Nonparametric estimation of concave production technologies by entropic methods

Gad Allon, Michael Beenstock*, Steven Hackman, Ury Passy, Alexander Shapiro

*Corresponding author for this work

Research output: Contribution to journalArticle

23 Scopus citations

Abstract

An econometric methodology is developed for nonparametric estimation of concave production technologies. The methodology, based on the principle of maximum likelihood, uses entropic distance and convex programming techniques to estimate production functions. Empirical applications are presented to demonstrate the feasibility of the methodology in small and large datasets.

Original languageEnglish (US)
Pages (from-to)795-816
Number of pages22
JournalJournal of Applied Econometrics
Volume22
Issue number4
DOIs
StatePublished - Jun 1 2007

ASJC Scopus subject areas

  • Social Sciences (miscellaneous)
  • Economics and Econometrics

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