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Markov Perfect Industry Dynamics with Many Firms

  • Gabriel Weintraub
  • C. Lanier Benkard
  • Ben Van Roy
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    We propose an approximation method for analyzing Ericson and Pakes (1995)-style dynamic models of imperfect competition. We develop a simple algorithm for computing an ``oblivious equilibrium,'' in which each firm is assumed to make decisions based only on its own state and knowledge of the long run average industry state, but where firms ignore current information about competitors' states. We prove that, as the market becomes large, if the equilibrium distribution of firm states obeys a certain ``light-tail'' condition, then oblivious equilibria closely approximate Markov perfect equilibria. We develop bounds that can be computed to assess the accuracy of the approximation for any given applied problem. Through computational experiments, we find that the method often generates useful approximations for industries with hundreds of firms and in some cases even tens of firms.

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    File URL: http://www.nber.org/papers/w11900.pdf
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    Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 11900.

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    Date of creation: Dec 2005
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    Publication status: published as Weintraub, Gabriel, C. Lanier Benkard and Ben Van Roy. "Markov Perfect Industry Dynamics with Many Firms." Econometrica (Nov 2008): 1375-1411.
    Handle: RePEc:nbr:nberwo:11900
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    1. Caplin, Andrew & Nalebuff, Barry, 1991. "Aggregation and Imperfect Competition: On the Existence of Equilibrium," Econometrica, Econometric Society, vol. 59(1), pages 25-59, January.
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    9. Richard Ericson & Ariel Pakes, 1995. "Markov-Perfect Industry Dynamics: A Framework for Empirical Work," Review of Economic Studies, Oxford University Press, vol. 62(1), pages 53-82.
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    15. repec:rus:hseeco:122439 is not listed on IDEAS
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