Computing Markov perfect Nash equilibria: numerical implications of a dynamic differentiated product model
In 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.
(This abstract was borrowed from another version of this item.)
|Date of creation:||1992|
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- Lacy Glenn Thomas, 1990. "Regulation and Firm Size: FDA Impacts on Innovation," RAND Journal of Economics, The RAND Corporation, vol. 21(4), pages 497-517, Winter.
- Newey, Whitney K, 1990.
"Efficient Instrumental Variables Estimation of Nonlinear Models,"
Econometric Society, vol. 58(4), pages 809-837, July.
- Newey, W.K., 1989. "Efficient Instrumental Variables Estimation Of Nonlinear Models," Papers 341, Princeton, Department of Economics - Econometric Research Program.
- Taylor, John B & Uhlig, Harald, 1990. "Solving Nonlinear Stochastic Growth Models: A Comparison of Alternative Solution Methods," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(1), pages 1-17, January.
- John B. Taylor & Harald Uhlig, 1989. "Solving Nonlinear Stochastic Growth Models: A Comparison of Alternative Solution Methods," NBER Working Papers 3117, National Bureau of Economic Research, Inc.
- Caplin, Andrew & Nalebuff, Barry, 1991. "Aggregation and Imperfect Competition: On the Existence of Equilibrium," Econometrica, Econometric Society, vol. 59(1), pages 25-59, January.
- 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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