Repeated games with Stochastic Discounting
AbstractThis paper provides folk theorems for infinitely repeated games where the discount factor is stochastic. When discount factors are independently distributed and the current discount factor is unobservable prior to current actions, standard trigger strategies support a 'full' folk theorem when the infimum of the mean of the sequence of discount factors is sufficiently close to one. When players choose actions in each period after having observed the current discount factor, this result breaks down; payoffs on the boundary of the set of individually rational payoffs are unobtainable as Nash equilibrium average payoffs to the supergame. In order to highlight the impact of stochastic discounting on the analysis of supergames, we provide the stochastic discounting analogue to Friedman's perfect folk theorem. Copyright 1996 by The London School of Economics and Political Science.
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Bibliographic InfoPaper provided by Pennsylvania State - Department of Economics in its series Papers with number 9-91-5.
Length: 15 pages
Date of creation: 1991
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Postal: PENNSYLVANIA STATE UNIVERSITY, DEPARTMENT OF ECONOMICS, UNIVERSITY PARK PENNSYLVANIA 16802 U.S.A.
Web page: http://econ.la.psu.edu/
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game theory ; economic models;
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- Pedro Dal B�, 2005.
"Cooperation under the Shadow of the Future: Experimental Evidence from Infinitely Repeated Games,"
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- Pedro Dal Bó, 2002. "Cooperation Under the Shadow of the Future: Experimental Evidence from Infinitely Repeated Games," Working Papers 2002-20, Brown University, Department of Economics.
- Barlo, Mehmet & Urgun, Can, 2011. "Stochastic discounting in repeated games: Awaiting the almost inevitable," MPRA Paper 28537, University Library of Munich, Germany.
- Huw Dixon & Joshy Easaw, 2001. "Strategic Responses to Regulatory Policies: What Lessons Can Be Learned from the U.K. Contract Gas Market?," Review of Industrial Organization, Springer, vol. 18(4), pages 379-396, June.
- Pedro Dal Bo, 2002. "Three Essays on Repeated Games," Levine's Working Paper Archive 618897000000000038, David K. Levine.
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