This chapter is a survey of developments in stochastic frontier modelling. The literature on stochastic frontiers has grown substantially in the 42 years since the seminal work by Aigner et al. (J. Econom 6 (1): 21–37, 1977). There exist many surveys of this literature that cover a broad range of contribution pathways in the field. In this chapter, we present a review of key developments in distributional specifications in stochastic frontier models, with a particular emphasis on innovations that address practical issues identified by practitioners
This paper addresses some of the recent developments in efficiency measurement using stochastic fron...
In Grosskopf (1995) and Banker (1995) different approaches and problems of statistical inference in ...
Abstract Stochastic frontier modeling has proceeded rapidly recently. Heterogeneity modeling interna...
The stochastic frontier model was first proposed in the context of production function estimation to...
Stochastic frontier models all need an assumption on the distributional form of the (in)efficiency c...
The paper is concerned with several kinds of stochastic frontier models whose likelihood function is...
This paper describes sfcross and sfpanel, two new Stata commands for the estimation of cross-sectio...
This paper explores the framework and development of stochastic frontier Approach (SFA). The origina...
The purpose of this article is one of the benchmarking methods - SFA (Stochastic Frontier Analysis) ...
The stochastic frontier analysis (Aigner et al. [1] and Meeusen and van den Broeck [8]) has been wid...
Stochastic frontier models are one of the most frequently used approaches for estimating production ...
The presence of outliers in the data has implications for stochastic frontier analysis, and indeed a...
The paper proposes a stochastic frontier model with random coefficients to separate technical ineffi...
Stochastic frontier models are typically estimated by maximum likelihood (MLE) orcorrected ordinary ...
Stochastic Frontier Analysis (SFA) models have been using skewness as an intrinsic characteristic to...
This paper addresses some of the recent developments in efficiency measurement using stochastic fron...
In Grosskopf (1995) and Banker (1995) different approaches and problems of statistical inference in ...
Abstract Stochastic frontier modeling has proceeded rapidly recently. Heterogeneity modeling interna...
The stochastic frontier model was first proposed in the context of production function estimation to...
Stochastic frontier models all need an assumption on the distributional form of the (in)efficiency c...
The paper is concerned with several kinds of stochastic frontier models whose likelihood function is...
This paper describes sfcross and sfpanel, two new Stata commands for the estimation of cross-sectio...
This paper explores the framework and development of stochastic frontier Approach (SFA). The origina...
The purpose of this article is one of the benchmarking methods - SFA (Stochastic Frontier Analysis) ...
The stochastic frontier analysis (Aigner et al. [1] and Meeusen and van den Broeck [8]) has been wid...
Stochastic frontier models are one of the most frequently used approaches for estimating production ...
The presence of outliers in the data has implications for stochastic frontier analysis, and indeed a...
The paper proposes a stochastic frontier model with random coefficients to separate technical ineffi...
Stochastic frontier models are typically estimated by maximum likelihood (MLE) orcorrected ordinary ...
Stochastic Frontier Analysis (SFA) models have been using skewness as an intrinsic characteristic to...
This paper addresses some of the recent developments in efficiency measurement using stochastic fron...
In Grosskopf (1995) and Banker (1995) different approaches and problems of statistical inference in ...
Abstract Stochastic frontier modeling has proceeded rapidly recently. Heterogeneity modeling interna...