Democratic Transitions David Epstein, Robert Bates, Jack Goldstone, Ida Kristensen, Sharyn O’Halloran.

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Presentation transcript:

Democratic Transitions David Epstein, Robert Bates, Jack Goldstone, Ida Kristensen, Sharyn O’Halloran

In the News… Building democracy is getting new levels of scrutiny in the popular press Afghanistan Built off existing institutions (loya jirga) Still, no real national government (“warlords”) Iraq One justification for war was to establish a democratic government in the Middle East But a long interim gov’t may be needed first

Big Questions How do you establish democracy? What keeps democratic governments from sliding into autocracy/chaos? “Home-grown” vs. Imported democracy How do you get non-violent transitions? If democracy=elections, is this even a good thing for developing polities? Zakaria – “Illiberal Democracies”

Institutions vs. institutions We have certain outcomes that we want a political system to deliver Policy that reflects public opinion Public officials responsive to their constituents Protection for minorities, esp. ethnic Rule of Law via a fair, efficient court system Uncorrupt bureaucracy These are Institutions Really, objectives of the system

Institutions vs. institutions We know little about what institutions can provide these in different settings Parliamentary vs. Presidential systems Federalism and/or corporatism Electoral rules and campaign finance laws Like economic institutions in China We have some examples of what fully developed, stable democracies look like But how to reach this destination?

This Paper Try to look at how countries have democratized in the past Review existing theories Present some new data and methods Look at the results and their implications Speculate about how these trends are changing in the 21 st Century What, if anything, can the international community do to help?

Quick Peek at the Results Results Modernization theory holds up well Positive income effects at all levels of democratization Also some support for inequality effects Casts spotlight on partial democracies Numerous Most volatile Hardest to predict/understand

Modernization Theory Lipset (1959) – Money matters Higher income per capita is associated with democratic governance Supported by evidence until… Przeworski, et. al. (PACL, 2000) Positive results were due to over- aggregation of data Separate into democracies and all others Nothing predicts transitions up Once up, per capita income of over $4,000 helps keep things stable

Other Theories Acemoglu & Robinson (2003) Transitions are economically based, as they redistribute income from rich to poor Nonlinear impact of inequality on transitions Rosendorff (2001) Inequality as well, plus increases in workforce and capital stock make revolutions less likely Haggard & Kaufman (1995) Inflation & low growth: transitions out of autocracy Schmitter, O’Donnell – Consolidation Factors promoting transition could make it fragile

Data: Partial Democracies PACL employ a dichotomous regime type Democracy if: Chief executive elected Legislature exists and is elected More than one political party At least one successful transition of power Autocracy otherwise We employ a trichotomous measure, including partial democracy

Distribution of Polity Scores Fraction Polity Score

Distribution of Polity Scores Fraction Polity Score Autocracy

Distribution of Polity Scores Fraction Polity Score Autocracy Full Democ.

Distribution of Polity Scores Fraction Polity Score Autocracy Full Democ. Partial Democ.

World Democratization Trends,

Regional Democratization Trends, South America Europe Australia AfricaAsia North & Central America

Transition Frequencies A D P APD Year

Transition Frequencies A D P APD A D P APD Year 5-Year

APAPADAD Autocracy year year PDPD PAPA Partial Dem. year year DADADPDP Democracy year year obs. 16 obs.14 obs. 44 obs.25 obs. 22 obs. Transition Frequencies by Type and Year

Data: Previous Transitions Previous attempts at transition may affect success of current attempt Is it like: Trying to quite smoking (+); or A sign of structural instability (-) Hard to capture this systematically We use “Sumdown,” the sum of previous downward Polity movements Example: Turkey,

Polity Scale Year Polity Score PrevTrans Illustration of PrevTrans Variable for Turkey,

Data: Inequality Plays a big role in many stories, including Acemoglu and Robinson Previous measures are rather incomplete Even Denninger and Squire agree with this We create a new measure Idea: infant mortality is caused by both health conditions & inequality So regress IM on health correlates and take the residual as a measure of inequality

Infant Mortality Residual vs. Gini Coefficient

Econometric Approaches Tobit Traditional regression approach, using full data range But with limits at –10 and 10 Markov Breaks data into three categories: autocracy, partial democracy, full democracy Looks at impact of variables on transition probabilities Duration Analysis Analyzes length of time until a given transition occurs

Predictions Modernization: GDP/capita (+) Acemoglu & Robinson: Inequality (-), Inequality 2 (-) Rosendorff: Inequality (-),  Workforce (-),  CapitalStock (-) Haggard & Kaufmann: GDP growth (+), inflation(-) Consolidation: non-monotone hazard

Markov Analysis GDP/cap Inequality Previous Attempts AutocracyPartialDemocracy

Duration Analysis Question: What prevents newly democratized countries from backsliding? Different from the question of what gets them democratic in the first place Can ask this for full or partial democracies I.e., most newly democratized nations will start off as partial democracies Tricky estimation, since we have repeated events (can democratize more than once)

Conclusion Modernization theory holds up well With 3-way dependent variable, income level does predict transitions out of autocracy Helps keep partials from backsliding Acemoglu and Robinson get some support Focus debate on partial democracies Increasingly common Most volatile Hardest to predict

Markov Analysis Variable Probability Autocracy Partial Dem. Full Democracy