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Dynamic Global Games of Regime Change: Learning, Multiplicity and Timing of Attacks


  • George-Marios Angeletos
  • Alessandro Pavan


Global games of regime change–coordination games of incomplete information in which a status quo is abandoned once a sufficiently large fraction of agents attacks it–have been used to study crises phenomena such as currency attacks, bank runs, debt crises, and political change. We extend the static benchmark examined in the literature by allowing agents to take actions in many periods and to learn about the underlying fundamentals over time. We first provide a simple recursive algorithm for the characterization of monotone equilibria. We then show how the interaction of the knowledge that the regime survived past attacks with the arrival of information over time, or with changes in fundamentals, leads to interesting equilibrium properties. First, multiplicity may obtain under the same conditions on exogenous information that guarantee uniqueness in the static benchmark. Second, fundamentals may predict the eventual regime outcome but not the timing or the number of attacks. Finally, equilibrium dynamics can alternate between phases of tranquillity–where no attack is possible–and phases of distress–where a large attack can occur–even without changes in fundamentals.

Suggested Citation

  • George-Marios Angeletos & Alessandro Pavan, 2007. "Dynamic Global Games of Regime Change: Learning, Multiplicity and Timing of Attacks," Discussion Papers 1497, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  • Handle: RePEc:nwu:cmsems:1497

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    References listed on IDEAS

    1. David Frankel & Ady Pauzner, 2000. "Resolving Indeterminacy in Dynamic Settings: The Role of Shocks," The Quarterly Journal of Economics, Oxford University Press, vol. 115(1), pages 285-304.
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    6. Flavio Toxvaerd & Chryssi Giannitsarou, 2004. "Recursive global games," Money Macro and Finance (MMF) Research Group Conference 2003 104, Money Macro and Finance Research Group.
    7. Christophe Chamley, 2003. "Dynamic Speculative Attacks," American Economic Review, American Economic Association, vol. 93(3), pages 603-621, June.
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    13. Iván Werning & George-Marios Angeletos, 2006. "Crises and Prices: Information Aggregation, Multiplicity, and Volatility," American Economic Review, American Economic Association, vol. 96(5), pages 1720-1736, December.
    14. Chris Edmond, 2013. "Information Manipulation, Coordination, and Regime Change," Review of Economic Studies, Oxford University Press, vol. 80(4), pages 1422-1458.
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    More about this item


    Global games; coordination; multiple equilibria; information dynamics; crises.;

    JEL classification:

    • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • F3 - International Economics - - International Finance


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