Data Envelopment Analysis in a Stochastic Setting: The right answer from the wrong model?
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 t...
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Inst. für Volkswirtschaftstheorie und -politik, WU Vienna University of Economics and Business
1994
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| Online Access: | http://epub.wu.ac.at/6304/1/WP_29.pdf |
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ndltd-VIENNA-oai-epub.wu-wien.ac.at-63042018-05-08T05:57:37Z Data Envelopment Analysis in a Stochastic Setting: The right answer from the wrong model? Gstach, Dieter 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. Inst. für Volkswirtschaftstheorie und -politik, WU Vienna University of Economics and Business 1994-08 Paper NonPeerReviewed en application/pdf http://epub.wu.ac.at/6304/1/WP_29.pdf Series: Department of Economics Working Paper Series http://epub.wu.ac.at/6304/ |
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NDLTD |
| language |
en |
| format |
Others
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| sources |
NDLTD |
| description |
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. === Series: Department of Economics Working Paper Series |
| author |
Gstach, Dieter |
| spellingShingle |
Gstach, Dieter Data Envelopment Analysis in a Stochastic Setting: The right answer from the wrong model? |
| author_facet |
Gstach, Dieter |
| author_sort |
Gstach, Dieter |
| title |
Data Envelopment Analysis in a Stochastic Setting: The right answer from the wrong model? |
| title_short |
Data Envelopment Analysis in a Stochastic Setting: The right answer from the wrong model? |
| title_full |
Data Envelopment Analysis in a Stochastic Setting: The right answer from the wrong model? |
| title_fullStr |
Data Envelopment Analysis in a Stochastic Setting: The right answer from the wrong model? |
| title_full_unstemmed |
Data Envelopment Analysis in a Stochastic Setting: The right answer from the wrong model? |
| title_sort |
data envelopment analysis in a stochastic setting: the right answer from the wrong model? |
| publisher |
Inst. für Volkswirtschaftstheorie und -politik, WU Vienna University of Economics and Business |
| publishDate |
1994 |
| url |
http://epub.wu.ac.at/6304/1/WP_29.pdf |
| work_keys_str_mv |
AT gstachdieter dataenvelopmentanalysisinastochasticsettingtherightanswerfromthewrongmodel |
| _version_ |
1718635303266156544 |