Modeling Blank Data Entries in Data Envelopment Analysis

Timo Kuosmanen ()

Econometrics from EconWPA

Abstract: We show how Data Envelopment Analysis (DEA) can handle missing data. When blank data entries are coded by appropriate dummy values, the DEA model automatically excludes the missing data from the analysis. We extend this result to weight-restricted DEA models by presenting a simple modification to the usual weight restrictions, which automatically relaxes the weight restriction in case of missing data. Our approach is illustrated by a case study, describing an application to international sustainable development indices.

Keywords: Data Envelopment Analysis; Weight Restrictions; Missing Data; Blank Entries (search for similar items in EconPapers)
JEL-codes: C6 C8 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ecm
Date: 2002-10-08
Note: Type of Document -
View list of references View citations in EconPapers

Downloads: (external link)
http://129.3.20.41/eps/em/papers/0210/0210001.pdf (application/pdf)

Related works:
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: http://EconPapers.repec.org/RePEc:wpa:wuwpem:0210001

Access Statistics for this paper

More papers in Econometrics from EconWPA
Series data maintained by EconWPA ().