Estimation of the CES Production Function with Biased Technical Change: A Control Function Approach

Working Papers of BETA from Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg

Abstract: In this paper, I extend the Olley-Pakes (1996) estimation method to the CES production function with biased technical change. The new semi-parametric approach allows consistent estimation of the degree of returns to scale, the elasticity of substitution, and the bias in technical change. Identification of these parameters is achieved under the assumption that the data generating process reflects not only technologies but also optimizing behavior of producers. Using data from U.S. manufacturing industries over the period 1958-2005, I find strong evidence that industries are characterized by a production technology with the elasticity of substitution below one and with significant biased technical progress.

Keywords: Semi-parametric estimation; Panel data analysis; Returns to scale; Elasticity of substitution; Factor-augmenting technical change; Industry-level studies. (search for similar items in EconPapers)
JEL-codes: C14 C23 D24 O30 (search for similar items in EconPapers)
Date: 2012
New Economics Papers: this item is included in nep-eff
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:ulp:sbbeta:2012-20

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