Multi-Factor Policy Evaluation and Selection in the One-Sample Situation
AbstractFirms nowadays need to make decisions with fast information obsolesce. In this paper I deal with one class of decision problems in this situation, called the â€œone-sampleâ€ problems: we have finite options and one sample of the multiple criteria with which we use to evaluate those options. I develop evaluation procedures based on bootstrapping DEA (Data Envelopment Envelopment) and the related decision-making methods. This paper improves the bootstrap procedure proposed by Simar and Wilson (1998) and shows how to exploit information from bootstrap outputs for decision-making.
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Bibliographic InfoPaper provided by Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam. in its series Research Paper with number ERS-2008-084-LIS.
Date of creation: 11 Dec 2008
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Web page: http://www.erim.eur.nl/
data envelopment analysis; multiple criteria; R&D project; bootstrap; parametric transformation; supplier selection;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-01-10 (All new papers)
- NEP-ECM-2009-01-10 (Econometrics)
- NEP-EFF-2009-01-10 (Efficiency & Productivity)
- NEP-PPM-2009-01-10 (Project, Program & Portfolio Management)
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