Testing the accuracy of DEA estimates under endogeneity through a Monte Carlo simulation

DOI10.1016/j.ejor.2015.01.015zbMath1346.90419OpenAlexW1970461160MaRDI QIDQ319393

Gabriela Sicilia, Daniel Santín, José Manuel Cordero

Publication date: 6 October 2016

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2015.01.015

zbMATH Keywords

endogeneitydata envelopment analysisMonte Carlo experiments

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08)

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Cites Work

• Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
• Measuring the efficiency of decision making units
• Testing procedures for detection of linear dependencies in efficiency models
• Model misspecification in data envelopment analysis
• A Monte Carlo study of old and new frontier methods for efficiency measurement
• Data Envelopment Analysis as Nonparametric Least-Squares Regression
• On the quality of the data envelopment analysis model
• Representation theorem for convex nonparametric least squares
• Maximum Likelihood, Consistency and Data Envelopment Analysis: A Statistical Foundation
• Measuring and managing educational performance
• Experimental evidence on robustness of data envelopment analysis
• Content analysis of data envelopment analysis literature and its comparison with that of other OR/MS fields
• The Potential for Endogeneity Bias in Data Envelopment Analysis
• Pitfalls and protocols in DEA

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