Title: Nonparametric efficiency estimation in stochastic environments
Authors: Post, T ×
Cherchye, Laurens
Kuosmanen, T #
Issue Date: Jul-2002
Publisher: Inst operations research management sciences
Series Title: Operations research vol:50 issue:4 pages:645-655
Abstract: This paper develops a new nonparametric model for efficiency estimation. In contrast to Data Envelopment Analysis (DEA), it does not impose debatable production assumptions like free disposability and convexity, and it does not assume that the data are measured without error. The estimators are asymptotically unbiased and have an asymptotic variance that is comparable to that of stochastic frontier estimators (provided the latter use a correct specification of the functional form for the production relationships). In addition, the estimators can be computed using a simple enumeration algorithm.
ISSN: 0030-364X
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Department of Economics, Leuven - miscellaneous
× corresponding author
# (joint) last author

Files in This Item:

There are no files associated with this item.

Request a copy


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science