This article reconsiders the way metafrontiers and associated measures of efficiency are obtained from nonparametric estimates of underlying group-specific frontiers. Both convex and non-convex metasets have been applied, but the large majority of articles applying this popular methodology assume that the metafrontier envelops a convex metaset. We argue that associated estimates of efficiency are potentially unreliable. We develop a refined methodology for nonparametric envelopment of non-convex metasets. We apply our methodology to a secondary data set to illustrate the potential errors associated with the currently established methods. Anticipating our main conclusion, we find that the convexification strategy consisting in assuming a con...
The explanation of productivity differentials is very important to identify the eco-nomic conditions...
This paper investigates the nonparametric analysis of technology under non-convexity. The analysis e...
The explanation of productivity differentials is very important to identify the economic conditions...
International audienceThis article reconsiders the way metafrontiers and associated measures of effi...
International audienceWhile the construction of metafrontiers based on the union of underlying group...
This paper suggests how stochastic nonparametric envelopment of data (StoNED) can be extended as an ...
The notions of metatechnology and metafrontier arise in applications of data envelopment analysis (D...
In this article we propose non-concave metafrontiers for estimating the inefficiency among productio...
We consider the case of production units arranged into a number of groups. All units within a group ...
Existing approaches to the meta-frontier estimation are largely based on the linear programming tech...
Nonparametric envelopment estimators are often used to estimate the attainable set and its efficient...
The explanation of productivity differentials is very important to identify the economic conditions ...
The field of productive efficiency analysis is currently divided between two main paradigms: the det...
<p>We consider the case of production units arranged into a number of groups. All units within a gro...
International audienceThis contribution focuses on testing the empirical impact of the convexity ass...
The explanation of productivity differentials is very important to identify the eco-nomic conditions...
This paper investigates the nonparametric analysis of technology under non-convexity. The analysis e...
The explanation of productivity differentials is very important to identify the economic conditions...
International audienceThis article reconsiders the way metafrontiers and associated measures of effi...
International audienceWhile the construction of metafrontiers based on the union of underlying group...
This paper suggests how stochastic nonparametric envelopment of data (StoNED) can be extended as an ...
The notions of metatechnology and metafrontier arise in applications of data envelopment analysis (D...
In this article we propose non-concave metafrontiers for estimating the inefficiency among productio...
We consider the case of production units arranged into a number of groups. All units within a group ...
Existing approaches to the meta-frontier estimation are largely based on the linear programming tech...
Nonparametric envelopment estimators are often used to estimate the attainable set and its efficient...
The explanation of productivity differentials is very important to identify the economic conditions ...
The field of productive efficiency analysis is currently divided between two main paradigms: the det...
<p>We consider the case of production units arranged into a number of groups. All units within a gro...
International audienceThis contribution focuses on testing the empirical impact of the convexity ass...
The explanation of productivity differentials is very important to identify the eco-nomic conditions...
This paper investigates the nonparametric analysis of technology under non-convexity. The analysis e...
The explanation of productivity differentials is very important to identify the economic conditions...