Comparing Structural Efficiency of Unbalanced Subsamples: A Resampling Adaptation of Data Envelopment Analysis

At a general level the question is adressed, how to compare structural efficiencies for subgroups in the framework of data envelopment analysis. If a multiproduct technology is employed in estimating the production possibility frontier and if the subgroups are distinguished by products, then specif...

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Main Author: Gstach, Dieter
Format: Others
Language:en
Published: Inst. für Volkswirtschaftstheorie und -politik, WU Vienna University of Economics and Business 1993
Online Access:http://epub.wu.ac.at/6299/1/WP_24.pdf
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spelling ndltd-VIENNA-oai-epub.wu-wien.ac.at-62992018-05-05T05:18:54Z Comparing Structural Efficiency of Unbalanced Subsamples: A Resampling Adaptation of Data Envelopment Analysis Gstach, Dieter At a general level the question is adressed, how to compare structural efficiencies for subgroups in the framework of data envelopment analysis. If a multiproduct technology is employed in estimating the production possibility frontier and if the subgroups are distinguished by products, then specific problems arise. It is illustrated by Monte-Carlo techniques that there may be considerable bias in relative structural efficiencies due to unbalanced numbers of observations for different subgroups. A resampling procedure is shown to outperform the simple estimators from data envelopment analysis in such circumstances. The method proposed is applied to austrian farming data to derive conclusions about the relationship between certain specialization patterns and efficiency. Inst. für Volkswirtschaftstheorie und -politik, WU Vienna University of Economics and Business 1993 Paper NonPeerReviewed en application/pdf http://epub.wu.ac.at/6299/1/WP_24.pdf Series: Department of Economics Working Paper Series http://epub.wu.ac.at/6299/
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description At a general level the question is adressed, how to compare structural efficiencies for subgroups in the framework of data envelopment analysis. If a multiproduct technology is employed in estimating the production possibility frontier and if the subgroups are distinguished by products, then specific problems arise. It is illustrated by Monte-Carlo techniques that there may be considerable bias in relative structural efficiencies due to unbalanced numbers of observations for different subgroups. A resampling procedure is shown to outperform the simple estimators from data envelopment analysis in such circumstances. The method proposed is applied to austrian farming data to derive conclusions about the relationship between certain specialization patterns and efficiency. === Series: Department of Economics Working Paper Series
author Gstach, Dieter
spellingShingle Gstach, Dieter
Comparing Structural Efficiency of Unbalanced Subsamples: A Resampling Adaptation of Data Envelopment Analysis
author_facet Gstach, Dieter
author_sort Gstach, Dieter
title Comparing Structural Efficiency of Unbalanced Subsamples: A Resampling Adaptation of Data Envelopment Analysis
title_short Comparing Structural Efficiency of Unbalanced Subsamples: A Resampling Adaptation of Data Envelopment Analysis
title_full Comparing Structural Efficiency of Unbalanced Subsamples: A Resampling Adaptation of Data Envelopment Analysis
title_fullStr Comparing Structural Efficiency of Unbalanced Subsamples: A Resampling Adaptation of Data Envelopment Analysis
title_full_unstemmed Comparing Structural Efficiency of Unbalanced Subsamples: A Resampling Adaptation of Data Envelopment Analysis
title_sort comparing structural efficiency of unbalanced subsamples: a resampling adaptation of data envelopment analysis
publisher Inst. für Volkswirtschaftstheorie und -politik, WU Vienna University of Economics and Business
publishDate 1993
url http://epub.wu.ac.at/6299/1/WP_24.pdf
work_keys_str_mv AT gstachdieter comparingstructuralefficiencyofunbalancedsubsamplesaresamplingadaptationofdataenvelopmentanalysis
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