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Cooperation Dynamic in Repeated Games of Adverse Selection

Listed author(s):
  • Juan F. Escobar
  • Gastón Llanes

    ()

We study a class of repeated games with Markovian private information and characterize optimal equilibria as players become arbitrarily patient. We show that seemingly non-cooperative action may occur in equilibrium and serve as signals of changes in private information. Players forgive such actions, and use the information they convey to adjust their continuation play. However, to forgive is not to forget: players keep track of the number of aggressions and enter into a punishment phase if that number becomes suspiciously high. Our model explains features of long-run relationships that are only barely understood, such as equilibrium defaults, unilateral price cuts, collusive price leadership, graduated sanctions, and restitutions. We also explore a model in which interactions are frequent and show how increasing the persistence of the process of types reduces informational fictions. Key words: Keywords: Repeated games, adverse selection, signaling, tacit collusion, price leadership, price cuts, equilibrium defaults, graduated sanctions.

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File URL: http://www.dii.uchile.cl/~cea/sitedev/cea/www/download.php?file=documentos_trabajo/ASOCFILE120150408163402.pdf
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Paper provided by Centro de Economía Aplicada, Universidad de Chile in its series Documentos de Trabajo with number 311.

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Date of creation: 2015
Handle: RePEc:edj:ceauch:311
Contact details of provider: Web page: http://www.dii.uchile.cl/cea/

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  1. Robert Clark & Jean-Fran?ois Houde, 2013. "Collusion with Asymmetric Retailers: Evidence from a Gasoline Price-Fixing Case," American Economic Journal: Microeconomics, American Economic Association, vol. 5(3), pages 97-123, August.
  2. Renault, Jérôme & Solan, Eilon & Vieille, Nicolas, 2013. "Dynamic sender–receiver games," Journal of Economic Theory, Elsevier, vol. 148(2), pages 502-534.
  3. Liu, Qingmin & Skrzypacz, Andrzej, 2014. "Limited records and reputation bubbles," Journal of Economic Theory, Elsevier, vol. 151(C), pages 2-29.
  4. Drew Fudenberg & Jean Tirole, 1991. "Game Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262061414, January.
  5. Juan F. Escobar & Juuso Toikka, 2013. "Efficiency in Games With Markovian Private Information," Econometrica, Econometric Society, vol. 81(5), pages 1887-1934, 09.
  6. David Genesove & Wallace P. Mullin, 2001. "Rules, Communication, and Collusion: Narrative Evidence from the Sugar Institute Case," American Economic Review, American Economic Association, vol. 91(3), pages 379-398, June.
  7. Renou, Ludovic & Tomala, Tristan, 2015. "Approximate implementation in Markovian environments," Journal of Economic Theory, Elsevier, vol. 159(PA), pages 401-442.
  8. George J. Mailath & Volker Nocke & Lucy White, 2004. "When the Punishment Must Fit the Crime: Remarks on the Failure of Simple Penal Codes in Extensive-Form Games," PIER Working Paper Archive 04-039, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
  9. Fudenberg, Drew & Maskin, Eric, 1986. "The Folk Theorem in Repeated Games with Discounting or with Incomplete Information," Econometrica, Econometric Society, vol. 54(3), pages 533-554, May.
  10. Mouraviev, Igor & Rey, Patrick, 2011. "Collusion and leadership," International Journal of Industrial Organization, Elsevier, vol. 29(6), pages 705-717.
  11. Kalai, Ehud & Samet, Dov & Stanford, William, 1988. "A Note on Reactive Equilibria in the Discounted Prisoner's Dilemma and Associated Games," International Journal of Game Theory, Springer;Game Theory Society, vol. 17(3), pages 177-186.
  12. Daron Acemoglu & Alexander Wolitzky, 2014. "Cycles of Conflict: An Economic Model," American Economic Review, American Economic Association, vol. 104(4), pages 1350-1367, April.
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