Data Envelopment Analysis: From Foundations to Modern Advancements

Zhichao Wang and Valentin Zelenyuk

Foundations and Trends(R) in Econometrics, 2024, vol. 13, issue 3, 170-282

Abstract: Data envelopment analysis (DEA) is a mainstream method for efficiency and productivity analysis, widely applied in numerous fields, including the healthcare sector, banking, energy generation and distribution, and cross-country economic growth analysis. In this monograph, we aim to provide a compendious overview of DEA. We start with the DEA estimators in various scenarios, such as for estimating technology, cost, revenue, profit functions and related efficiency measures, and its popular variants based on different assumptions about the shape of technology. The statistical properties and extensions on DEA, such as analysis on covariates of efficiency, are also discussed and the practical tips for computations are provided.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:now:fnteco:0800000040

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