Integrated spatial dependence into Stochastic Frontier Analysis
| dc.creator | Areal, Francisco Jose | |
| dc.creator | Balcombe, Kelvin | |
| dc.creator | Tiffin, Richard | |
| dc.date | 2017-04-01T13:51:28Z | |
| dc.date.accessioned | 2026-07-09T10:02:29Z | |
| dc.description | 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. | |
| dc.identifier | doi:10.22004/ag.econ.229821 | |
| dc.identifier | https://ageconsearch.umn.edu/record/229821/files/j.1467-8489.2012.00597.x.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/229821 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/614889 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/229821 | |
| dc.title | Integrated spatial dependence into Stochastic Frontier Analysis | |
| dc.type | Text |