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Estimating Production Functions Using Inputs to Control for Unobservables

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  • James Levinsohn
  • Amil Petrin

Abstract

We introduce a new method for conditioning out serially correlated unobserved shocks to the production technology by building ideas first developed in Olley and Pakes (1996). Olley and Pakes show how to use investment to control for correlation between input levels and the unobserved firm-specific productivity process. We prove that like investment, intermediate inputs (those inputs which are typically subtracted out in a value-added production function) can also solve this simultaneity problem. We highlight three potential advantages to using an intermediate inputs approach relative to investment. Our results indicate that these advantages are empirically important.

Suggested Citation

  • James Levinsohn & Amil Petrin, 2000. "Estimating Production Functions Using Inputs to Control for Unobservables," NBER Working Papers 7819, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:7819
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    References listed on IDEAS

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    1. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," NBER Working Papers 5067, National Bureau of Economic Research, Inc.
    2. Pakes, Ariel & Olley, Steven, 1995. "A limit theorem for a smooth class of semiparametric estimators," Journal of Econometrics, Elsevier, vol. 65(1), pages 295-332, January.
    3. Klette, Tor Jakob & Griliches, Zvi, 1996. "The Inconsistency of Common Scale Estimators When Output Prices Are Unobserved and Endogenous," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(4), pages 343-361, July-Aug..
    4. Sims,Christopher A. (ed.), 1996. "Advances in Econometrics," Cambridge Books, Cambridge University Press, number 9780521566094, September.
    5. Tybout, James & de Melo, Jamie & Corbo, Vittorio, 1991. "The effects of trade reforms on scale and technical efficiency : New evidence from Chile," Journal of International Economics, Elsevier, vol. 31(3-4), pages 231-250, November.
    6. Levinsohn, J. & Petrin, A., 1999. "When Industries Become More Productive, Do Firms?: Investigating Productivity Dynamics," Working Papers 445, Research Seminar in International Economics, University of Michigan.
    7. Basu, Susanto & Fernald, John G., 1995. "Are apparent productive spillovers a figment of specification error?," Journal of Monetary Economics, Elsevier, vol. 36(1), pages 165-188, August.
    8. repec:fth:michin:445 is not listed on IDEAS
    9. 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.
    10. Timothy Dunne & Mark J. Roberts & Larry Samuelson, 1988. "Patterns of Firm Entry and Exit in U.S. Manufacturing Industries," RAND Journal of Economics, The RAND Corporation, vol. 19(4), pages 495-515, Winter.
    11. Robinson, Peter M, 1988. "Root- N-Consistent Semiparametric Regression," Econometrica, Econometric Society, vol. 56(4), pages 931-954, July.
    12. James Levinsohn & Amil Petrin, 1999. "When Industries Become More Productive, Do Firms?," NBER Working Papers 6893, National Bureau of Economic Research, Inc.
    13. Roberts, Mark J & Tybout, James R, 1997. "The Decision to Export in Colombia: An Empirical Model of Entry with Sunk Costs," American Economic Review, American Economic Association, vol. 87(4), pages 545-564, September.
    14. Sims,Christopher A. (ed.), 1996. "Advances in Econometrics," Cambridge Books, Cambridge University Press, number 9780521566100, September.
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