English, Article, Journal or magazine article edition: A Primal-Dual Approach to Nonparametric Productivity Analysis: the Case of U.S. Agriculture Jean-Paul CHAVAS; Thomas L. COX

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Bookmark: http://trove.nla.gov.au/version/137733
Physical Description
  • preprint
Language
  • English

Edition details

Title
  • A PRIMAL-DUAL APPROACH TO NONPARAMETRIC PRODUCTIVITY ANALYSIS: THE CASE OF U.S. AGRICULTURE
Author
  • Jean-Paul CHAVAS
  • Thomas L. COX
Physical Description
  • preprint
Notes
  • RePEc:wop:wisaes:372
  • Nonparametric methods for measuring productivity indexes based on bounds for the underlying production technology are presented. Following Banker and Maindiratta, the lower bound is obtained from a primal approach while the upper bound corresponds to a dual approach to nonparametric production analysis. These nonparametric bounds are then used to estimate input-based and output- based distance functions. These radial measures provide the basis for measuring productivity indexes. Application to times series data on U.S. agriculture indicates a large gap between the primal lower bound and the dual upper bound. This generates striking differences between the primal and dual nonparametric productivity indexes.
  • RePEc:wop:wiaesp:372
Language
  • English
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