Data/hora: 02/06/2024 10:39:46

Provedor de dados: | 31
País: | United States
Título: | A COMPARISON OF VARIOUS FRONTIER ESTIMATION METHODS UNDER DIFFERING DATA GENERATION ASSUMPTIONS
Autores: | Settlage,   Daniel M.; Dixon,   Bruce L.; Thomsen,   Michael R.
Data: | 2000-03-07
Ano: | 2000
Palavras-chave: | Research Methods/ Statistical Methods.
Resumo: | 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.
Tipo: | Working or Discussion Paper
Idioma: | Inglês

Identificador:

1860

http://purl.umn.edu/15773

Editor: | AgEcon Search

Relação:

University of Arkansas&gt;Department of Agricultural Economics and Agribusiness&gt;Staff Papers

Staff Paper 062000; Selected Paper from the Southern Agricultural Economics Association Annual Meetings, January 30-February 2, 2000, Lexington, Kentucky

Formato:

21

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