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Latest bibliography of DEA with more than 10,000 articles
Mergoni, A. A. Emrouznejad, and K. De Witte (2025) Fifty years of Data Envelopment Analysis, European Journal of Operational Research, 326 (3): 389-412. https://doi.org/10.1016/j.ejor.2024.12.049.
CLICK HERE to download review of Fifty years of Data Envelopment Analysis
CLICK HERE to download bibliography (1978-2016)
CLICK HERE to download Supplement with list of over 10,000 articles
biblio
- Pendharkar PC (2002). “A Potential Use of Data Envelopment Analysis for the Inverse Classification Problem.” Omega 30(3): 243-248.
- Pastor JT, JL Ruiz and I Sirvent (2002). “A Statistical Test for Nested Radial DEA Models.” Operations Research 50(4): 728-735.
- Paul CJM (1999). Cost Structure and the Measurement of Economic Performance: Productivity, Utilization, Cost Economics, and Related Performance Indicators, Springer.
- Paul CM, R Nehring, D Banker and A Somwaru (2004). “Scale Economics and Efficiency in U.S. Agriculture: Are Traditional Farms History?” JPA 22(3): 185-205.
- Pavananunt K (2004). “Hospital Efficiency: A Study of Public Community Hospital in Thailand.” in Emrouznejad A and V Podinovski (eds.) Proceedings of DEA2004, Birmingham, UK: 197.
- Pavlopoulos P and A Kouzelis (1989). “Cost Behaviour in the Banking Industry: Evidence from a Greek Commercial Bank.” Appl Econ 2: 285-293.
- Pavur R and C Loucopoulos (1995). “Examining Optimal Criterion Weights in Mixed Integer Programming Approaches to the Multiple-Group Classification Problem.” JORS 46(5): 626-640.
- PE J, K J and M DR. (1994). “An Analysis of Gainsharing in a Health Care Setting.” Health Care Supervisor 13(2): 44-50.
- Peck MW, Jr., CA Scheraga and RP Boisjoly (1998). “Assessing the Relative Efficiency of Aircraft Maintenance Technologies: An Application of Data Envelopment Analysis.” Transportation Research Part A: Policy and Practice 32A(4): 261-269.
- Pedraja-Chaparro F and J Salinas-Jimanez (1996). “An Assessment of the Efficiency of Spanish Courts Using DEA.” Appl Econ 28(11): 1391-1403.














