Improving finite sample approximation by central limit theorems for estimates from data envelopment analysis
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Publication:2178131
DOI10.1016/j.ejor.2020.01.036zbMath1441.90075OpenAlexW3001240458WikidataQ126308923 ScholiaQ126308923MaRDI QIDQ2178131
Léopold Simar, Valentin Zelenyuk
Publication date: 7 May 2020
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://economics.uq.edu.au/files/17227/WP012020.pdf
productivitydata envelopment analysisDEAstatistical inferencefree disposal hullFDHproduction efficiency
Applications of statistics to economics (62P20) Management decision making, including multiple objectives (90B50)
Related Items (4)
Data sharpening for improving central limit theorem approximations for data envelopment analysis-type efficiency estimators ⋮ Performance Analysis: Economic Foundations and Trends ⋮ Setting closer targets based on non-dominated convex combinations of Pareto-efficient units: a bi-level linear programming approach in data envelopment analysis ⋮ Combining data envelopment analysis and stochastic frontiers via a LASSO prior
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