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Efficiency measurement by data envelopment analysis with econometric applications

Jati Kumar Sengupta, Raymond E. Sfeir

Open publisher page 27 citations

Abstract

A method of estimating the production frontier known as data envelopment analysis (DEA) is applied here through a set of tests to examine its robustness. The empirical application shows that in suitable cases the DEA method proves superior to the ordinary regression method as regards robustness and other measures of sensitivity of parameter estimates.

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What this paper is about

A method of estimating the production frontier known as data envelopment analysis (DEA) is applied here through a set of tests to examine its robustness. The empirical application shows that in suitable cases the DEA method proves superior to the ordinary regression method as regards robustness and other measures of sensitivity of parameter estimates.

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OpenAlex reports 27 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A method of estimating the production frontier known as data envelopment analysis (DEA) is applied here through a set of tests to examine its robustness. The empirical application shows that in suitable cases the DEA method proves superior to the ordinary regression method as regards robustness and other measures of sensitivity of parameter estimates.

Key concepts: Data envelopment analysis, Robustness (evolution), Econometrics, Production–possibility frontier, Economics, Envelopment, Frontier, Regression analysis

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