Economic models of reputation make strong assumptions about the information available to players. In particular, it is assumed that they know the entire history of the game to date. Such models can seldom reproduce the cycling of reputations we observe in the real world. We build a model of reputation with more realistic assumptions about the partial knowledge of the history that would be available and how it might be used. This new approach can explain cycles in reputations.
|Date of creation:||01 Sep 2011|
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- Martin W. Cripps & George J. Mailath & Larry Samuelson, 2004.
"Imperfect Monitoring and Impermanent Reputations,"
Econometric Society, vol. 72(2), pages 407-432, March.
- Martin W. Cripps & George J. Mailath & Larry Samuelson, 2002. "Imperfect Monitoring and Impermanent Reputations," PIER Working Paper Archive 03-016, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 30 May 2003.
- Martin Cripps & George J Mailath & Larry Samuelson, 2010. "Imperfect Monitoring and Impermanent Reputations," Levine's Working Paper Archive 618897000000000060, David K. Levine.
- Cripps,M.W. & Mailath,G.J. & Samuelson,L., 2002. "Imperfect monitoring and impermanent reputations," Working papers 17, Wisconsin Madison - Social Systems.
- Liu, Qingmin & Skrzypacz, Andrzej, 2009. "Limited Records and Reputation," Research Papers 2030, Stanford University, Graduate School of Business.
- Ekmekci, Mehmet, 2011.
"Sustainable reputations with rating systems,"
Journal of Economic Theory,
Elsevier, vol. 146(2), pages 479-503, March.
- Mehmet Ekmekci, 2010. "Sustainable Reputations with Rating Systems," Discussion Papers 1505, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- Bar-Isaac, Heski & Tadelis, Steven, 2008. "Seller Reputation," Foundations and Trends(R) in Microeconomics, now publishers, vol. 4(4), pages 273-351, August. Full references (including those not matched with items on IDEAS)
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