310 likes | 398 Views
Where do domestic political institutions come from?. READING ASSIGNMENTS:
E N D
Where do domestic political institutions come from? READING ASSIGNMENTS: Przeworski, Adam, Michael Alvarez, José Antonio Cheibub, and Fernando Limongi. 2000. Democracy and Development: Political Regimes and Economic Well-being in the World, 1950-1990. New York: Cambridge University Press. CHAPTER 2 Boix, Carles and Susan C. Stokes. 2003. Endogenous Democratization. World Politics 55 (4): 517-549 Gassebner, Martin, Michael J. Lamla, and James Raymond Vreeland. 2013. Extreme Bounds of Democracy. Journal of Conflict Resolution 57 (2): 171-197.
Different stories of democracy: • Culturalist • Economic (emergence vs. survival) • Game theoretic: Credible promise/threat & income distribution • Regional Diffusion
Culturalist • The Civic Culture (Almond & Verba 1963) • Cross-national evidence (Inglehart 1988) • Democracy associated with high levels of interpersonal TRUST • Seligson (2002) shows these correlations are spurious • They disappear when PER CAPITA INCOME is controlled for...
Democracy % of pop. saying “most people can be trusted.”
$6,000 $5,000 $4,000 Democracy $3,000 $2,000 $1,000 % of pop. saying “most people can be trusted.”
Modernization theory • Dates back to Lipset (1959) – Correlation between economic development & democracy • Common interpretation: Development Democracy • But the DYNAMICS of regime transitions are ignored! • Przeworksi & Limongi (1997) – Modernization: Theories and Facts • Przeworski, Alvarez, Cheibub & Limongi (2000) – Democracy and Development • (This study is concerned with economic growth – drops oil rich countries – return to this with Boix and Stokes!)
Think DYNAMICALLY • Don’t just look at correlations • Consider • Onset • Continuation
Basic Stata commands • regress y x • regress y x if ylag==0 • regress y x if ylag==1
Credible threat & income distribution(Ross 2001, Rosendorff 2001, Boix 2003, Jensen and Wantchekon 2004, Acemoglu & Robinson 2006) • Democracy an elite-question: • Costs of repression (autocracy) • vs. Costs of income redistribution (democracy) • Income distribution obviously matters (higher income inequality makes repression more attract) • Asset specificity – • oil can’t come with you (Middle East, Nigeria) • education can (India, South Africa)
“That minority still controls the police, the army, and the economy. If we lose them, we cannot address the other issues.”
Recall Pevehouse “Hands-tying” story • How do IO’s get elites to acquiesce? • The problem to solve: • Business elites - fear expropriation under a populist leader • How regional organizations solve the problem: • Economic IO's may make credible the commitment to preserve property rights Temptation to expropriate Populist leader Regional organizations!
Diffusion – an international story • Pevehouse (2002) mechanism: • Regional international organizations • All (international) politics is local (Gleditsch 2002) • Neighborhood effects
A simple guide to How to read basic “regression” results • What is the analysis “explaining”? Dependent variable, usually in the title of the table • What is the unit of analysis? How many observations… of what? (In IO studies, often “country-years”) • What are the independent variables of interest? Main independent variable(s), Control variables • What is the effect of each independent (explanatory) variable? Just ask: Is the “coefficient” positive/negative? • Are the effects statistically significant? • Star-gazing *, **, *** • Is the standard error <1/2 the size of the coefficient? • OR: is the t-stat/z-stat >1.96? • OR: is the p-value<0.05?
Here’s a finding that’s statistically significant in the first model, but NOT ROBUST across the other models.
How robust? • There are many stories of democracy • Empirical implications many variables that purportedly explain democracy • Little consensus – different projects use different specifications • We apply EBA – 59 proposed factors (1.7 + 1.4 million regressions) • EBA is a high standard; variables that fail may matter • Some variables, however, do survive. We suggest that these variables may be the most important factors determining democracy.
Data • Przeworski et al. (2000) Democracy indicator: • “Democracy is a system in which incumbents lose elections.” • Chief executive, legislature face “contested” elections • Ex ante uncertainty, Ex post irreversibility, Repeatability • Explanatory variables: In total we employ 59 previously suggested in the literature • Central variable: GDP per capita (M vector) • Measured in purchasing power parity 1995 US$
Results • The most striking of our findings is that MOST of the variables suggested in the literature do NOT survive EBA.
Results – Emergence of DemocracyTransition from Autocracy to Democracy (robust variables) • GDP/capita does not matter for emergence! • GDP growth does matter but negative!! • Past transitions (positive), OECD (positive), Muslim share (negative), Fuel exports (negative)
Results – Survival of Democracy“Transition” from Democracy to Democracy (robust variables) • GDP/capita matters (positive) • Executive is a former military leader (negative) • Neighboring democracies (positive) • Past transitions (negative)
Final model – Do even these variables survive? • Military leader is co-linear with past transitions • GDP/capita, neighboring democracy, past transitions survive, but “neighbor” marginal effect is not significant (the baseline probability of a democratic survival is 98 percent)
Note on theory • Other variables may indeed matter in well-specified models. • But there is great disagreement on theory, and we choose not to take sides in this project. • Methodologically neutral approach gives stark results. • Few robust determinants of Democracy. • Policy-makers may care most about these…
Assignment Propose a factor that influences democratization. Justify why this factor matters with a logical (theoretical) argument. Test your theory using data. You may use as your base-line model specification, the model of Gassebner et al. (2013), a required reading listed below. RECOMMENDED LENGTH: 500 WORDS + 1 page appendix presenting statistical results. Click here to download the Gassebner et al. (2013) Stata data file and Stata do-file. (Don't worry. The statistical work will be easier than you think! I'll help you.)