| Registro completo |
| Provedor de dados: |
AgEcon
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| País: |
United States
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| Título: |
Applying regression quantiles to farm efficiency estimation
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| Autores: |
Kaditi, Eleni A.
Nitsi, Elisavet I.
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| Data: |
2010-04-30
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| Ano: |
2010
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| Palavras-chave: |
Efficiency
Quantile Regression
Agriculture
Agricultural and Food Policy
Productivity Analysis
Research Methods/ Statistical Methods
C14
D24
Q18
|
| Resumo: |
This article is concerned with the methodological question of frontier production functions estimation for agriculture, and the appropriateness of regression quantiles, as a useful semi-parametric approach. Better insights are reached using the proposed methodology that provides robust farm efficiency scores estimates. Using the 2007 Farm Accountancy Data Network (FADN) data for Greece, analysis shows that the distribution of efficiency scores is closer to normality when employing regression quantiles, while underestimation of efficiency obtained by other parametric or deterministic methods based on the conditional mean can be avoided. The results further suggest that government support aimed at enhancing farms viability should be directed towards payments decoupled from output or prices, as well as rural development payments that affect productivity in a uniform way.
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| Tipo: |
Conference Paper or Presentation
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| Idioma: |
Inglês
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| Identificador: |
http://purl.umn.edu/61081
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| Relação: |
Agricultural and Applied Economics Association>2010 Annual Meeting, July 25-27, 2010, Denver, Colorado
Selected Paper
10598
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| Formato: |
15
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