Nonparametric estimation of concave production technologies by entropic methods

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 © 2007 John Wiley & Sons, Ltd.

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Year of publication:	2007
Authors:	Allon, Gad ; Beenstock, Michael ; Hackman, Steven ; Passy, Ury ; Shapiro, Alexander
Published in:	Journal of Applied Econometrics. - John Wiley & Sons, Ltd.. - Vol. 22.2007, 4, p. 795-816
Publisher:	John Wiley & Sons, Ltd.

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Type of publication:	Article
Research data:	https://doi.org/10.15456/jae.2022319.0715082469
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005247806