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Nonparametric estimation of concave production technologies by entropic methods

โœ Scribed by Gad Allon; Michael Beenstock; Steven Hackman; Ury Passy; Alexander Shapiro

Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
230 KB
Volume
22
Category
Article
ISSN
0883-7252

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โœฆ Synopsis

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. Copyright ยฉ 2007 John Wiley & Sons, Ltd.

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