Progressing from uncertainty to risk for DEA-based decisions

Autor: B. Hemily, Darold T. Barnum, P. Wang, Justin Yifu Lin, John M. Gleason
Rok vydání: 2010
Předmět:
Zdroj: Journal of the Operational Research Society. 61:1548-1555
ISSN: 1476-9360
0160-5682
DOI: 10.1057/jors.2009.120
Popis: We demonstrate a methodology for estimating, with a specified probability, the interval within which the true DEA efficiency of an individual Decision Making Unit occurs. With this procedure, decisions based on DEA scores are made under conditions of risk, as opposed to the current practice in which decisions are made under uncertainty. The method applies statistical Panel Data Analysis (PDA), which provides proven and powerful methodologies for diagnostic testing of residuals and estimation of confidence intervals. Using PDA, we demonstrate, with a sample of real-world data, that DEA score residuals sometimes are independent and Normally distributed, and estimate confidence intervals based on these validated assumptions. Then, using another sample of real-world data in which violations of these assumptions do occur, we demonstrate well-known PDA Generalized Least Squares statistical models that account for the violations in the estimation of confidence intervals. Journal of the Operational Research Society (2010) 61, 1548-1555. doi:10.1057/jors.2009.120 Published online 28 October 2009
Databáze: OpenAIRE
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