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A Global Model for Forecasting Political InstabilityJack A. GoldstoneGeorge Mason University - School of Public Policy; George Mason University Robert BatesHarvard University - Department of Government David EpsteinColumbia University - Department of Political Science Ted Robert Gurraffiliation not provided to SSRN Michael B. Lustikaffiliation not provided to SSRN Monty G. MarshallGeorge Mason University, School of Public Policy Jay Ulfelderaffiliation not provided to SSRN Mark Woodwardaffiliation not provided to SSRN January 5, 2010 American Journal of Political Science, Vol. 54, No. 1, pp. 190-208, January 2010 GMU School of Public Policy Research Paper No. 2010-09 Abstract: Examining onsets of political instability in countries worldwide from 1955 to 2003, we develop a model that distinguishes countries that experienced instability from those that remained stable with a two-year lead time and over 80% accuracy. Intriguingly, the model uses few variables and a simple specification. The model is accurate in forecasting the onsets of both violent civil wars and nonviolent democratic reversals, suggesting common factors in both types of change. Whereas regime type is typically measured using linear or binary indicators of democracy/ autocracy derived from the 21-point Polity scale, the model uses a nonlinear five-category measure of regime type based on the Polity components. This new measure of regime type emerges as the most powerful predictor of instability onsets, leading us to conclude that political institutions,properly specified, and not economic conditions, demography, or geography, are the most important predictors of the onset of political instability.
Number of Pages in PDF File: 43 Keywords: Forecasting, Instability, Revolution, Civil War, Democracy, Regimes Accepted Paper SeriesDate posted: January 6, 2010 ; Last revised: April 20, 2010Suggested CitationContact Information
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