A PRIMAL-DUAL APPROACH TO NONPARAMETRIC PRODUCTIVITY ANALYSIS: THE CASE OF U.S. AGRICULTURE
| dc.creator | Chavas, Jean-Paul | |
| dc.creator | Cox, Thomas L. | |
| dc.date | 2017-04-01T13:53:24Z | |
| dc.date.accessioned | 2026-07-09T03:05:04Z | |
| dc.description | 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. | |
| dc.identifier | doi:10.22004/ag.econ.12613 | |
| dc.identifier | https://ageconsearch.umn.edu/record/12613/files/stpap372.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/12613 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/526170 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/12613 | |
| dc.title | A PRIMAL-DUAL APPROACH TO NONPARAMETRIC PRODUCTIVITY ANALYSIS: THE CASE OF U.S. AGRICULTURE | |
| dc.type | Text |