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Learning-by-Doing, Organizational Forgetting, and Industry Dynanmics

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  • David Besanko
  • Ulrich Doraszelski

Abstract

We analyze a fully dynamic model of price competition when firms face a learning curve and the possibility of organizational forgetting. We show that even though the leader firm may underprice the follower and this price difference may grow as the leader's cost advantage widens, the market may remain unconcentrated in both the short run and long run. Over an interesting range of parameters, organizational forgetting intensifies pricing rivalry and leads to a greater degree of market concentration. By extending the model to include entry and exit, we show that predatory pricing can arise endogenously and that organizational forgetting makes predatory behavior more likely to occur. We develop these insights by employing the framework in Ericson & Pakes (1995) to numerically analyze the Markov perfect equilibria (MPE) in a pricing game in a differentiated products duopoly market. In contrast to recent papers that have employed this framework, we show that there can be multiple symmetric MPE.

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Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 2005 with number 236.

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Date of creation: 11 Nov 2005
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Handle: RePEc:sce:scecf5:236

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Cited by:
  1. Besanko, David & Doraszelski, Ulrich & Lu, Lauren Xiaoyuan & Satterthwaite, Mark, 2008. "Lumpy Capacity Investment and Disinvestment Dynamics," CEPR Discussion Papers 6788, C.E.P.R. Discussion Papers.
  2. Ulrich Doraszelski & Mark Satterthwaite, 2007. "Computable Markov-Perfect Industry Dynamics: Existence, Purification, and Multiplicity," Levine's Bibliography 321307000000000912, UCLA Department of Economics.
  3. Peter Thompson, 2008. "Learning by Doing," Working Papers 0806, Florida International University, Department of Economics.
  4. Borkovsky, RON N. & Doraszelski, Ulrich & Kryukov, Yaroslav, 2008. "A User's Guide to Solving Dynamic Stochastic Games Using the Homotopy Method," CEPR Discussion Papers 6733, C.E.P.R. Discussion Papers.
  5. Ron N. Borkovsky & Ulrich Doraszelski & Yaroslav Kryukov, . "A User''s Guide to Solving Dynamic Stochastic Games Using the Homotopy Method," GSIA Working Papers 2009-E23, Carnegie Mellon University, Tepper School of Business.
  6. Gabriel Y. Weintraub & C. Lanier Benkard & Benjamin Van Roy, 2005. "Markov perfect industry dynamics with many firms," Working Paper Series 2005-23, Federal Reserve Bank of San Francisco.
  7. Gabriel Weintraub & C. Lanier Benkard & Ben Van Roy, 2005. "Markov Perfect Industry Dynamics with Many Firms," NBER Working Papers 11900, National Bureau of Economic Research, Inc.

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