Estimating Griliches' k-Shifts
Griliches' k-shift, a crucial parameter in the welfare evaluation of technological change, is shown to be equal to the radial rate of technological change plus a vector of commodity bias parameters obtained from the distance function. The analysis permits decomposition of sectoral productivity growth into productivity growth by commodity. The k-shifts estimated for wheat, corn, soybeans, and beef in U.S. agriculture indicate a decrease in the marginal cost of production of corn, soybeans, and wheat during the 1950--1993 years. Copyright 2010, Oxford University Press.
Year of publication: |
2010
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Authors: | Fulginiti, Lilyan E. |
Published in: |
American Journal of Agricultural Economics. - Agricultural and Applied Economics Association - AAEA. - Vol. 92.2010, 1, p. 86-101
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Publisher: |
Agricultural and Applied Economics Association - AAEA |
Saved in:
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