Computing Markov-Perfect Nash Equilibria: Numerical Implications of a Dynamic Differentiated Product Model
AbstractIn this article we develop and illustrate a simple algorithm for computing Markov-perfect Nash equilibria. The advantage of the Markov-perfect framework is that it is flexible enough to reproduce important aspects of reality in a variety of market settings. As a result, we hope that our article and (perhaps improved) versions of the associated algorithms will eventually be a part of a tool kit that allows researchers to go back and forth between the implications of economic theory and the characteristics of alternative datasets.
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Bibliographic InfoArticle provided by The RAND Corporation in its journal RAND Journal of Economics.
Volume (Year): 25 (1994)
Issue (Month): 4 (Winter)
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Web page: http://www.rje.org
Other versions of this item:
- Ariel Pakes & Paul McGuire, 1992. "Computing Markov perfect Nash equilibria: numerical implications of a dynamic differentiated product model," Discussion Paper / Institute for Empirical Macroeconomics 58, Federal Reserve Bank of Minneapolis.
- Ariel Pakes & Paul McGuire, 1992. "Computing Markov Perfect Nash Equilibria: Numerical Implications of a Dynamic Differentiated Product Model," NBER Technical Working Papers 0119, National Bureau of Economic Research, Inc.
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- Taylor, John B & Uhlig, Harald, 1990.
"Solving Nonlinear Stochastic Growth Models: A Comparison of Alternative Solution Methods,"
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- Caplin, Andrew & Nalebuff, Barry, 1991.
"Aggregation and Imperfect Competition: On the Existence of Equilibrium,"
Econometric Society, vol. 59(1), pages 25-59, January.
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- Andrew Caplin & Barry Nalebuff, 1990. "Aggregation and Imperfect Competition: On the Existence of Equilibrium," Cowles Foundation Discussion Papers 937, Cowles Foundation for Research in Economics, Yale University.
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