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R&D and Productivity: Estimating Production Functions when Productivity is Endogenous

  • Doraszelski, Ulrich
  • Jaumandreu, Jordi

We develop a simple estimator for production functions in the presence of endogenous productivity change that allows us to retrieve productivity and its relationship with R\&D at the firm level. By endogenizing the productivity process we build on the recent literature on structural estimation of production functions. Our dynamic investment model can be viewed as a generalization of the knowledge capital model (Griliches 1979) that has remained a cornerstone of the productivity literature for more than 25 years. We relax the assumptions on the R\&D process and examine the impact of the investment in knowledge on the productivity of firms. We illustrate our approach on an unbalanced panel of more than 1800 Spanish manufacturing firms in nine industries during the 1990s. Our findings indicate that the link between R&D and productivity is subject to a high degree of uncertainty, nonlinearity, and heterogeneity across firms. By accounting for uncertainty and nonlinearity, we extend the knowledge capital model. Moreover, capturing heterogeneity gives us the ability to assess the role of R&D in determining the differences in productivity across firms and the evolution of firm-level productivity over time.

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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 6636.

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Date of creation: Jan 2008
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Handle: RePEc:cpr:ceprdp:6636
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  1. Griffith, Rachel & Harrison, Rupert & Van Reenen, John, 2004. "How Special is the Special Relationship? Using the Impact of US R&D Spillovers on UK Firms as a Test of Technology Sourcing," CEPR Discussion Papers 4698, C.E.P.R. Discussion Papers.
  2. Rachel Griffith & Stephen Redding & John Van Reenen, 2000. "Mapping the two faces of R&D: productivity growth in a panel of OECD industries," IFS Working Papers W00/02, Institute for Fiscal Studies.
  3. Richard Blundell & Steve Bond, 1999. "GMM estimation with persistent panel data: an application to production functions," IFS Working Papers W99/04, Institute for Fiscal Studies.
  4. Juan José Dolado & Carlos García-Serrano & Juan F. Jimeno, . "Drawing Lessons from the Boom of Temporary Jobs in Spain," Working Papers 2001-11, FEDEA.
  5. Xulia Gonz�lez & Jordi Jaumandreu & Consuelo Pazo, 2005. "Barriers to Innovation and Subsidy Effectiveness," RAND Journal of Economics, The RAND Corporation, vol. 36(4), pages 930-949, Winter.
  6. Simeon Djankov & Rafael La Porta & Florencio Lopez-de-Silanes & Andre Shleifer, 2000. "The Regulation of Entry," Harvard Institute of Economic Research Working Papers 1904, Harvard - Institute of Economic Research.
  7. Jaffe, Adam B, 1986. "Technological Opportunity and Spillovers of R&D: Evidence from Firms' Patents, Profits, and Market Value," American Economic Review, American Economic Association, vol. 76(5), pages 984-1001, December.
  8. Huergo, Elena & Jaumandreu, Jordi, 2004. "Firms' age, process innovation and productivity growth," International Journal of Industrial Organization, Elsevier, vol. 22(4), pages 541-559, April.
  9. Whitney Newey & James Powell & Francis Vella, 1998. "Nonparametric Estimation of Triangular Simultaneous Equations Models," Working papers 98-16, Massachusetts Institute of Technology (MIT), Department of Economics.
  10. Pavcnik, Nina, 2002. "Trade Liberalization, Exit, and Productivity Improvement: Evidence from Chilean Plants," Review of Economic Studies, Wiley Blackwell, vol. 69(1), pages 245-76, January.
  11. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," Harvard Institute of Economic Research Working Papers 1719, Harvard - Institute of Economic Research.
  12. Pilar Beneito, 2001. "R&D productivity and spillovers at the firms level: evidence from Spanish panel data," Investigaciones Economicas, Fundación SEPI, vol. 25(2), pages 289-313, May.
  13. Ariel Pakes & Mark Schankerman, 1984. "An Exploration into the Determinants of Research Intensity," NBER Chapters, in: R&D, Patents, and Productivity, pages 209-232 National Bureau of Economic Research, Inc.
  14. Bronwyn H. Hall and Fumio Hayashi., 1989. "Research and Development as an Investment," Economics Working Papers 89-108, University of California at Berkeley.
  15. Douglas Rivers & Quang Vuong, 2002. "Model selection tests for nonlinear dynamic models," Econometrics Journal, Royal Economic Society, vol. 5(1), pages 1-39, June.
  16. Guido Fioretti, 2005. "The Production Function," Papers physics/0511191, arXiv.org.
  17. Ariel Pakes & Mark Schankerman, 1984. "The Rate of Obsolescence of Patents, Research Gestation Lags, and the Private Rate of Return to Research Resources," NBER Chapters, in: R&D, Patents, and Productivity, pages 73-88 National Bureau of Economic Research, Inc.
  18. Delgado, Miguel A. & Farinas, Jose C. & Ruano, Sonia, 2002. "Firm productivity and export markets: a non-parametric approach," Journal of International Economics, Elsevier, vol. 57(2), pages 397-422, August.
  19. Ackerberg, Daniel & Caves, Kevin & Frazer, Garth, 2006. "Structural identification of production functions," MPRA Paper 38349, University Library of Munich, Germany.
  20. Griliches, Zvi & Regev, Haim, 1995. "Firm productivity in Israeli industry 1979-1988," Journal of Econometrics, Elsevier, vol. 65(1), pages 175-203, January.
  21. Bronwyn H. Hall & Jacques Mairesse, 1992. "Exploring the Relationship Between R&D and Productivity in French Manufacturing Firms," NBER Working Papers 3956, National Bureau of Economic Research, Inc.
  22. Tor Jakob Klette, 1996. "R&D, Scope Economies, and Plant Performance," RAND Journal of Economics, The RAND Corporation, vol. 27(3), pages 502-522, Autumn.
  23. Petia Topalova, 2004. "Trade Liberalization and Firm Productivity; The Case of India," IMF Working Papers 04/28, International Monetary Fund.
  24. Carmine Ornaghi, 2002. "Spillovers In Product And Process Innovation: Evidence From Manufacturing Firms," Economics Working Papers we023213, Universidad Carlos III, Departamento de Economía.
  25. Marc-Andreas Muendler, 2004. "Estimating Production Functions When Productivity Change is Endogenous," CESifo Working Paper Series 1143, CESifo Group Munich.
  26. Robinson, Peter M, 1988. "Root- N-Consistent Semiparametric Regression," Econometrica, Econometric Society, vol. 56(4), pages 931-54, July.
  27. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," Review of Economic Studies, Wiley Blackwell, vol. 70(2), pages 317-341, 04.
  28. Garry F. Barrett & Stephen G. Donald, 2003. "Consistent Tests for Stochastic Dominance," Econometrica, Econometric Society, vol. 71(1), pages 71-104, January.
  29. Whitney K. Newey & James L. Powell, 2003. "Instrumental Variable Estimation of Nonparametric Models," Econometrica, Econometric Society, vol. 71(5), pages 1565-1578, 09.
  30. Ackerberg, Daniel & Lanier Benkard, C. & Berry, Steven & Pakes, Ariel, 2007. "Econometric Tools for Analyzing Market Outcomes," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 63 Elsevier.
  31. Jaumandreu, Jordi & Mairesse, Jacques, 2006. "Using price and demand information to identify production functions," MPRA Paper 1247, University Library of Munich, Germany.
  32. Chunrong Ai & Xiaohong Chen, 2003. "Efficient Estimation of Models with Conditional Moment Restrictions Containing Unknown Functions," Econometrica, Econometric Society, vol. 71(6), pages 1795-1843, November.
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