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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Year of publication:	2010
Authors:	Areal, Francisco J ; Balcombe, Kelvin ; Tiffin, R

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Type of publication:	Book / Working Paper
Language:	English
Notes:	Areal, Francisco J and Balcombe, Kelvin and Tiffin, R (2010): Integrating spatial dependence into stochastic frontier analysis.
Classification:	C51 - Model Construction and Estimation ; C13 - Estimation ; C23 - Models with Panel Data ; Q12 - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets ; C11 - Bayesian Analysis
Source:	BASE

Persistent link: https://www.econbiz.de/10015223086