Tackling the omitted variables problem without the strong assumptions of proxies

DOI10.1016/j.ejor.2006.02.022zbMath1163.90554OpenAlexW2033361702MaRDI QIDQ859696

Tomoo Inoue, Jonathan E. Leightner

Publication date: 16 January 2007

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

Full work available at URL: https://doi.org/10.1016/j.ejor.2006.02.022

zbMATH Keywords

data envelopment analysismonetary policyomitted variables

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50)

Related Items (2)

Solving the omitted variables problem of regression analysis using the relative vertical position of observations ⋮ Capturing climate's effect on pollution abatement with an improved solution to the omitted variables problem

Cites Work

• Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
• Measuring the efficiency of decision making units
• The Coefficient of Resource Utilization
• Unnamed Item

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