A Bootstrap-Regression Procedure to Capture Unit Specific Effects In Data Envelopment Analysis

Evangelia Desli () and Subhash Ray

Indian Economic Review, 2004, vol. 39, issue 1, 89-110

Abstract: The Data Envelopment Analysis (DEA) efficiency score obtained for an individual firm is a point estimate without any confidence interval around it. In recent years, researchers have resorted to bootstrapping in order to generate empirical distributions of efficiency scores. This procedure assumes that all firms have the same probability of getting an efficiency score from any specified interval within the [0,1] range. We propose a bootstrap procedure that empirically generates the conditional distribution of efficiency for each individual firm given systematic factors that influence its efficiency. Instead of resampling directly from the pooled DEA scores, we first regress these scores on a set of explanatory variables not included at the DEA stage and bootstrap the residuals from this regression. These pseudo-efficiency scores incorporate the systematic effects of unit-specific factors along with the contribution of the randomly drawn residual. Data from the U.S. airline industry are utilized in an empirical application.

Keywords: DEA; Kernel Smoothing; Reflection Method; Empirical Density (search for similar items in EconPapers)
JEL-codes: C15 C63 (search for similar items in EconPapers)
Date: 2004
References: Add references at CitEc
Citations: View citations in EconPapers (8)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Working Paper: A Bootstrap-Regression Procedure to Capture Unit Specific Effects in Data Envelopment Analysis (2004)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:dse:indecr:v:39:y:2004:i:1:p:89-110

Ordering information: This journal article can be ordered from
http://www.ierdse.org/

Access Statistics for this article

Indian Economic Review is currently edited by Pami Dua (Editor) & Ram Singh (Associate Editor) and Sunil Kanwar

More articles in Indian Economic Review from Department of Economics, Delhi School of Economics University of Delhi, Delhi 110 007. Contact information at EDIRC.
Bibliographic data for series maintained by Pami Dua ().