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

Daniel M. Settlage, Bruce L. Dixon and Michael R. Thomsen

No 15773, Staff Papers from University of Arkansas, Department of Agricultural Economics and Agribusiness

Abstract: 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.

Keywords: Research; Methods/Statistical; Methods (search for similar items in EconPapers)
Pages: 21
Date: 2000
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:ags:uarksp:15773

DOI: 10.22004/ag.econ.15773

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