Integrating spatial dependence into Stochastic Frontier Analysis
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.
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Volume (Year): 56 (2012)
Issue (Month): 4 (October)
Pages: 521-541
| Handle: | RePEc:bla:ajarec:v:56:y:2012:i:4:p:521-541 |
| DOI: | j.1467-8489.2012.00597.x |
| Contact details of provider: | Postal: AARES Central Office Manager, Crawford School of Public Policy, ANU, Canberra ACT 0200 Phone: 0409 032 338 Web page: http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-8489 Email: More information through EDIRC
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References listed on IDEAS
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