Template-Type: ReDIF-Paper 1.0
Author-Name: Chen, C.M.
Author-Name-Last: Chen
Author-Name-First: Chien-Ming
Title: Multi-Factor Policy Evaluation and Selection in the One-Sample Situation
Abstract: Firms 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 “one-sample” 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.
Creation-Date: 2008-12-11
File-URL: https://repub.eur.nl/pub/14275/ERS-2008-084-LIS.pdf
File-Format: application/pdf
Series: RePEc:ems:eureri
Number: ERS-2008-084-LIS
Classification-JEL: C44, M, M11, R4
Keywords: R&D project, bootstrap, data envelopment analysis, multiple criteria, parametric transformation, supplier selection
Handle: RePEc:ems:eureri:14275