Stochastic frontier models all need an assumption on the distributional form of the (in)efficiency component. Generally this efficiency component is assumed to be half normally, truncated normally, or exponentially distributed. This paper shows that the exponential distribution is, just like the half normal distribution, a special case of the truncated normal distribution. Moreover, this paper discusses the implications that this finding has on estimation.</p
Estimation of the one sided error component in stochastic frontier models may erroneously attribute ...
This book presents new findings on nonregular statistical estimation. Unlike other books on this top...
The field of productive efficiency analysis is currently divided between two main paradigms: the det...
Stochastic frontier models all need an assumption on the distributional form of the (in)efficiency c...
The presence of outliers in the data has implications for stochastic frontier analysis, and indeed a...
The stochastic frontier analysis (Aigner et al. [1] and Meeusen and van den Broeck [8]) has been wid...
This chapter is a survey of developments in stochastic frontier modelling. The literature on stochas...
The paper is concerned with several kinds of stochastic frontier models whose likelihood function is...
The normal-gamma stochastic frontier model was proposed in Greene (1990) and Beckers and Hammond (19...
Although conceptually pleasing, normal-gamma frontier models lead to difficult estimation problems. ...
This paper aims at introducing a new class of stochastic frontier models that can take account for ...
In Stochastic Frontier Analysis the presence of outliers in the data, which can often be safely igno...
Stochastic frontier analysis is an exciting method of economic production modeling that is relevant ...
When analysing the efficiency of decision-making units, the robustness of efficiency scores to chang...
The stochastic frontier model was first proposed in the context of production function estimation to...
Estimation of the one sided error component in stochastic frontier models may erroneously attribute ...
This book presents new findings on nonregular statistical estimation. Unlike other books on this top...
The field of productive efficiency analysis is currently divided between two main paradigms: the det...
Stochastic frontier models all need an assumption on the distributional form of the (in)efficiency c...
The presence of outliers in the data has implications for stochastic frontier analysis, and indeed a...
The stochastic frontier analysis (Aigner et al. [1] and Meeusen and van den Broeck [8]) has been wid...
This chapter is a survey of developments in stochastic frontier modelling. The literature on stochas...
The paper is concerned with several kinds of stochastic frontier models whose likelihood function is...
The normal-gamma stochastic frontier model was proposed in Greene (1990) and Beckers and Hammond (19...
Although conceptually pleasing, normal-gamma frontier models lead to difficult estimation problems. ...
This paper aims at introducing a new class of stochastic frontier models that can take account for ...
In Stochastic Frontier Analysis the presence of outliers in the data, which can often be safely igno...
Stochastic frontier analysis is an exciting method of economic production modeling that is relevant ...
When analysing the efficiency of decision-making units, the robustness of efficiency scores to chang...
The stochastic frontier model was first proposed in the context of production function estimation to...
Estimation of the one sided error component in stochastic frontier models may erroneously attribute ...
This book presents new findings on nonregular statistical estimation. Unlike other books on this top...
The field of productive efficiency analysis is currently divided between two main paradigms: the det...