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Recovering the sunk costs of R&D: the moulds industry case

  • Carlos Daniel Santos
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    Sunk costs for R&D are an important determinant of the level of innovation in the economy. In this paper I recover them using a Markov equilibrium framework. The contribution is twofold. First, a model of industry dynamics which accounts for selection into R&D, capital accumulation and entry/exit is proposed. The industry state is summarized by an aggregate state with the advantage that it avoids the "curse of dimensionality". Second, the estimated sunk costs of R&D for the Portuguese moulds industry are shown to be important (3.4 million Euros). They become particularly relevant since the industry is mostly populated by small firms. Institutional changes in the early 1990s generated an increase in demand from European car makers and created the incentives for firms to pay the costs of investment. Trade-induced innovation reinforced the selection effect by which international trade leads to productivity growth. Finally, using the estimated parameters, simulations evaluate the effects of changes in market size, sunk costs and entry costs.

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    File URL: http://eprints.lse.ac.uk/28689/
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    Paper provided by London School of Economics and Political Science, LSE Library in its series LSE Research Online Documents on Economics with number 28689.

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    Length: 53 pages
    Date of creation: 2009
    Date of revision:
    Handle: RePEc:ehl:lserod:28689
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    1. Philippe Aghion & Nicholas Bloom & Richard Blundell & Rachel Griffith & Peter Howitt, 2002. "Competition and innovation: an inverted U relationship," IFS Working Papers W02/04, Institute for Fiscal Studies.
    2. Pakes, Ariel & McGuire, Paul, 2001. "Stochastic Algorithms, Symmetric Markov Perfect Equilibrium, and the 'Curse' of Dimensionality," Econometrica, Econometric Society, vol. 69(5), pages 1261-81, September.
    3. J. Tirole & E. Maskin, 1982. "A Theory of Dynamic Oligopoly, I: Overview and Quantity Competition with Large-Fixed Costs," Working papers 320, Massachusetts Institute of Technology (MIT), Department of Economics.
    4. Jakob Klette & Samuel Kortum, 2002. "Innovating firms and aggregate innovation," Staff Report 300, Federal Reserve Bank of Minneapolis.
    5. Patrick Bajari & C. Lanier Benkard & Jonathan Levin, 2007. "Estimating Dynamic Models of Imperfect Competition," Econometrica, Econometric Society, vol. 75(5), pages 1331-1370, 09.
    6. Martin Pesendorfer & Philipp Schmidt-Dengler, 2008. "Asymptotic Least Squares Estimators for Dynamic Games -super-1," Review of Economic Studies, Oxford University Press, vol. 75(3), pages 901-928.
    7. Klette, T.J. & Griliches, Z., 1998. "Empirical Patterns of Firm Growth and R&D Investment: a Quality Ladder Model Interpretation," Memorandum 23/1998, Oslo University, Department of Economics.
    8. Gabriel Y. Weintraub & C. Lanier Benkard & Benjamin Van Roy, 2008. "Markov Perfect Industry Dynamics With Many Firms," Econometrica, Econometric Society, vol. 76(6), pages 1375-1411, November.
    9. Krusell, P & Smith Jr, A-A, 1995. "Income and Wealth Heterogeneity in the Macroeconomic," RCER Working Papers 399, University of Rochester - Center for Economic Research (RCER).
    10. Allan Collard-Wexler, 2006. "Plant Turnover and Demand Fluctuations in the Ready-Mix Concrete Industry," Working Papers 06-08, Center for Economic Studies, U.S. Census Bureau.
    11. Vives, Xavier, 2006. "Innovation and competitive pressure," IESE Research Papers D/634, IESE Business School.
    12. Hotz, J.V. & Miller, R.A. & Sanders, S. & Smith, J., 1992. "A Simulation Estimator for Dynamic Models of Discrete Choice," GSIA Working Papers 1992-13, Carnegie Mellon University, Tepper School of Business.
    13. Bee Yan Aw & Mark J. Roberts & Daniel Yi Xu, 2011. "R&D Investment, Exporting, and Productivity Dynamics," American Economic Review, American Economic Association, vol. 101(4), pages 1312-44, June.
    14. Aguirregabiria, Victor & Ho, Chun-Yu, 2009. "A Dynamic Oligopoly Game of the US Airline Industry: Estimation and Policy Experiments," MPRA Paper 16739, University Library of Munich, Germany.
    15. Ariel Pakes & Michael Ostrovsky & Steve Berry, 2004. "Simple Estimators for the Parameters of Discrete Dynamic Games (with Entry/Exit Samples)," NBER Working Papers 10506, National Bureau of Economic Research, Inc.
    16. Fumio Hayashi, 1981. "Tobin's Marginal q and Average a : A Neoclassical Interpretation," Discussion Papers 457, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    17. 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.
    18. Eric Maskin & Jean Tirole, 1997. "Markov Perfect Equilibrium, I: Observable Actions," Harvard Institute of Economic Research Working Papers 1799, Harvard - Institute of Economic Research.
    19. Richard Blundell & Rachel Griffith & John van Reenen, 1999. "Market Share, Market Value and Innovation in a Panel of British Manufacturing Firms," Review of Economic Studies, Oxford University Press, vol. 66(3), pages 529-554.
    20. Ackerberg, Daniel & Caves, Kevin & Frazer, Garth, 2006. "Structural identification of production functions," MPRA Paper 38349, University Library of Munich, Germany.
    21. Nina Pavcnik, 2002. "Trade Liberalization, Exit, and Productivity Improvements: Evidence from Chilean Plants," Review of Economic Studies, Oxford University Press, vol. 69(1), pages 245-276.
    22. Rust, John, 1987. "Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher," Econometrica, Econometric Society, vol. 55(5), pages 999-1033, September.
    23. Joseph E. Stiglitz, 1987. "Technological Change, Sunk Costs, and Competition," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 18(3), pages 883-947.
    24. V. Joseph Hotz & Robert A. Miller, 1993. "Conditional Choice Probabilities and the Estimation of Dynamic Models," Review of Economic Studies, Oxford University Press, vol. 60(3), pages 497-529.
    25. Allan Collard-Wexler, 2006. "Demand Fluctuations and Plant Turnover in the Ready-Mix Concrete Industry," Working Papers 06-25, New York University, Leonard N. Stern School of Business, Department of Economics.
    26. Hopenhayn, Hugo A, 1992. "Entry, Exit, and Firm Dynamics in Long Run Equilibrium," Econometrica, Econometric Society, vol. 60(5), pages 1127-50, September.
    27. Schmalensee, Richard, 1992. "Sunk Costs and Market Structure: A Review Article," Journal of Industrial Economics, Wiley Blackwell, vol. 40(2), pages 125-34, June.
    28. Victor Aguirregabiria & Pedro Mira, 2002. "Swapping the Nested Fixed Point Algorithm: A Class of Estimators for Discrete Markov Decision Models," Econometrica, Econometric Society, vol. 70(4), pages 1519-1543, July.
    29. Thierry Magnac & David Thesmar, 2002. "Identifying Dynamic Discrete Decision Processes," Econometrica, Econometric Society, vol. 70(2), pages 801-816, March.
    30. Avinash Dixit, 1988. "A General Model of R&D Competition and Policy," RAND Journal of Economics, The RAND Corporation, vol. 19(3), pages 317-326, Autumn.
    31. Carlos Daniel Santos, 2009. "Recovering the Sunk Costs of R&D: the Moulds Industry Case," CEP Discussion Papers dp0958, Centre for Economic Performance, LSE.
    32. Aradillas-Lopez, Andres & Tamer, Elie, 2008. "The Identification Power of Equilibrium in Simple Games," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 261-310.
    33. William J. Baumol & Robert D. Willig, 1981. "Fixed Costs, Sunk Costs, Entry Barriers, and Sustainability of Monopoly," The Quarterly Journal of Economics, Oxford University Press, vol. 96(3), pages 405-431.
    34. Jovanovic, Boyan, 1982. "Selection and the Evolution of Industry," Econometrica, Econometric Society, vol. 50(3), pages 649-70, May.
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