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A Global Model for Forecasting Political Instability

Open access
Goldstone, Jack A., Bates, Robert H., Epstein, David L., Gurr, Ted Robert, Lustik, Michael B., Marshall, Monty G., Ulfelder, Jay, Woodward, Mark·2010·American Journal of Political Science

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.

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Show all 7 references

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Metadata

Authors
Goldstone, J. A., Bates, R. H., Epstein, D. L., Gurr, T. R., Lustik, M. B., Marshall, M. G., Ulfelder, J., & Woodward, M.
Venue
American Journal of Political Science
Publisher
Wiley
Published
2009-12-28
Volume
54
Issue
1
Pages
190-208
ISSN
  • 0092-5853 (ISSN-L)
  • 1540-5907
OpenAlex
W2167872858
Cited by
861
References
7
FWCI
94.43
Type
journal article
Language
en
Open access
green

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Goldstone, J. A., Bates, R. H., Epstein, D. L., Gurr, T. R., Lustik, M. B., Marshall, M. G., Ulfelder, J., & Woodward, M. (2010). A Global Model for Forecasting Political Instability. American Journal of Political Science. https://doi.org/10.1111/j.1540-5907.2009.00426.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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