Add to ORKGtextabstractWe consider the issues of noise-to-signal estimation, finite sample performance and hypothesis testing for the nonparametric efficiency estimation technique proposed in Cherchye, L., T. Kuosmanen and G. T. Post (2001) 'Nonparametric efficiency estimation in stochastic environments', forthcoming in Operations Research. In addition, we apply the technique for analyzing European banks
Stochastic frontier models along the lines of Aigner et al. are widely used to benchmark firms’ perf...
This paper provides simulation evidence concerning some statistical properties of two different appr...
When analyzing productivity and efficiency of firms, stochastic frontier models are very attractive ...
This paper develops a new nonparametric model for efficiency estimation. In contrast to Data Envelop...
We develop a non-parametric test of productive efficiency that accounts for errors-in-variables, fol...
The objective of this article is 2-fold. First, it provides an empirical assessment of the cost and ...
The paper analyzes a number of competing approaches to modeling efficiency in panel studies. The spe...
This paper demonstrates that standard central limit theorem (CLT) results do not hold for means of n...
textabstractThis paper develops a novel statistic for firm efficiency called efficiency depth that a...
This paper discusses statistical procedures for testing various restrictions in the context of nonpa...
Stochastic DEA can deal effectively with noise in the non-parametric measurement of efficiency but u...
In this paper we compare two flexible estimators of technical efficiency in a cross-sectional settin...
This thesis is a contribution to frontier analysis and its application to developing areas in Morocc...
When analyzing productivity and efficiency of firms, stochastic frontier models are very attractive ...
This paper addresses some of the recent developments in efficiency measurement using stochastic fron...
Stochastic frontier models along the lines of Aigner et al. are widely used to benchmark firms’ perf...
This paper provides simulation evidence concerning some statistical properties of two different appr...
When analyzing productivity and efficiency of firms, stochastic frontier models are very attractive ...
This paper develops a new nonparametric model for efficiency estimation. In contrast to Data Envelop...
We develop a non-parametric test of productive efficiency that accounts for errors-in-variables, fol...
The objective of this article is 2-fold. First, it provides an empirical assessment of the cost and ...
The paper analyzes a number of competing approaches to modeling efficiency in panel studies. The spe...
This paper demonstrates that standard central limit theorem (CLT) results do not hold for means of n...
textabstractThis paper develops a novel statistic for firm efficiency called efficiency depth that a...
This paper discusses statistical procedures for testing various restrictions in the context of nonpa...
Stochastic DEA can deal effectively with noise in the non-parametric measurement of efficiency but u...
In this paper we compare two flexible estimators of technical efficiency in a cross-sectional settin...
This thesis is a contribution to frontier analysis and its application to developing areas in Morocc...
When analyzing productivity and efficiency of firms, stochastic frontier models are very attractive ...
This paper addresses some of the recent developments in efficiency measurement using stochastic fron...
Stochastic frontier models along the lines of Aigner et al. are widely used to benchmark firms’ perf...
This paper provides simulation evidence concerning some statistical properties of two different appr...
When analyzing productivity and efficiency of firms, stochastic frontier models are very attractive ...