Integrated 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.


Issue Date:
2012-12
Publication Type:
Journal Article
PURL Identifier:
http://purl.umn.edu/229821
Published in:
Australian Journal of Agricultural and Resource Economics, Volume 56, Issue 4
Page range:
521-541
Total Pages:
21




 Record created 2017-04-01, last modified 2017-04-24

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