This paper discusses various statistics for testing hypotheses regarding returns to scale in the context of non-parametric models of technical efficiency. In addition, the paper presents bootstrap estimation procedures which yield appropriate critical values for the test statistics. Evidence on the true sizes and power of the various proposed tests is obtained from Monte-Carlo experiments. This paper is an extension of earlier work in [Manage. Sci. 44 (1998) 49 J. Appl. Statist. 27 (2000b) 779]. (C) 2002 Elsevier Science B.V. All rights reserved
Bootstrap tests are tests for which the significance level is calculated by some sort of bootstrap p...
In this paper we investigate several tests for the hypothesis of a parametric form of the error dist...
Efficiency scores of production units are generally measured relative to an estimated production fro...
This paper discusses various statistics for testing hypotheses regarding returns to scale in the con...
This paper discusses statistical procedures for testing various restrictions in the context of nonpa...
This paper develops a consistent bootstrap estimation procedure to obtain confidence intervals for n...
The purpose of this note is to define a new and more general method to obtain qualitative informatio...
Bootstrap tests are tests for which the signicance level is calculated using some variant of the boo...
Abstract: Data envelopment Analysis (DEA) is a kind of non-parametric and non-statistical tools for ...
Abstract. Estimating the returns to scale is a classic problem of economics. In this paper we show h...
Bootstrap tests are tests for which the signicance level is calculated by some sort of bootstrap pro...
Bootstrap tests are tests for which the significance level is calculated using some variant of the b...
Although non-parametric tests have already been proposed for that pur-pose, statistical significance...
Although non-parametric tests have already been proposed for that pur-pose, statistical significance...
Data envelopment analysis (DEA) and free disposal hull (FDH) estimators are widely used to estimate ...
Bootstrap tests are tests for which the significance level is calculated by some sort of bootstrap p...
In this paper we investigate several tests for the hypothesis of a parametric form of the error dist...
Efficiency scores of production units are generally measured relative to an estimated production fro...
This paper discusses various statistics for testing hypotheses regarding returns to scale in the con...
This paper discusses statistical procedures for testing various restrictions in the context of nonpa...
This paper develops a consistent bootstrap estimation procedure to obtain confidence intervals for n...
The purpose of this note is to define a new and more general method to obtain qualitative informatio...
Bootstrap tests are tests for which the signicance level is calculated using some variant of the boo...
Abstract: Data envelopment Analysis (DEA) is a kind of non-parametric and non-statistical tools for ...
Abstract. Estimating the returns to scale is a classic problem of economics. In this paper we show h...
Bootstrap tests are tests for which the signicance level is calculated by some sort of bootstrap pro...
Bootstrap tests are tests for which the significance level is calculated using some variant of the b...
Although non-parametric tests have already been proposed for that pur-pose, statistical significance...
Although non-parametric tests have already been proposed for that pur-pose, statistical significance...
Data envelopment analysis (DEA) and free disposal hull (FDH) estimators are widely used to estimate ...
Bootstrap tests are tests for which the significance level is calculated by some sort of bootstrap p...
In this paper we investigate several tests for the hypothesis of a parametric form of the error dist...
Efficiency scores of production units are generally measured relative to an estimated production fro...