Integrating spatial dependence into Stochastic Frontier Analysis
AbstractAn approach to incorporate spatial dependence into Stochastic Frontier analysis is developed and applied to a sample of 215 dairy farms in England and Wales. A number of alternative specifications for the spatial weight matrix are used to analyse the effect of these on the estimation of spatial dependence. Estimation is conducted using a Bayesian approach and results indicate that spatial dependence is present when explaining technical inefficiency.
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Bibliographic InfoArticle provided by Australian Agricultural and Resource Economics Society in its journal Australian Journal of Agricultural and Resource Economics.
Volume (Year): 56 (2012)
Issue (Month): 4 (October)
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Web page: http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-8489
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Other versions of this item:
- Areal, Francisco J & Balcombe, Kelvin & Tiffin, R, 2010. "Integrating spatial dependence into stochastic frontier analysis," MPRA Paper 24961, University Library of Munich, Germany.
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
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