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

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  • David Besanko
  • Ulrich Doraszelski
  • Yaroslav Kryukov
  • Mark Satterthwaite
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    Abstract

    Learning-by-doing and organizational forgetting are empirically important in a variety of industrial settings. This paper provides a general model of dynamic competition that accounts for these fundamentals and shows how they shape industry structure and dynamics. We show that forgetting does not simply negate learning. Rather, they are distinct economic forces that interact in subtle ways to produce a great variety of pricing behaviors and industry dynamics. In particular, a model with learning and forgetting can give rise to aggressive pricing behavior, varying degrees of long-run industry concentration ranging from moderate leadership to absolute dominance, and multiple equilibria. Copyright 2010 The Econometric Society.

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    Bibliographic Info

    Article provided by Econometric Society in its journal Econometrica.

    Volume (Year): 78 (2010)
    Issue (Month): 2 (03)
    Pages: 453-508

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    Handle: RePEc:ecm:emetrp:v:78:y:2010:i:2:p:453-508

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    Cited by:
    1. Carlos J.Pérez & Carlos J.Ponce, 2013. "Disruption costs and the choice of technology," ILADES-Georgetown University Working Papers inv292, Ilades-Georgetown University, Universidad Alberto Hurtado/School of Economics and Bussines.
    2. Della Seta, Marco & Gryglewicz, Sebastian & Kort, Peter M., 2012. "Optimal investment in learning-curve technologies," Journal of Economic Dynamics and Control, Elsevier, vol. 36(10), pages 1462-1476.
    3. Ron Borkovsky & Ulrich Doraszelski & Yaroslav Kryukov, 2012. "A dynamic quality ladder model with entry and exit: Exploring the equilibrium correspondence using the homotopy method," Quantitative Marketing and Economics, Springer, vol. 10(2), pages 197-229, June.
    4. Jeroen Hinloopen & Grega Smrkolj & Florian Wagener, 2013. "In Defense of Trusts: R&D Cooperation in Global Perspective," Tinbergen Institute Discussion Papers 13-045/II, Tinbergen Institute, revised 04 Mar 2014.
    5. Hinloopen, J. & Smrkolj, G. & Wagener, F.O.O., 2011. "From Mind to Market: A Global, Dynamic Analysis of R&D," CeNDEF Working Papers 11-11, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    6. Besanko, David & Doraszelski, Ulrich & Lu, Lauren Xiaoyuan & Satterthwaite, Mark, 2010. "On the role of demand and strategic uncertainty in capacity investment and disinvestment dynamics," International Journal of Industrial Organization, Elsevier, vol. 28(4), pages 383-389, July.
    7. Pilar Beneito & María Engracia Rochina-Barrachina & Amparo Sanchis, 2014. "The Path of R&D Efficiency over Time," Working Papers 1403, Department of Applied Economics II, Universidad de Valencia.
    8. Ron N. Borkovsky & Paul B. Ellickson & Brett R. Gordon & Victor Aguirregabiria & Gardete Pedro, 2014. "Multiplicity of Equilibria and Information Structures in Empirical Games: Challenges and Prospects," Working Papers tecipa-510, University of Toronto, Department of Economics.
    9. Sebastian Kranz, 2012. "Discounted Stochastic Games with Voluntary Transfers," Levine's Working Paper Archive 786969000000000423, David K. Levine.
    10. Ronald Goettler & Brett Gordon, 2014. "Competition and product innovation in dynamic oligopoly," Quantitative Marketing and Economics, Springer, vol. 12(1), pages 1-42, March.
    11. Fudenberg, Drew & Yamamoto, Yuichi, 2011. "The Folk Theorem for Irreducible Stochastic Games with Imperfect Public Monitoring," Scholarly Articles 8896226, Harvard University Department of Economics.
    12. Narajabad, Borghan & Watson, Randal, 2011. "The dynamics of innovation and horizontal differentiation," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 825-842, June.
    13. repec:dgr:uvatin:2011139 is not listed on IDEAS
    14. Luca Colombo & Paola Labrecciosa, 2012. "Inter-firm knowledge diffusion, market power, and welfare," Journal of Evolutionary Economics, Springer, vol. 22(5), pages 1009-1027, November.

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