Abstract
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.
Original language | English (US) |
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Pages (from-to) | 86-101 |
Number of pages | 16 |
Journal | American Journal of Agricultural Economics |
Volume | 92 |
Issue number | 1 |
DOIs | |
State | Published - Jan 2010 |
Keywords
- distance function
- k-shift
- output biases
- rate of commodity progress
- rate of technical change
ASJC Scopus subject areas
- Agricultural and Biological Sciences (miscellaneous)
- Economics and Econometrics