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Chance of revolts and ability of oppressions: a comment on the Acemoglu-Robinson model

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  • Saito, Tetsuya

Abstract

In the original framework of Professors Acemoglu and Robinson, the government is unable to oppress the revolution once it is brought about. However, actual civil wars are unpredictable. With this notion, I introduce uncertainty depending on military expenditures of the government. Then an interesting argument follows: if the likelihood of successful oppression is sufficiently larger than a certain level of destruction rate and there are cheap-but-effective devices such as biochemicals, citizens in a dictatorial country may have a trade-off between economic prosperity and domestic military threats.

Suggested Citation

  • Saito, Tetsuya, 2010. "Chance of revolts and ability of oppressions: a comment on the Acemoglu-Robinson model," Economics Discussion Papers 2010-7, Kiel Institute for the World Economy (IfW).
  • Handle: RePEc:zbw:ifwedp:20107
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    References listed on IDEAS

    as
    1. Joshua Aizenman & Reuven Glick, 2006. "Military expenditure, threats, and growth," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 15(2), pages 129-155.
    2. Acemoglu,Daron & Robinson,James A., 2009. "Economic Origins of Dictatorship and Democracy," Cambridge Books, Cambridge University Press, number 9780521671422.
    3. Paul Collier & Anke Hoeffler, 2007. "Unintended Consequences: Does Aid Promote Arms Races?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(1), pages 1-27, February.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Military expenditures; Acemoglu-Robinson model; war of attrition;

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • H56 - Public Economics - - National Government Expenditures and Related Policies - - - National Security and War

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