Estimating DEA confidence intervals with statistical panel data analysis

Barnum, DT; Gleason, JM; Karlaftis, MG; Schumock, GT; Shields, KL; Tandon, S; Walton, SM

dc.contributor.author	Barnum, DT	en
dc.contributor.author	Gleason, JM	en
dc.contributor.author	Karlaftis, MG	en
dc.contributor.author	Schumock, GT	en
dc.contributor.author	Shields, KL	en
dc.contributor.author	Tandon, S	en
dc.contributor.author	Walton, SM	en
dc.date.accessioned	2014-03-01T02:08:52Z
dc.date.available	2014-03-01T02:08:52Z
dc.date.issued	2012	en
dc.identifier.issn	02664763	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29740
dc.subject	data envelopment analysis	en
dc.subject	econometrics	en
dc.subject	efficiency	en
dc.subject	probability	en
dc.subject	statistics	en
dc.title	Estimating DEA confidence intervals with statistical panel data analysis	en
heal.type	journalArticle	en
heal.identifier.primary	10.1080/02664763.2011.620948	en
heal.identifier.secondary	http://dx.doi.org/10.1080/02664763.2011.620948	en
heal.publicationDate	2012	en
heal.abstract	This paper describes a statistical method for estimating data envelopment analysis (DEA) score confidence intervals for individual organizations or other entities. This method applies statistical panel data analysis, which provides proven and powerful methodologies for diagnostic testing and for estimation of confidence intervals. DEA scores are tested for violations of the standard statistical assumptions including contemporaneous correlation, serial correlation, heteroskedasticity and the absence of a normal distribution. Generalized least squares statistical models are used to adjust for violations that are present and to estimate valid confidence intervals within which the true efficiency of each individual decision-making unit occurs. This method is illustrated with two sets of panel data, one from large US urban transit systems and the other from a group of US hospital pharmacies. © 2012 Copyright Taylor and Francis Group, LLC.	en
heal.journalName	Journal of Applied Statistics	en
dc.identifier.doi	10.1080/02664763.2011.620948	en
dc.identifier.volume	39	en
dc.identifier.issue	4	en
dc.identifier.spage	815	en
dc.identifier.epage	828	en