A COMPARISON OF VARIOUS FRONTIER ESTIMATION METHODS UNDER DIFFERING DATA GENERATION ASSUMPTIONS

Monte Carlo methods examine the accuracy of several production frontier approximating forms, estimators and methods to rank firms by level of predicted technical efficiency. Results show stochastic frontier methods superior to data envelopment analysis. The Cobb-Douglas approximating form is superior to the translog or generalized Leontief.

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Year of publication:	2000
Authors:	Settlage, Daniel M. ; Dixon, Bruce L. ; Thomsen, Michael R.
Institutions:	Department of Agricultural Economics and Agribusiness, University of Arkansas
Subject:	Research Methods/ Statistical Methods

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Extent:	application/pdf
Series:	Staff Papers.
Type of publication:	Book / Working Paper
Notes:	The text is part of a series Department of Agricultural Economics and Agribusiness>Staff Papers Number 15773
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005476540