NDLI: Fractional regression models for second stage DEA efficiency analyses

Content Provider	Springer Nature Link
Author	Ramalho, Esmeralda A. Ramalho, Joaquim J. S. Henriques, Pedro D.
Copyright Year	2010
Abstract	Data envelopment analysis (DEA) is commonly used to measure the relative efficiency of decision-making units. Often, in a second stage, a regression model is estimated to relate DEA efficiency scores to exogenous factors. In this paper, we argue that the traditional linear or tobit approaches to second-stage DEA analysis do not constitute a reasonable data-generating process for DEA scores. Under the assumption that DEA scores can be treated as descriptive measures of the relative performance of units in the sample, we show that using fractional regression models is the most natural way of modeling bounded, proportional response variables such as DEA scores. We also propose generalizations of these models and, given that DEA scores take frequently the value of unity, examine the use of two-part models in this framework. Several tests suitable for assessing the specification of each alternative model are also discussed.
Starting Page	239
Ending Page	255
Page Count	17
File Format	PDF
ISSN	0895562X
Journal	Journal of Productivity Analysis
Volume Number	34
Issue Number	3
e-ISSN	15730441
Language	English
Publisher	Springer US
Publisher Date	2010-06-15
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Second-stage DEA Fractional data Specification tests One outcomes Two-part models Accounting/Auditing Operations Research/Decision Theory Econometrics Microeconomics
Content Type	Text
Resource Type	Article
Subject	Business and International Management Social Sciences Economics and Econometrics

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