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
This paper develops a spatial Durbin stochastic frontier model for panel data introducing spillover ...
We compare farm level efficiency rankings derived from non-spatial and a variety of spatial model sp...
<p>This paper proposes a spatial Bayesian random effects stochastic frontier model that allows for u...
An approach to incorporate spatial dependence into stochastic frontier analysis is developed and app...
An approach to incorporate spatial dependence into Stochastic Frontier analysis is developed and app...
An approach to incorporate spatial dependence into stochastic frontier analysis is developed and app...
Spatial dependence in stochastic frontier models is usually handled by modelling the frontier functi...
This paper deals with an alternative approach to combine spatial dependence and stochastic frontier ...
This paper analyzes the productivity of farms across 370 municipalities in the Center-West region of...
Firm efficiency analysis has evolved from mathematically estimating an industry\u27s mean level of e...
Stochastic frontier models are one of the most frequently used approaches for estimating production ...
In the last decade special attention has been focused on estimating a firm’s efficiency and producti...
In this paper, a stochastic frontier model accounting for spatial dependency is developed using gene...
This paper redefines technical efficiency by incorporating provision of environmental goods as one o...
We investigated the role of spatial dependency in the technical efficiency estimates of rice farmers...
This paper develops a spatial Durbin stochastic frontier model for panel data introducing spillover ...
We compare farm level efficiency rankings derived from non-spatial and a variety of spatial model sp...
<p>This paper proposes a spatial Bayesian random effects stochastic frontier model that allows for u...
An approach to incorporate spatial dependence into stochastic frontier analysis is developed and app...
An approach to incorporate spatial dependence into Stochastic Frontier analysis is developed and app...
An approach to incorporate spatial dependence into stochastic frontier analysis is developed and app...
Spatial dependence in stochastic frontier models is usually handled by modelling the frontier functi...
This paper deals with an alternative approach to combine spatial dependence and stochastic frontier ...
This paper analyzes the productivity of farms across 370 municipalities in the Center-West region of...
Firm efficiency analysis has evolved from mathematically estimating an industry\u27s mean level of e...
Stochastic frontier models are one of the most frequently used approaches for estimating production ...
In the last decade special attention has been focused on estimating a firm’s efficiency and producti...
In this paper, a stochastic frontier model accounting for spatial dependency is developed using gene...
This paper redefines technical efficiency by incorporating provision of environmental goods as one o...
We investigated the role of spatial dependency in the technical efficiency estimates of rice farmers...
This paper develops a spatial Durbin stochastic frontier model for panel data introducing spillover ...
We compare farm level efficiency rankings derived from non-spatial and a variety of spatial model sp...
<p>This paper proposes a spatial Bayesian random effects stochastic frontier model that allows for u...