EconPapers    
Economics at your fingertips  
 

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
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://ageconsearch.umn.edu/record/15773/files/sp062000.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

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

DOI: 10.22004/ag.econ.15773

Access Statistics for this paper

More papers in Staff Papers from University of Arkansas, Department of Agricultural Economics and Agribusiness Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().

 
Page updated 2025-03-19
Handle: RePEc:ags:uarksp:15773