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Recursive Global Games

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  • Toxvaerd, Flavio
  • Giannitsarou, Chryssi

Abstract

The present paper contributes to the literature on dynamic games with strategic complementarities, in two interrelated ways. First, we identify a class of dynamic complete information games in which intertemporal complementarities and multiple equilibria can be fruitfully analyzed. Second, we extend the analysis to an incomplete information framework, where results from the literature on global games can be applied to select a unique Markov perfect equilibrium in monotone strategies.

Suggested Citation

  • Toxvaerd, Flavio & Giannitsarou, Chryssi, 2007. "Recursive Global Games," CEPR Discussion Papers 6470, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:6470
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    Cited by:

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    2. Barbieri, Stefano & Mattozzi, Andrea, 2009. "Membership in citizen groups," Games and Economic Behavior, Elsevier, vol. 67(1), pages 217-232, September.
    3. Huanxing Yang, 2010. "Information aggregation and investment cycles with strategic complementarity," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 43(2), pages 281-311, May.
    4. George-Marios Angeletos & Christian Hellwig & Alessandro Pavan, 2007. "Dynamic Global Games of Regime Change: Learning, Multiplicity, and the Timing of Attacks," Econometrica, Econometric Society, vol. 75(3), pages 711-756, May.
    5. George-Marios Angeletos & Christian Hellwig & Alessandro Pavan, 2004. "Information Dynamics and Equilibrium Multiplicity in Global Games of Regime Change," NBER Working Papers 11017, National Bureau of Economic Research, Inc.
    6. Chong Huang, 2018. "Coordination and social learning," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 65(1), pages 155-177, January.
    7. Christian Hellwig, 2004. "Dynamic Global Games of Regime Change: Learning, Multiplicity and Timing of Attacks (August 2006, with George-Marios Angeletos and Alessandro Pavan)," UCLA Economics Online Papers 279, UCLA Department of Economics.
    8. Chong Huang, 2011. "Coordination and Social Learning," PIER Working Paper Archive 11-021, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    9. Angeletos, G.-M. & Lian, C., 2016. "Incomplete Information in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1065-1240, Elsevier.
    10. Huang, Chong, 2017. "Defending against speculative attacks: The policy maker's reputation," Journal of Economic Theory, Elsevier, vol. 171(C), pages 1-34.
    11. Romeo Matthew Balanquit, 2016. "Threshold Bank-run Equilibrium in Dynamic Games," UP School of Economics Discussion Papers 201607, University of the Philippines School of Economics.
    12. Sylvain Chassang & Gerard Padró I Miquel, 2010. "Conflict and Deterrence Under Strategic Risk," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(4), pages 1821-1858.
    13. George-Marios Angeletos & Chen Lian, 2016. "Incomplete Information in Macroeconomics: Accommodating Frictions in Coordination," NBER Working Papers 22297, National Bureau of Economic Research, Inc.
    14. Yamin Ahmad & Pietro Cova & Rodrigo Harrison, 2004. "Foreign Direct Investment versus Portfolio Investment : A Global Games Approach," Working Papers 05-03, UW-Whitewater, Department of Economics.
    15. Steiner, Jakub, 2008. "Coordination cycles," Games and Economic Behavior, Elsevier, vol. 63(1), pages 308-327, May.
    16. COLLA, Paolo & GARCIA, Filomena, 2004. "Technology adoption with forward looking agents," LIDAM Discussion Papers CORE 2004041, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    17. Chong Huang, 2011. "Defending Against Speculative Attacks: Reputation, Learning, and Coordination," PIER Working Paper Archive 11-039, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.

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    More about this item

    Keywords

    Dynamic global games; Dynamic supermodular games; Endogenous cycles;
    All these keywords.

    JEL classification:

    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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