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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
- Pratsini E (1999). “Frontier Analysis in Air Pollution.” JORS 50(5): 526-530.
- Premachandra I, JG Powell and S Jing (1998). “Measuring the Relative Efficiency of Fund Management Strategies in New Zealand Using a Spreadsheet-Based Stochastic Data Envelopment Analysis Model.” Omega 26(2): 319-331.
- Premachandra IM (2001). “Controlling Factor Weights in Data Envelopment Analysis by Incorporating Decision Maker’s Value Judgement: An Approach Based on AHP.” Int J Information and Management Sciences 12(2): 67-82.
- Premachandra IM (2001). “A Note on DEA vs. Principal Component Analysis: An Improvement to Joe Zhu’s Approach.” EJOR 132(3): 553-560.
- Premachandra IM, JG Powell and J Shi (1998). “Measuring the Relative Efficiency of Fund Management Strategies.” Omega 26(2): 319.
- Price CW and T WeymanJones (1996). “Malmquist Indices of Productivity Change in the UK Gas Industry before and after Privatization.” Appl Econ 28(1): 29-39.
- Prieto AM and JL ZofIo (2001). “Evaluating Effectiveness in Public Provision of Infrastructure and Equipment: the Case of Spanish Municipalities.” JPA 15(1): 41-58.
- Prieto AM and JL Zofio (2007). “Network DEA Efficiency in Input-Output Models: With an Application to OECD Countries.” EJOR 178(1): 292-304.
- Post GT and J Spronk (2000). “Evaluating Productive Performance under Uncertainty: Combining Data Envelopment Analysis, Mean-Variance Analysis, and Multi-Factor Risk Models.” in Shi Y and M Zeleny (eds.) New Frontiers of Decision Making for the Information Technology Era: 249-269.
- Primont DF and B Domazlicky (2006). “Student Achievement and Efficiency in Missouri Schools and the No Child Left Behind Act.” Economics of Education Review 25(1): 77-90.














