Integrating categorical variables in data envelopment analysis models: a simple solution technique

DOI10.1016/J.EJOR.2009.05.032zbMath1176.90300OpenAlexW2153127189MaRDI QIDQ1041013

Gerrit Löber, Matthias Staat

Publication date: 27 November 2009

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

Full work available at URL: https://doi.org/10.1016/j.ejor.2009.05.032

zbMATH Keywords

returns to scalecategorical variablesnon-discretionary variables

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Management decision making, including multiple objectives (90B50)

Related Items (3)

The impossibility of convex constant returns-to-scale production technologies with exogenously fixed factors ⋮ Flexible factors in categorized data for data envelopment analysis ⋮ Exploring the potential of data envelopment analysis for enhancing pay-for-performance programme design in primary health care

Uses Software

• DEAP

Cites Work

• Unnamed Item
• Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
• Measuring the efficiency of decision making units
• Estimation and inference in two-stage, semi-parametric models of production processes
• On the measurement of technical efficiency in the public sector
• Non-discretionary and discretionary factors and scale in data envelopment analysis
• Linear programming approaches to the measurement and analysis of productive efficiency
• Evaluating alternative DEA models used to control for non-discretionary inputs
• Efficiency Analysis for Exogenously Fixed Inputs and Outputs
• Techniques for Removing Nonbinding Constraints and Extraneous Variables from Linear Programming Problems

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