Efficiency Estimation using a Hybrid of Data Envelopment Analysis and Linear Regression
نویسنده
چکیده
Literature suggests two main approaches, parametric and non-parametric, for constructing efficiency frontiers using which efficiency scores of other units can be based. Parametric functions can be either deterministic or stochastic in nature. However, when multiple inputs and outputs are encountered, Data Envelopment Analysis (DEA), a non-parametric approach, is a powerful tool used for decades in measurement of productivity/efficiency with wide range of applications. Both approaches have its advantages and limitations. This paper attempts to further explore and validate a hybrid approach, taking the best of both DEA and parametric approach, in order to estimate efficiency of Decision Making Units (DMUs) in an even better way.
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