GMM Estimation with persistent panel data: an application to production functions

Richard Blundell () and Stephen Bond

Econometric Reviews, 2000, vol. 19, issue 3, 321-340

Abstract: This paper considers the estimation of Cobb-Douglas production functions using panel data covering a large sample of companies observed for a small number of time periods. GMM estimatorshave been found to produce large finite-sample biases when using the standard first-differenced estimator. These biases can be dramatically reduced by exploiting reasonable stationarity restrictions on the initial conditions process. Using data for a panel of R&Dperforming US manufacturing companies we find that the additional instruments used in our extended GMM estimator yield much more reasonable parameter estimates.

Keywords: panel data; GMM; production functions (search for similar items in EconPapers)
Date: 2000
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Working Paper: GMM estimation with persistent panel data: an application to production functions (1999)
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DOI: 10.1080/07474930008800475

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