Data Envelopment Analysis in a Stochastic Setting: The right answer from the wrong model?

Gstach, Dieter (1994) Data Envelopment Analysis in a Stochastic Setting: The right answer from the wrong model? Department of Economics Working Paper Series, 29. Inst. für Volkswirtschaftstheorie und -politik, WU Vienna University of Economics and Business, Vienna.

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Abstract

Data envelopment analysis (DEA) is compared to stochastic production function estimation (SPFE) in a noisy setting. The statistic of interest is the average efficiency estimator. Monte-Carlo simulations show that the mean squared error of the DEA-estimator even for considerable noise remains below the MSE of the SPFE analogue. A bootstrapping approach is designed to get some first-step statistical underpinning of this DEA average efficiency estimator. The coverage of the bootstrapping approximation to the distribution of this estimator is shown to be fairly good.

Item Type: Paper
Divisions: Departments > Volkswirtschaft
Depositing User: Mohammad Al Hessan
Date Deposited: 07 May 2018 15:42
Last Modified: 22 Oct 2019 00:41
FIDES Link: https://bach.wu.ac.at/d/research/results/5044/
URI: https://epub.wu.ac.at/id/eprint/6304

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