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 data sets

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Year of publication:	2006
Authors:	Allon, Gad ; Hackman, Steve ; Beenstock, Michael ; Passy, Uri ; Shapiro, Alexander
Publisher:	[S.l.] : SSRN
Subject:	Theorie \| Theory \| Produktionsfunktion \| Production function \| Entropie \| Entropy \| Schätzung \| Estimation \| Produktionstechnik \| Manufacturing technology

Extent:	1 Online-Ressource (27 p)
Type of publication:	Book / Working Paper
Language:	English
Notes:	In: Journal of Applied Econometrics, September 22, 2005
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014057669