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A Global Forecasting Model of Political Instability |
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Abstract:
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Prior studies of civil conflict using panel studies or econometric models have provided inconsistent results. This paper presents the results of a new study, using case-control methods, to identify the correlates of political instability from data two years prior to event onset. The models we derive are surprisingly simple, use only open-source annual data, and yet are able to accurately identify states that will or will not experience political instability two years hence with over 80% accuracy in the historical data. This accuracy is consistent across several random samples drawn from the data. Using global data from 1955 to 2003, we examine a wide range of political upheavals, and demonstrate that regime type is overwhelmingly the dominant factor behind revolutions, ethnic wars, and the overthrow of democratic regimes. However, the effect of regime type is not a simple function of the degree of democracy or autocracy. Rather, certain kinds of autocracies and democracies are highly unstable, while other kinds are stable, depending on the detailed institutions and nature of political participation under those regimes. |
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instabl (146), polit (97), model (89), countri (86), democraci (72), year (69), regim (67), variabl (49), data (49), onset (48), faction (43), case (42), factor (42), partial (41), event (40), two (38), war (37), control (36), odd (35), autocraci (34), result (31), |
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Association:
Name: American Political Science Association URL: http://www.apsanet.org
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Citation:
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MLA Citation:
| Goldstone, Jack., Bates, Robet., Gurr, Ted. and Marshall, Monty. "A Global Forecasting Model of Political Instability" Paper presented at the annual meeting of the American Political Science Association, Marriott Wardman Park, Omni Shoreham, Washington Hilton, Washington, DC, Sep 01, 2005 <Not Available>. 2011-03-14 <http://www.allacademic.com/meta/p40360_index.html> |
APA Citation:
| Goldstone, J. A., Bates, R. , Gurr, T. and Marshall, M. , 2005-09-01 "A Global Forecasting Model of Political Instability" Paper presented at the annual meeting of the American Political Science Association, Marriott Wardman Park, Omni Shoreham, Washington Hilton, Washington, DC Online <APPLICATION/PDF>. 2011-03-14 from http://www.allacademic.com/meta/p40360_index.html |
Publication Type: Conference Paper/Unpublished Manuscript Review Method: Peer Reviewed Abstract: Prior studies of civil conflict using panel studies or econometric models have provided inconsistent results. This paper presents the results of a new study, using case-control methods, to identify the correlates of political instability from data two years prior to event onset. The models we derive are surprisingly simple, use only open-source annual data, and yet are able to accurately identify states that will or will not experience political instability two years hence with over 80% accuracy in the historical data. This accuracy is consistent across several random samples drawn from the data. Using global data from 1955 to 2003, we examine a wide range of political upheavals, and demonstrate that regime type is overwhelmingly the dominant factor behind revolutions, ethnic wars, and the overthrow of democratic regimes. However, the effect of regime type is not a simple function of the degree of democracy or autocracy. Rather, certain kinds of autocracies and democracies are highly unstable, while other kinds are stable, depending on the detailed institutions and nature of political participation under those regimes. |
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| Document Type: |
application/pdf |
| Page count: |
39 |
| Word count: |
11225 |
| Text sample: |
| A Global Forecasting Model of Political Instability Jack A. Goldstone George Mason University jgoldsto@gmu.edu Robert H. Bates Harvard University rbates@latte.harvard.edu Ted Robert Gurr University of Maryland College Park trgurr@aol.com Michael Lustik Science Applications International Corporation (SAIC) michael.b.lustik@saic.com Monty G. Marshall George Mason University mmarsha5@gmu.edu Jay Ulfelder Science Applications International Corporation (SAIC) jay_ulfelder@stanfordalumni.org Mark Woodward Arizona State University Mark.Woodward@asu.edu Paper prepared for presentation at the Annual Meeting of the American Political Science Association Washington DC September 1-4 2005. Copyright of |
| Competitiveness of Political Participation Executive Repressed Suppressed Unregulated Factional Transitional Competitive Recruitment (1) (2) (0) (3) (4) (5) (1) Ascription (2) Ascription + Designation (3) Designation Self- (4) Self-Selection (5) Transition Self-Select. from Self-Select. (6) Ascription + Election (7) Transitional or Elec. Restricted Elec. (8) Competitive Election Dark orange = full autocracy; light orange = partial autocracy; light blue = partial democracy; dark blue = full democracy. Based on Executive Recruitment (EXREC) and Competitiveness of Political Participation (PARCOMP) variables |
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