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Estimation of Factor Augmenting Technical Change: The Case of US Agriculture

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Author Info
Subal C. Kumbhakar (Department of Economics, State University of New York at Binghamton, Binghamton, NY 13902, USA)

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Abstract

This paper deals with estimation of technical change through changes in input factor efficiency/productivity. The main advantage of this factor augmenting (FA) approach, unlike the generic time trend models of technical change, is that one can measure input-specific productivity, change in input productivity, and the contribution of each input to overall (aggregate) technical change. In general, one can obtain more information about the nature of technical change from the FA approach compared to the popular time trend models. We model FA technical change in both primal and dual setups. In the dual approach we consider both cost and profit functions in the single and multiple output cases. Output efficiency factors are also added in the multiple output FA cost function model. Time series and panel (state level) data from U.S. agriculture are used to estimate several FA cost function models. The standard time trend models are also estimated using both the data sets. A translog cost system is used for all the specifications. Finally, results from alternative models are analyzed. JEL Classification: 030

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Publisher Info
Article provided by Department of Economics, Delhi School of Economics in its journal Indian Economic Review.

Volume (Year): 39 (2004)
Issue (Month): 1 (January)
Pages: 31-53
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Handle: RePEc:dse:indecr:v:39:y:2004:i:1:p:31-53

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Related research
Keywords: Production; Cost and Profit Functions; Input Productivity; Input Biases;

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  1. Kumbhakar, Subal C. & Mavrotas, George, 2005. "Financial Sector Development and Productivity Growth," Working Papers RP2005/68, World Institute for Development Economic Research (UNU-WIDER). [Downloadable!]
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This page was last updated on 2009-10-29.

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