Improved performance evaluation of comparable units with data envelopment analysis (DEA)

Ronald Klimberg; Kenneth D. Lawrence; Sheila M. Lawrence

doi:10.1016/S1477-4070(07)00204-8

Improved performance evaluation of comparable units with data envelopment analysis (DEA)

Ronald Klimberg
, Kenneth D. Lawrence
, Sheila M. Lawrence

MT School of Management

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

Regression analysis is a commonly applied technique used to measure the relationship/predict/forecast of comparable units. A set of comparable units is some group of entities each performing somewhat the same set of activities. In this chapter, we will apply a modified version of our recently developed methodology to incorporate into the regression analysis a new variable that captures the unique weighting of each comparable unit. This new variable is the relative efficiency of each comparable unit that will be generated by a technique called data envelopment analysis (DEA). The results of applying this methodology with the DEA variable to a hospital labor data set will be presented.

Original language	English (US)
Pages (from-to)	65-75
Number of pages	11
Journal	Advances in Business and Management Forecasting
Volume	5
DOIs	https://doi.org/10.1016/S1477-4070(07)00204-8
State	Published - 2008

All Science Journal Classification (ASJC) codes

General Business, Management and Accounting

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10.1016/S1477-4070(07)00204-8

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AB - Regression analysis is a commonly applied technique used to measure the relationship/predict/forecast of comparable units. A set of comparable units is some group of entities each performing somewhat the same set of activities. In this chapter, we will apply a modified version of our recently developed methodology to incorporate into the regression analysis a new variable that captures the unique weighting of each comparable unit. This new variable is the relative efficiency of each comparable unit that will be generated by a technique called data envelopment analysis (DEA). The results of applying this methodology with the DEA variable to a hospital labor data set will be presented.

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JO - Advances in Business and Management Forecasting

JF - Advances in Business and Management Forecasting

ER -

Improved performance evaluation of comparable units with data envelopment analysis (DEA)

Abstract

All Science Journal Classification (ASJC) codes

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