Estimating Griliches' k-shifts

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


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 languageEnglish (US)
Pages (from-to)86-101
Number of pages16
JournalAmerican Journal of Agricultural Economics
Issue number1
StatePublished - Jan 2010


  • 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


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