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.


Issue Date:
2000
Publication Type:
Working or Discussion Paper
PURL Identifier:
http://purl.umn.edu/15773
Total Pages:
21
Series Statement:
Staff Paper 062000; Selected Paper from the Southern Agricultural Economics Association Annual Meetings, January 30-February 2, 2000, Lexington, Kentucky




 Record created 2017-04-01, last modified 2017-04-04

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