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Learning-by-Doing and Cannibalization Effects at Multi-Vintage Firms: Evidence from the Semiconductor Industry

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  • Siebert, Ralph Bernd

Abstract

Previous studies on the measurement of learning-by-doing emphasize the importance of accounting for multi-vintage effects having an impact on firms’ production costs through economies of scope. This study shows that accounting for cannibalization effects on the demand side is equally important for the adequate measurement of learning. Since multi-vintage firms anticipate the demand-side cannibalization effects in their production optimization, a previously omitted incentive to decrease production is captured having an impact on the measurement of learning by doing. We derive an empirical model from a dynamic oligopoly game of learning-by-doing and allow cannibalization effects to enter from the demand side. Using quarterly firm-level data for the dynamic random access memory semiconductor industry, we find support for cannibalization effects entering firms’ pricing relations resulting in higher estimated learning effects.

Suggested Citation

  • Siebert, Ralph Bernd, 2010. "Learning-by-Doing and Cannibalization Effects at Multi-Vintage Firms: Evidence from the Semiconductor Industry," MPRA Paper 24008, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:24008
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    1. John A. Norton & Frank M. Bass, 1987. "A Diffusion Theory Model of Adoption and Substitution for Successive Generations of High-Technology Products," Management Science, INFORMS, vol. 33(9), pages 1069-1086, September.
    2. Iwata, Gyoichi, 1974. "Measurement of Conjectural Variations in Oligopoly," Econometrica, Econometric Society, vol. 42(5), pages 947-966, September.
    3. Gruber, Harald, 1996. "Trade policy and learning by doing: the case of semiconductors," Research Policy, Elsevier, vol. 25(5), pages 723-739, August.
    4. 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.
    5. Ronald S. Jarmin, 1994. "Learning by Doing and Competition in the Early Rayon Industry," RAND Journal of Economics, The RAND Corporation, vol. 25(3), pages 441-454, Autumn.
    6. Miravete, Eugenio J., 2003. "Time-consistent protection with learning by doing," European Economic Review, Elsevier, vol. 47(5), pages 761-790, October.
    7. Mussa, Michael & Rosen, Sherwin, 1978. "Monopoly and product quality," Journal of Economic Theory, Elsevier, vol. 18(2), pages 301-317, August.
    8. Irwin, Douglas A & Klenow, Peter J, 1994. "Learning-by-Doing Spillovers in the Semiconductor Industry," Journal of Political Economy, University of Chicago Press, vol. 102(6), pages 1200-1227, December.
    9. Nile W. Hatch & David C. Mowery, 1998. "Process Innovation and Learning by Doing in Semiconductor Manufacturing," Management Science, INFORMS, vol. 44(11-Part-1), pages 1461-1477, November.
    10. Russell Davidson & James MacKinnon, 2000. "Bootstrap tests: how many bootstraps?," Econometric Reviews, Taylor & Francis Journals, vol. 19(1), pages 55-68.
    11. Amir Heiman & Bruce McWilliams & Zhihua Shen & David Zilberman, 2001. "Learning and Forgetting: Modeling Optimal Product Sampling Over Time," Management Science, INFORMS, vol. 47(4), pages 532-546, April.
    12. Steven T. Berry, 1994. "Estimating Discrete-Choice Models of Product Differentiation," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 242-262, Summer.
    13. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    14. Zulehner, Christine, 2003. "Testing dynamic oligopolistic interaction: evidence from the semiconductor industry," International Journal of Industrial Organization, Elsevier, vol. 21(10), pages 1527-1556, December.
    15. A. M. Spence, 1981. "The Learning Curve and Competition," Bell Journal of Economics, The RAND Corporation, vol. 12(1), pages 49-70, Spring.
    16. Drew Fudenberg & Jean Tirole, 1983. "Learning-by-Doing and Market Performance," Bell Journal of Economics, The RAND Corporation, vol. 14(2), pages 522-530, Autumn.
    17. Arellano, Manuel, 2003. "Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780199245291.
    18. Stokey, Nancy L, 1988. "Learning by Doing and the Introduction of New Goods," Journal of Political Economy, University of Chicago Press, vol. 96(4), pages 701-717, August.
    19. Drew Fudenberg & Jean Tirole, 1991. "Game Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262061414.
    20. Mark J. Roberts & Larry Samuelson, 1988. "An Empirical Analysis of Dynamic, Nonprice Competition in an Oligopolistic Industry," RAND Journal of Economics, The RAND Corporation, vol. 19(2), pages 200-220, Summer.
    21. Ana Aizcorbe & Samuel Kortum, 2005. "Moore's Law and the Semiconductor Industry: A Vintage Model," Scandinavian Journal of Economics, Wiley Blackwell, vol. 107(4), pages 603-630, December.
    22. Pankaj Ghemawat & A. Michael Spence, 1985. "Learning Curve Spillovers and Market Performance," The Quarterly Journal of Economics, Oxford University Press, vol. 100(Supplemen), pages 839-852.
    23. Cohen, Wesley M & Levinthal, Daniel A, 1989. "Innovation and Learning: The Two Faces of R&D," Economic Journal, Royal Economic Society, vol. 99(397), pages 569-596, September.
    24. Glen L. Urban & Philip L. Johnson & John R. Hauser, 1984. "Testing Competitive Market Structures," Marketing Science, INFORMS, vol. 3(2), pages 83-112.
    25. Rebecca Achee Thornton & Peter Thompson, 2001. "Learning from Experience and Learning from Others: An Exploration of Learning and Spillovers in Wartime Shipbuilding," American Economic Review, American Economic Association, vol. 91(5), pages 1350-1368, December.
    26. ANDERSON, Simon P. & de PALMA, André & THISSE, Jacques-François, 1992. "Interpretations of the logit discrete choice models and the theory of product differentiation," LIDAM Reprints CORE 1017, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    27. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    28. Frank Verboven, 1996. "International Price Discrimination in the European Car Market," RAND Journal of Economics, The RAND Corporation, vol. 27(2), pages 240-268, Summer.
    29. C. Lanier Benkard, 2000. "Learning and Forgetting: The Dynamics of Aircraft Production," American Economic Review, American Economic Association, vol. 90(4), pages 1034-1054, September.
    30. Kenneth Flamm, 1993. "Measurement of DRAM Prices: Technology and Market Structure," NBER Chapters, in: Price Measurements and Their Uses, pages 157-206, National Bureau of Economic Research, Inc.
    31. Bresnahan, Timothy F., 1989. "Empirical studies of industries with market power," Handbook of Industrial Organization, in: R. Schmalensee & R. Willig (ed.), Handbook of Industrial Organization, edition 1, volume 2, chapter 17, pages 1011-1057, Elsevier.
    32. Minjae Song, 2007. "Measuring consumerwelfareinthe CPU market: anapplication of the pure-characteristics demand model," RAND Journal of Economics, RAND Corporation, vol. 38(2), pages 429-446, June.
    33. Linda Argote & Sara L. Beckman & Dennis Epple, 1990. "The Persistence and Transfer of Learning in Industrial Settings," Management Science, INFORMS, vol. 36(2), pages 140-154, February.
    34. Dick, Andrew R, 1991. "Learning by Doing and Dumping in the Semiconductor Industry," Journal of Law and Economics, University of Chicago Press, vol. 34(1), pages 133-159, April.
    35. Marvin B. Lieberman, 1984. "The Learning Curve and Pricing in the Chemical Processing Industries," RAND Journal of Economics, The RAND Corporation, vol. 15(2), pages 213-228, Summer.
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    Cited by:

    1. Jeremiah Harris & Ralph Siebert, 2015. "Driven by the Discount Factor: Impact of Mergers on Market Performance in the Semiconductor Industry," CESifo Working Paper Series 5199, CESifo.
    2. Ralph B. Siebert, 2019. "Estimating Differential Dynamic Merger Effects on Market Structure and Entry in Related Markets," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 55(3), pages 431-458, November.
    3. Harris, Jeremiah & Siebert, Ralph, 2017. "Firm-specific time preferences and postmerger firm performance," International Journal of Industrial Organization, Elsevier, vol. 53(C), pages 32-62.
    4. Ana Espínola-Arredondo & Félix Muñoz-García, 2013. "Uncovering Entry Deterrence in the Presence of Learning-by-Doing," Journal of Industry, Competition and Trade, Springer, vol. 13(3), pages 319-338, September.
    5. Ralph Siebert, 2017. "Heterogeneous Merger Impacts on Competitive Outcomes," CESifo Working Paper Series 6607, CESifo.
    6. Siebert, Ralph Bernd, 2017. "A structural model on the impact of prediscovery licensing and research joint ventures on innovation and product market efficiency," International Journal of Industrial Organization, Elsevier, vol. 54(C), pages 89-124.

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    More about this item

    Keywords

    Dynamic Random Access Memory; Dynamics; Economies of Scale; Learning by Doing; Multiproduct Firms; Product Life Cycle; Semiconductors;
    All these keywords.

    JEL classification:

    • L0 - Industrial Organization - - General
    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • D00 - Microeconomics - - General - - - General

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