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Structural identification of production functions


  • Ackerberg, Daniel
  • Caves, Kevin
  • Frazer, Garth


This paper examines some of the recent literature on the identi�cation of production functions. We focus on structural techniques suggested in two recent papers, Olley and Pakes (1996), and Levinsohn and Petrin (2003). While there are some solid and intuitive indenti�cation ideas in these papers, we argue that the techniques, particularly those of Levinsohn and Petrin, su¤er from collinearity problems which we believe cast doubt on the methodology. We then suggest alternative methodologies which make use of the ideas in these papers, but do not su¤er from these collinearity problems.

Suggested Citation

  • Ackerberg, Daniel & Caves, Kevin & Frazer, Garth, 2006. "Structural identification of production functions," MPRA Paper 38349, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:38349

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    References listed on IDEAS

    1. Chiara Criscuolo & Ralf Martin, 2009. "Multinationals and U.S. Productivity Leadership: Evidence from Great Britain," The Review of Economics and Statistics, MIT Press, vol. 91(2), pages 263-281, May.
    2. 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.
    3. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    4. Fernandes, Ana M., 2007. "Trade policy, trade volumes and plant-level productivity in Colombian manufacturing industries," Journal of International Economics, Elsevier, vol. 71(1), pages 52-71, March.
    5. 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.
    6. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
    7. Griliches, Zvi & Hausman, Jerry A., 1986. "Errors in variables in panel data," Journal of Econometrics, Elsevier, vol. 31(1), pages 93-118, February.
    8. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    9. Sivadasan Jagadeesh, 2009. "Barriers to Competition and Productivity: Evidence from India," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 9(1), pages 1-66, September.
    10. Rosa L. Matzkin, 2003. "Nonparametric Estimation of Nonadditive Random Functions," Econometrica, Econometric Society, vol. 71(5), pages 1339-1375, September.
    11. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
    12. Kasahara, Hiroyuki & Rodrigue, Joel, 2008. "Does the use of imported intermediates increase productivity? Plant-level evidence," Journal of Development Economics, Elsevier, vol. 87(1), pages 106-118, August.
    13. Petia Topalova & Amit Khandelwal, 2011. "Trade Liberalization and Firm Productivity: The Case of India," The Review of Economics and Statistics, MIT Press, vol. 93(3), pages 995-1009, August.
    14. Roberto Alvarez & Ricardo López, 2005. "Exporting and performance: evidence from Chilean plants," Canadian Journal of Economics, Canadian Economics Association, vol. 38(4), pages 1384-1400, November.
    15. Adrian Pagan, 1986. "Two Stage and Related Estimators and Their Applications," Review of Economic Studies, Oxford University Press, vol. 53(4), pages 517-538.
    16. Basu, Susanto & Fernald, John G, 1997. "Returns to Scale in U.S. Production: Estimates and Implications," Journal of Political Economy, University of Chicago Press, vol. 105(2), pages 249-283, April.
    17. Johannes van Biesebroeck, 2003. "Productivity Dynamics with Technology Choice: An Application to Automobile Assembly," Review of Economic Studies, Oxford University Press, vol. 70(1), pages 167-198.
    18. Dollar, David & Hallward-Driemeier, Mary & Mengistae, Taye, 2005. "Investment Climate and Firm Performance in Developing Economies," Economic Development and Cultural Change, University of Chicago Press, vol. 54(1), pages 1-31, October.
    19. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," Review of Economic Studies, Oxford University Press, vol. 70(2), pages 317-341.
    20. Blalock, Garrick & Gertler, Paul J., 2004. "Learning from exporting revisited in a less developed setting," Journal of Development Economics, Elsevier, vol. 75(2), pages 397-416, December.
    21. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    22. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
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    More about this item


    Production Functions; Industrial Organization;

    JEL classification:

    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity


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