| Registro completo |
| Provedor de dados: |
AgEcon
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| País: |
United States
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| 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.
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| Tipo: |
Working or Discussion Paper
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| Idioma: |
Inglês
|
| Identificador: |
1860
http://purl.umn.edu/15773
|
| Editor: |
AgEcon Search
|
| Relação: |
University of Arkansas>Department of Agricultural Economics and Agribusiness>Staff Papers
Staff Paper 062000; Selected Paper from the Southern Agricultural Economics Association Annual Meetings, January 30-February 2, 2000, Lexington, Kentucky
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| Formato: |
21
application/pdf
|
