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Production function estimation in Stata using inputs to control for unobservables

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Author Info

  • Amil Petrin

    (University of Chicago)

  • Brian P. Poi

    (StataCorp)

  • James Levinsohn

    (University of Michigan)

Abstract

A key issue in the estimation of production functions is the correlation between unobservable productivity shocks and input levels. Profit-maximizing firms respond to positive productivity shocks by expanding output, which requires additional inputs. Negative shocks lead firms to pare back output, decreasing their input usage. Olley and Pakes (1996) develop an estimator that uses investment as a proxy for these unobservable shocks. More recently, Levinsohn and Petrin (2003a) introduce an estimator that uses intermediate inputs as proxies, arguing that intermediates may respond more smoothly to productivity shocks. This paper reviews Levinsohn and Petrin's approach and introduces a Stata command that implements it. Copyright 2004 by StataCorp LP.

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Bibliographic Info

Article provided by StataCorp LP in its journal Stata Journal.

Volume (Year): 4 (2004)
Issue (Month): 2 (June)
Pages: 113-123

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Handle: RePEc:tsj:stataj:v:4:y:2004:i:2:p:113-123

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Related research

Keywords: levpet; production functions; productivity; endogeneity; GMM estimator;

References

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  1. James Levinsohn & Amil Petrin, 2000. "Estimating Production Functions Using Inputs to Control for Unobservables," NBER Working Papers 7819, National Bureau of Economic Research, Inc.
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