.0005 (.0020) Other Orthodox* Total comm.0001 (.0012) Catholic frequent attendance.0949 (.1038) Protestant frequent attendance.1369 (.0914) 20

Muslim frequent attendance.1390 (.1039) Orthodox frequent attendance.2474** (.0709) Other Catholic.0250 (.0624) Other Protestant.1386# (.0786) Other Muslim.1960# (.1039) Other Orthodox.1330* (.0572) Primary educ* Total comm.0027 (.0019) Secondary educ* Total comm.0029 (.0018) Higher educ* Total comm.0063** (.0022) Urban resident* Total comm.0027* (.0011) Urban resident.0989* (.0442) Male* Total comm.0014# (.0008) Age.0037.0037.0037.0037.0037.0037 (.0000) (.0000) (.0000) (.0000) (.0000) (.0000) PostSecondary education.5381**.5251**.5341**.3133**.5723**.5204** (.0497) (.0528) (.0488) (.1093) (.0617) (.0551) Secondary education.2917**.2839**.2861**.1594#.3198**.2814** (.0461) (.0490) (.0447) (.0965) (.0547) (.0513) Primary education.0931*.1083*.0901*.0072.1311**.1052* (.0378) (.0456) (.0366) (.0952) (.0474) (.0463) HH income.0639*.0776**.0628*.0772**.0549#.0776** (.0278) (.0255) (.0276) (.0256) (.0287) (.0256) Town resident.0877**.0717**.0872**.0736**.0738** (.0251) (.0252) (.0247) (.0258) (.0257) City resident.0576.0385.0584.0402.0410 (.0368) (.0393) (.0367) (.0395) (.0394) Large city resident.1095**.0746#.1094**.0764#.0786# (.0402) (.0411) (.0403) (.0417) (.0416) Male.0532**.0547**.0497**.0547**.0547**.0170 (.0116) (.0107) (.0114) (.0109) (.0107) (.0238) Observations 64,763 64,763 64,763 64,763 64,763 64,763 This table lists the full regression results used to produce Figure 4.2 in the text 21

Table SAE. 4.3b Communist Exposure and Democracy Support: Individual Moderators (excluding Poland) (1) (2) (3) (4) (5) (6) VARIABLES Total communist.0075**.0074**.0076**.0103**.0060**.0079** (.0013) (.0009) (.0013) (.0020) (.0011) (.0010) Catholic resp.* Total comm.0028# (.0015) Protestant resp.* Total comm.0002 (.0021) Eastern Orthodox resp.* Total comm.0002 (.0013) Muslim resp.* Total comm.0002 (.0018) Catholic resp..0556 (.0694) Protestant resp..1456* (.0680) Eastern Orthodox resp..1510** (.0571) Muslim resp..1839* (.0846) Relig attendance often* Total comm.0008 (.0011) Relig attendance often.0125 (.0434) Catholic frequent attendance* Total comm Protestant frequent attendance* Total comm Muslim frequent attendance* Total comm Orthodox frequent attendance* Total comm.0015 (.0016).0003 (.0028).0004 (.0030).0003 (.0018) Other Catholic* Total comm.0032* (.0016) Other Protestant* Total comm.0006 (.0024) Other Muslim* Total comm.0004 (.0020) Other Orthodox* Total comm.0001 (.0012) Catholic frequent attendance.1516# (.0815) Protestant frequent attendance.1686# (.0924) 22

Muslim frequent attendance.1415 (.0968) Orthodox frequent attendance.2455** (.0684) Other Catholic.0038 (.0641) Other Protestant.1229# (.0742) Other Muslim.1904* (.0935) Other Orthodox.1283* (.0549) Primary educ* Total comm.0011 (.0019) Secondary educ* Total comm.0030 (.0018) Higher educ* Total comm.0066** (.0021) Urban resident* Total comm.0025* (.0012) Urban resident.0926* (.0460) Male* Total comm.0016* (.0008) Age.0037.0037.0037.0037.0037.0037 (.0000) (.0000) (.0000) (.0000) (.0000) (.0000) PostSecondary education.5219**.5148**.5185**.2951**.5541**.5053** (.0494) (.0544) (.0487) (.1053) (.0625) (.0558) Secondary education.2812**.2813**.2771**.1553.3098**.2739** (.0458) (.0506) (.0446) (.0955) (.0559) (.0525) Primary education.1304**.1503**.1272**.0911.1705**.1460** (.0344) (.0427) (.0333) (.0889) (.0455) (.0435) HH income.0821**.0974**.0806**.0960**.0776**.0969** (.0243) (.0216) (.0242) (.0215) (.0234) (.0214) Town resident.0903**.0694**.0923**.0692**.0693** (.0259) (.0259) (.0252) (.0268) (.0268) City resident.0756*.0459.0794*.0449.0460 (.0375) (.0408) (.0370) (.0414) (.0413) Large city resident.1136**.0674.1163**.0651.0679 (.0424) (.0426) (.0425) (.0435) (.0434) Male.0526**.0559**.0519**.0509**.0515**.0106 (.0120) (.0111) (.0118) (.0110) (.0109) (.0243) Observations 61,741 61,741 61,741 61,741 61,741 61,741 This table reruns the tests in Table SAE. 4.3 above but without survey respondents from Poland in line with the discussion on p.97. 23

CHAPTER 5. STATE VS. MARKET Table SA5.1a. Living in a Postcommunist Country and Attitudes toward Markets Full Regression Results VARIABLES (1) (2) (3) (4) (5) (6) (7) (8) Postcommunist.125**.288**.261**.212*.295**.161.218*.176 (.047) (.082) (.084) (.090) (.083) (.100) (.096) (.099) Urbanization 1920s.528**.518**.494**.557**.534** (.130) (.126) (.126) (.124) (.112) Landlocked.199**.235**.123#.194**.160* (.061) (.059) (.067) (.064) (.065) Distance from equator.002.000.002.002.002 (.002) (.003) (.002) (.003) (.003) Distance from Greenwich.000.001.000.001.002* (.001) (.001) (.001) (.001) (.001) British colony.234**.232**.253**.246**.270** (.063) (.070) (.063) (.062) (.064) French colony.229**.208**.241**.143**.136** (.056) (.055) (.060) (.054) (.051) Spanish colony.162**.148**.113*.131*.060 (.056) (.051) (.056) (.065) (.067) German empire.104.039.118.136.106 (.106) (.107) (.095) (.108) (.103) Habsburg empire.066.042.083.021.007 (.091) (.090) (.082) (.084) (.077) Russian empire.288**.197*.286**.285**.280** (.095) (.093) (.089) (.093) (.087) Ottoman empire.131.136#.121.166*.129# (.082) (.075) (.082) (.081) (.070) Other European colony.065.064.096#.095.137* (.054) (.055) (.056) (.058) (.061) Mean elevation.053.005.029.084#.019 (.039) (.040) (.044) (.044) (.044) Log GDP/capita 1914.128*.125*.136**.143*.163** (.060) (.059) (.050) (.057) (.049) Literacy 1920s.005.011.023.011.036 (.029) (.030) (.027) (.029) (.028) PreWWI regime.003.001.000.000.007 (.005) (.005) (.005) (.005) (.005) PreWWI.005.006.010#.006.013# regime*overseas colony (.006) (.006) (.006) (.007) (.007) Overseas colony prewwi.243**.244**.252**.264**.293** Imperial territory pre WWI (.063) (.066) (.057) (.066) (.064).257**.203*.218*.213*.165# (.099) (.095) (.094) (.104) (.097) Muslim majority.100.111.133#.080.129 (.083) (.080) (.079) (.095) (.086) Christian majority.080.096.066.172#.182# (.094) (.093) (.090) (.099) (.093) Ethnic fractionalization.087.076 (.111) (.100) PostSecondary education.216**.219**.057 (.023) (.022) (.095) 24

Secondary education.136**.136**.122 (.020) (.020) (.097) Primary education.044*.041*.093 (.017) (.016) (.078) HH income.083**.077**.071* (.011) (.011) (.025) Town resident.018.008.029 (.015) (.014) (.034) City resident.035.023.061* (.022) (.019) (.024) Large city resident.025.030.053* (.021) (.019) (.019) Male.122**.123**.121** (.008) (.008) (.015) Age.001#.001*.000 (.000) (.000) (.002) Relig attendance often.009.002.015 (.011) (.010) (.019) Relig attendance never.036**.042**.058# (.011) (.010) (.028) Atheist.072**.086**.097* (.020) (.019) (.038) GDP chg.002.004 (.004) (.004) Unemployment.001.000 (.003) (.002) Inflation (log).023.002 (.022) (.023) GDP as % of 1989.026.133# (.084) (.079) Income inequality.007*.007** (.003) (.003) Corruption ctrl index.121**.086* (.035) (.035) Health&education spending as % GDP.006.001 (.010) (.010) FH democracy.000.004 (.010) (.009) PR system.079#.112* (.045) (.044) Mixed electoral system.026.014 (.047) (.047) Presidential system.126**.105* (.044) (.042) Parliamentarypresidential system.075.060 (.051) (.048) Observations 262,299 262,299 262,299 262,299 262,299 262,299 262,299 8,857 Rsquared.022.057.018.077.061.062.083.079 Robust standard errors in parentheses ** p<.01, * p<.05, # p<.1 This table lists the full set of regression results that are summarized in Table 5.1 in the text. 25

Table SA5.1b. Living in a Postcommunist Country and Attitudes toward Markets Hierarchical Linear Model VARIABLES (1) (2) (3) (4) (5) (6) (7) (8) Postcommunist.130**.246**.333**.154#.256**.161*.173*.271** (.045) (.083) (.077) (.086) (.083) (.082) (.086) (.098) Urbanization 1920s.495**.443**.487**.534**.476**.496** (.112) (.113) (.112) (.111) (.108) (.118) Landlocked.161*.165*.084.164*.113.081 (.064) (.065) (.071) (.069) (.074) (.082) Distance from equator.002.001.001.001.002.004 (.002) (.002) (.002) (.002) (.003) (.004) Distance from Greenwich.001.001.001.001#.002*.001 (.001) (.001) (.001) (.001) (.001) (.001) British colony.235**.245**.248**.249**.279**.247** (.064) (.072) (.061) (.064) (.065) (.082) French colony.230**.224**.253**.143*.147**.103 (.060) (.061) (.062) (.057) (.055) (.074) Spanish colony.161**.136*.120*.104#.015.013 (.056) (.057) (.053) (.062) (.069) (.074) German empire.080.067.087.114.121.267* (.108) (.114) (.098) (.110) (.113) (.135) Habsburg empire.098.084.106.016.024.094 (.084) (.088) (.076) (.079) (.077) (.091) Russian empire.296**.249*.266**.275**.278**.360** (.094) (.097) (.089) (.093) (.093) (.113) Ottoman empire.127#.121.131#.193*.154*.239* (.075) (.077) (.075) (.076) (.077) (.099) Other European colony.076.086.092.102#.171*.097 (.059) (.063) (.059) (.061) (.067) (.082) Mean elevation.050.016.028.086#.033.132* (.040) (.043) (.042) (.045) (.048) (.062) Log GDP/capita 1914.163**.159**.170**.168**.186**.200** (.055) (.053) (.047) (.053) (.046) (.057) Literacy 1920s.006.018.032.021.044.034 (.028) (.028) (.026) (.027) (.028) (.029) PreWWI regime.002.002.001.000.007.006 (.005) (.005) (.005) (.005) (.005) (.006) PreWWI regime*overseas colony.004.006.008.005.014#.009 (.006) (.006) (.006) (.007) (.007) (.008) Overseas colony prewwi.231**.231**.236**.228**.239**.171* (.069) (.073) (.058) (.071) (.066) (.077) Imperial territory prewwi.233*.189*.201*.214*.161#.304** (.093) (.095) (.089) (.097) (.097) (.109) Muslim majority.099.077.152#.063.095.139 (.085) (.086) (.081) (.097) (.096) (.125) Christian majority.111.103.099.169.166.081 (.098) (.101) (.094) (.105) (.103) (.139) Ethnic fractionalization.028.021.091 (.120) (.103) (.136) PostSecondary education.215**.215**.240** (.019) (.019) (.024) Secondary education.120**.120**.134** 26

(.016) (.016) (.020) Primary education.026#.026#.036* (.014) (.014) (.017) HH income.078**.078**.078** (.009) (.009) (.010) Town resident.024*.024*.026* (.011) (.011) (.012) City resident.053**.053**.054** (.016) (.016) (.017) Large city resident.061**.061**.058** (.017) (.017) (.018) Male.123**.123**.132** (.008) (.008) (.009) Age.001*.001*.001* (.000) (.000) (.000) Relig attendance often.002.002.004 (.009) (.009) (.010) Relig attendance never.027**.028**.035** (.008) (.008) (.009) Atheist.098**.099**.120** (.017) (.017) (.017) GDP chg.000.002.001 (.004) (.004) (.005) Unemployment.001.001.005 (.002) (.002) (.004) Inflation (log).021.004.006 (.024) (.025) (.025) GDP as % of 1989.025.066.030 (.085) (.083) (.093) Income inequality.008**.008**.005 (.003) (.003) (.004) Corruption ctrl index.120**.093**.027 (.033) (.034) (.041) Health&education spending as % GDP.012.004.009 (.010) (.011) (.013) FH democracy.004.003.000 (.010) (.010) (.012) PR system.071.114*.079 (.044) (.046) (.053) Mixed electoral system.072.028.158* (.050) (.053) (.069) Presidential system.128**.087#.091# (.044) (.045) (.052) Parliamentarypresidential system.079.083.161** (.050) (.053) (.059) Observations 262,299 262,299 262,299 262,299 262,299 262,299 262,299 199,064 Number of groups 201 201 201 201 201 201 201 154 Robust standard errors in parentheses ** p<.01, * p<.05, # p<.1 This table replicates Table 5.1 in the text, only using a Hierarchical Linear Model instead of OLS with country clustered standard errors. 27

Table SA5.2. Communist System Features and Support for Markets Full Regression Results VARIABLES (1) (2) (3) (4) (5) (6) Postcommunist.286**.251**.392**.201*.334**.361** (.080) (.074) (.081) (.098) (.075) (.107) Urbanization 1989.362** (.123) Primary school enrollment.000 (.001) Literacy 1989.002 (.002) Energy Intensity 5.057 (4.183) Industry as % GDP.010** (.002) Log GDP/capita 1989.079# (.043) Health&education spending 1989.018# (.010) Income inequality 1989.002 (.003) State sector size late 1989.057** (.017) Avg regime score 197589.006.006 (.004) (.005) Left gov't share 197589.138**.147** (.048) (.047) Avg regime score 197589* Left gov't share 197589.010 (.007) Urbanization 1920s.585**.060.547**.536**.553**.522** (.125) (.167) (.125) (.135) (.126) (.135) Landlocked.174**.109#.122*.169**.163**.173** (.061) (.056) (.060) (.062) (.062) (.062) Distance from equator.002.001.002.002.000.001 (.002) (.003) (.002) (.003) (.002) (.003) Distance from Greenwich.000.000.001.000.001.000 (.001) (.001) (.001) (.001) (.001) (.001) British colony.237**.201**.146*.208**.240**.218** (.062) (.057) (.064) (.071) (.061) (.071) French colony.222**.277**.187**.235**.196**.198** (.055) (.062) (.062) (.057) (.056) (.058) Spanish colony.149**.136**.201**.129*.135*.117* (.055) (.051) (.061) (.055) (.056) (.056) German empire.271*.186#.287**.269*.246*.282* (.106) (.095) (.105) (.104) (.105) (.114) Habsburg empire.038.015.063.037.047.044 (.077) (.072) (.073) (.077) (.076) (.076) Russian empire.280**.267**.308**.287**.280**.289** (.080) (.085) (.076) (.081) (.078) (.080) Ottoman empire.109.175*.121.102.102.104 (.081) (.068) (.079) (.080) (.078) (.078) Other European colony.049.031.017.056.064.072 28

(.055) (.049) (.053) (.056) (.056) (.057) Mean elevation.067#.049.080.065#.075*.084* (.039) (.038) (.049) (.036) (.036) (.036) Log GDP/capita 1914.142*.030.135*.127#.148*.133* (.060) (.057) (.057) (.065) (.057) (.061) Literacy 1920s.005.006.004.009.003.013 (.028) (.025) (.030) (.029) (.026) (.027) PreWWI regime.006.005.007.006.007.008 (.005) (.005) (.005) (.005) (.005) (.005) PreWWI regime*overseas colony.001.010.003.000.003.001 (.006) (.006) (.006) (.006) (.006) (.006) Overseas colony prewwi.248**.104.199**.215**.233**.214** (.062) (.069) (.057) (.070) (.062) (.069) Imperial territory prewwi.307**.197*.348**.299**.285**.301** (.084) (.080) (.086) (.082) (.083) (.087) Muslim majority.109.067.095.086.097.088 (.084) (.074) (.079) (.090) (.086) (.088) Christian majority.099.008.087.090.126.115 (.095) (.090) (.093) (.101) (.101) (.105) Observations 262,299 262,299 262,299 262,299 262,299 262,299 Rsquared.059.065.061.059.060.060 Robust standard errors in parentheses ** p<.01, * p<.05, # p<.1 This table lists the full set of regression results that are summarized in Table 5.2 in the text. 29

Table SA5.3a. Living through Communism and Attitudes toward Markets Full Regression Results (1) (2) (3) (4) (5) (6) (7) (8) Total communist.0106**.0099** (.0009) (.0007) Stalinist total.0004.0119** (.0026) (.0019) NeoStalinist total.0134**.0093** (.0020) (.0015) Posttotalitarian total.0251**.0077** (.0031) (.0021) Reform comm. total.0075**.0101** (.0019) (.0015) Early communist.0050*.0038*.0065*.0064* (.0024) (.0017) (.0032) (.0025) Adult communist.0106**.0099**.0071**.0068** (.0008) (.0007) (.0013) (.0009) Early communist * Adult communist.0004**.0004** (.0001) (.0001) Postcommunist.1024.1862*.0465.0602 (.0887) (.0799) (.0942) (.0957) Age.0023**.0019**.0020**.0019**.0024**.0021**.0023**.0020** (.0004) (.0003) (.0004) (.0003) (.0004) (.0003) (.0004) (.0003) PostSecondary education.2278**.2388**.2373**.2373**.2253**.2364**.2259**.2365** (.0233) (.0193) (.0226) (.0193) (.0232) (.0192) (.0232) (.0192) Secondary education.1462**.1422**.1530**.1405**.1431**.1392**.1438**.1394** (.0201) (.0159) (.0195) (.0157) (.0200) (.0158) (.0199) (.0157) Primary education.0533**.0432**.0554**.0424**.0521**.0418**.0530**.0426** (.0168) (.0135) (.0166) (.0135) (.0167) (.0135) (.0167) (.0135) HH income.0775**.0681**.0703**.0682**.0773**.0677**.0776**.0680** (.0115) (.0088) (.0109) (.0088) (.0116) (.0088) (.0115) (.0088) Town resident.0137.0110.0176.0110.0133.0109.0140.0114 (.0160) (.0120) (.0154) (.0120) (.0160) (.0120) (.0158) (.0120) City resident.0303.0373*.0395#.0375*.0303.0377*.0311.0381* (.0234) (.0162) (.0229) (.0162) (.0234) (.0162) (.0233) (.0162) Large city resident.0262.0543**.0348.0546**.0267.0552**.0274.0558** (.0222) (.0166) (.0214) (.0166) (.0223) (.0166) (.0222) (.0167) Male.1156**.1164**.1158**.1164**.1156**.1163**.1155**.1163** (.0080) (.0079) (.0080) (.0079) (.0080) (.0079) (.0080) (.0079) Urbanization 1920s.4726**.4825**.4734**.4752** (.1322) (.1277) (.1321) (.1314) Landlocked.2099**.2520**.2105**.2087** (.0604) (.0527) (.0603) (.0602) Distance from equator.0005.0010.0006.0006 (.0026) (.0025) (.0026) (.0026) 30

Distance from Greenwich.0006.0006.0006.0006 (.0008) (.0007) (.0008) (.0008) British colony.2334**.2433**.2346**.2349** (.0719) (.0699) (.0719) (.0719) French colony.2235**.2221**.2230**.2227** (.0561) (.0535) (.0560) (.0560) Spanish colony.1426**.1392**.1423**.1431** (.0537) (.0521) (.0536) (.0535) German empire.0476.0746.0473.0482 (.1087) (.0933) (.1083) (.1080) Habsburg empire.0601.0812.0568.0577 (.0874) (.0716) (.0876) (.0874) Russian empire.1916*.0613.1923*.1916* (.0913) (.0945) (.0915) (.0911) Ottoman empire.1080.0523.1085.1080 (.0736) (.0664) (.0737) (.0736) Other European colony.0730.0596.0741.0724 (.0582) (.0555) (.0582) (.0582) Mean elevation.0042.0261.0044.0033 (.0386) (.0353) (.0386) (.0386) Log GDP/capita 1914.1133#.1106#.1132#.1142# (.0609) (.0565) (.0609) (.0609) Literacy 1920s.0120.0062.0107.0122 (.0290) (.0270) (.0289) (.0289) PreWWI regime.0018.0038.0019.0018 (.0052) (.0048) (.0052) (.0052) PreWWI regime*overseas colony.0060.0064.0060.0060 (.0063) (.0057) (.0063) (.0063) Overseas colony prewwi.2280**.2304**.2286**.2288** (.0677) (.0679) (.0678) (.0678) Imperial territory prewwi.1981*.0910.1971*.1961* (.0925) (.0834) (.0926) (.0925) Muslim majority.0828.0631.0835.0848 (.0829) (.0810) (.0829) (.0830) Christian majority.0824.0826.0843.0826 (.0971) (.0947) (.0971) (.0970) Ethnic fractionalization.0762.0797.0769.0779 (.1089) (.0944) (.1087) (.1087) Ctry f.e. No Yes No Yes No Yes No Yes Observations 262,299 262,299 262,299 262,299 262,299 262,299 262,299 262,299 Rsquared.0802.1041.0834.1042.0804.1043.0806.1045 Robust standard errors in parentheses ** p<.01, * p<.05, # p<.1 This table lists the full set of regression results that are summarized in Table 5.3 in the text. 31

Table SA5.3b. Living through Communism and Attitudes toward Markets Hierarchical Linear Model VARIABLES (1) (2) (3) (4) (5) (6) (7) (8) Total communist.0108**.0107** (.0007) (.0007) Stalinist total.0114** NeoStalinist total Posttotalitarian total Reform comm. total Early communist Adult communist Early communist * Adult communist.0118** (.0018) (.0018).0113**.0111** (.0014) (.0014).0107**.0098** (.0018) (.0019).0099**.0100** (.0014) (.0015).0020.0022.0050**.0050** (.0017) (.0017) (.0024) (.0023).0107**.0107**.0086**.0085** (.0007) (.0007) (.0008) (.0008).0003**.0003** (.0001) (.0001) Postcommunist.1469#.1484#.0913.0239 (.0844) (.0866) (.0892) (.0904) Age.0023**.0023**.0024**.0024** (.0003) (.0003) (.0003) (.0003) Urbanization 1920s.4257**.4085**.4261**.4280** (.1152) (.1188) (.1152) (.1147) Landlocked.1617*.1619*.1626*.1617* (.0655) (.0661) (.0656) (.0655) Distance from equator.0004.0003.0003.0004 (.0025) (.0025) (.0025) (.0025) Distance from Greenwich.0012.0012.0012.0012 (.0008) (.0008) (.0008) (.0008) British colony.2459**.2480**.2466**.2465** (.0728) (.0729) (.0728) (.0728) French colony.2349**.2352**.2346**.2343** (.0612) (.0613) (.0611) (.0611) Spanish colony.1345*.1349*.1345*.1350* (.0573) (.0571) (.0572) (.0571) German empire.0780.0765.0781.0782 (.1142) (.1121) (.1138) (.1136) Habsburg empire.0878.0897.0856.0859 (.0864) (.0860) (.0867) (.0865) Russian empire.2520* 32

.2475**.2482**.2471** (.0941) (.1004) (.0943) (.0941) Ottoman empire.1085.1102.1088.1089 (.0750) (.0742) (.0750) (.0749) Other European colony.0866.0895.0878.0866 (.0641) (.0635) (.0641) (.0640) Mean elevation.0206.0186.0210.0201 (.0415) (.0412) (.0415) (.0415) Log GDP/capita 1914.1434**.1463**.1437**.1438** (.0547) (.0543) (.0547) (.0546) Literacy 1920s.0216.0208.0204.0212 (.0274) (.0272) (.0274) (.0273) PreWWI regime.0027.0031.0028.0027 (.0053) (.0052) (.0053) (.0053) PreWWI regime*overseas colony.0064.0067.0064.0064 Overseas colony pre WWI Imperial territory pre WWI (.0063) (.0063) (.0063) (.0063).2239**.2221**.2240**.2240** (.0733) (.0738) (.0732) (.0733).1924*.1912#.1906*.1903* (.0927) (.0979) (.0928) (.0927) Muslim majority.0698.0724.0704.0708 (.0871) (.0873) (.0871) (.0872) Christian majority.0878.0911.0895.0885 (.1026) (.1017) (.1027) (.1027) Ethnic fractionalization.0151.0249.0162.0166 (.1190) (.1172) (.1187) (.1187) PostSecondary education.2328**.2328**.2304**.2303** (.0191) (.0191) (.0190) (.0190) Secondary education.1351**.1349**.1322**.1322** (.0156) (.0155) (.0155) (.0155) Primary education.0423**.0423**.0410**.0415** (.0131) (.0131) (.0131) (.0131) HH income.0750**.0750**.0745**.0747** (.0087) (.0087) (.0087) (.0087) Town resident.0217#.0216#.0216#.0219# (.0113) (.0113) (.0113) (.0113) City resident.0477**.0476**.0481**.0484** (.0158) (.0158) (.0158) (.0158) Large city resident.0561**.0560**.0570**.0573** (.0169) (.0170) (.0170) (.0170) Male.1163**.1162**.1163**.1163** (.0078) (.0078) (.0078) (.0078) Ctry f.e. No Yes No Yes No Yes No Yes Observations 262,299 262,299 262,299 262,299 262,299 262,299 262,299 262,299 Number of groups 201 201 201 201 201 201 201 201 This table replicates Table 5.3 in the text, only using a Hierarchical Linear Model instead of OLS with country clustered standard errors. 33

Table SA5.3c. Living through Communism and Attitudes toward Markets Mediation Analysis Effect Mean [95% Conf. Interval] ACME 0.307 0.331 0.285 Direct Effect 0.103 0.072 0.131 Total Effect 0.204 0.227 0.180 % of Tot Eff mediated 150% 136% 171% This table presents the full mediation analysis for Model 1 of Table 5.3, as referenced in the text on p.150. 34

Table SAE5.1. Questions in Markets Index Now I'd like you to tell me your views on various issues. How would you place your views on this scale? 1 means you agree completely with the statement on the left; 10 means you agree completely with the statement on the right; and if your views fall somewhere in between, you can choose any number in between. Private ownership of business should be increased vs Government ownership of business should be increased The state should give more freedom to firms vs The state should control firms more effectively This table lists the questions used to construct the Markets index in Chapter 5. 35

Table SAE5.2 Communist Exposure and Markets Support: Country Moderators (1) (2) (3) (4) (5) (6) (7) (8) (9) VARIABLES Total communist.0217.0046*.0122**.0107**.0109**.0118**.0124**.0080**.0107** (.0023) (.0138) (.0008) (.0023) (.0008) (.0012) (.0015) (.0013) (.0010) Literacy in 1920s* Total comm.0002 (.0006) Literacy 1920s.0840** (.0324) Precomm GDP/cap* Total comm.0013 (.0018) Precomm GDP/cap.1986* (.0907) Avg. regime score (192039)* Total comm.0003* (.0001) Interwar regime (192039).0253** (.0086) Comm econ growth* Total comm.0019** (.0006) Comm econ growth.0783* (.0383) Native communist regime* Total comm.0026 (.0016) Native communist regime.1037 (.0847) Proportion hardline * Total comm.0002 (.0020) Proportion hardline.0376 (.1239) Comm regime type* Total comm.0005 (.0009) Comm regime type.0052 (.0433) Econ growth 198188* Total comm.0025** (.0008) Econ growth 198188.0250 (.0716) Regime score(1989)* Total comm (.0002) Regime score(1989).0379**.0003 36

(.0073) Age.0031.0031.0031.0031.0031.0031.0031.0031.0031 (.0000) (.0000) (.0000) (.0000) (.0000) (.0000) (.0000) (.0000) (.0000) PostSecondary education.3226**.3253**.3172**.3178**.3161**.3185**.3162**.3339**.3079** (.0454) (.0473) (.0471) (.0497) (.0491) (.0487) (.0500) (.0616) (.0466) Secondary education.1377**.1400**.1345**.1316**.1277**.1298**.1280**.1454**.1260** (.0390) (.0412) (.0403) (.0438) (.0437) (.0431) (.0441) (.0560) (.0406) Primary education.0297.0220.0279.0140.0028.0052.0034.0176.0233 (.0320) (.0325) (.0318) (.0331) (.0346) (.0339) (.0328) (.0414) (.0324) HH income.0790**.0627**.0750**.0552**.0552**.0590**.0573**.0536**.0596** (.0216) (.0215) (.0225) (.0197) (.0207) (.0197) (.0215) (.0202) (.0176) Town resident.0370#.0335#.0395#.0343#.0361#.0328.0338#.0335.0396* (.0203) (.0197) (.0203) (.0200) (.0202) (.0206) (.0205) (.0204) (.0189) City resident.0734*.0717*.0817*.0821*.0878*.0806*.0828*.0848*.0897** (.0326) (.0318) (.0331) (.0339) (.0341) (.0356) (.0346) (.0352) (.0333) Large city resident.1092**.1013**.1064**.1074**.1145**.1103**.1099**.1129**.1281** (.0340) (.0324) (.0331) (.0328) (.0335) (.0353) (.0354) (.0360) (.0322) Male.1607**.1627**.1627**.1640**.1642**.1640**.1643**.1629**.1631** (.0119) (.0116) (.0116) (.0113) (.0111) (.0111) (.0113) (.0111) (.0110) Observations 76,799 76,799 76,799 76,799 76,799 76,799 76,799 76,799 76,799 Robust standard errors in parentheses ** p<.01, * p<.05, # p<.1 This table lists the full regression results used to produce Figure 5.2 in the text 37