Integrating spatial dependence into stochastic frontier analysis

Francisco Areal, Kelvin Balcombe and Richard Tiffin ()

MPRA Paper from University Library of Munich, Germany

Abstract: An 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.

Keywords: Spatial dependence; technical efficiency; Bayesian; spatial weight matrix (search for similar items in EconPapers)
JEL-codes: C11 C13 C23 C51 Q12 (search for similar items in EconPapers)
Date: 2010
New Economics Papers: this item is included in nep-ecm, nep-eff, nep-geo and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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Related works:
Journal Article: Integrating spatial dependence into Stochastic Frontier Analysis (2012)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:24961

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