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Approximations and inference for nonparametric production frontiers

Daraio, Cinzia; Simar, Léopold - 2022

Nonparametric methods have been widely used for assessing the performance of organizations in the private and public sector. The most popular ones are based on envelopment estimators, like the FDH or DEA estimators, that estimate the attainable sets and its efficient boundary by enveloping the...

Persistent link: https://www.econbiz.de/10013193298

Improving finite sample approximation by central limit theorems for estimates from Data Envelopment Analysis

Simar, Léopold; Zelenyuk, Valentin - In: European journal of operational research : EJOR 284 (2020) 3, pp. 1002-1015

Persistent link: https://www.econbiz.de/10012238931

Hypothesis testing in nonparametric models of production using multiple sample splits

Simar, Léopold; Wilson, Paul W. - In: Journal of productivity analysis : an official journal … 53 (2020) 3, pp. 287-303

Persistent link: https://www.econbiz.de/10012228857

Testing hypotheses in nonparametric models of production

Kneip, Alois; Simar, Léopold; Wilson, Paul W. - In: Journal of business & economic statistics : JBES ; a … 34 (2016) 3, pp. 435-456

Persistent link: https://www.econbiz.de/10011691659

Technical, allocative and overall efficiency : estimation and inference

Simar, Léopold; Wilson, Paul W. - In: European journal of operational research : EJOR 282 (2020) 3, pp. 1164-1176

Persistent link: https://www.econbiz.de/10012161888

Improving finite sample approximation by central limit theorems for estimates from data envelopment analysis

Simar, Léopold; Zelenyuk, Valentin - 2020 - Revised version

Persistent link: https://www.econbiz.de/10012428198

Central limit theorems for aggregate efficiency

Simar, Léopold; Zelenyuk, Valentin - In: Operations research 66 (2018) 1, pp. 137-149

Persistent link: https://www.econbiz.de/10011818609