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Terrorism and Cabinet Duration: An Empirical Analysis

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  • Martin Gassebner
  • Richard Jong-A-Pin
  • Jochen O. Mierau

Abstract

We examine the relationship between terrorism and cabinet duration. Our data set includes more than 2,400 cabinets in over 150 countries in the period 1968-2002. We find a small, but significant effect of terrorism on the probability of government failure. Furthermore, we find that the impact of terrorism depends on the type of attack and is larger in case of more severe attacks. Marginal effect calculations show that the impact of terror on cabinet duration is larger than the impact of economic variables such as economic growth, but less than the impact of a civil war or a government crisis. Our results suggest that cabinets in countries with high levels of terrorism are particularly vulnerable to terrorist attacks.

Suggested Citation

  • Martin Gassebner & Richard Jong-A-Pin & Jochen O. Mierau, 2007. "Terrorism and Cabinet Duration: An Empirical Analysis," KOF Working papers 07-181, KOF Swiss Economic Institute, ETH Zurich.
    • Handle: RePEc:kof:wpskof:07-181
    DOI: 10.3929/ethz-a-005502879
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    Other versions of this item:

    • Martin Gassebner & Richard Jong‐A‐Pin & Jochen O. Mierau, 2011. "Terrorism And Cabinet Duration," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 52(4), pages 1253-1270, November.

    References listed on IDEAS

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    More about this item

    Keywords

    Terror; Political stability; Cabinet dissolution;
    All these keywords.

    JEL classification:

    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • F59 - International Economics - - International Relations, National Security, and International Political Economy - - - Other
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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