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Window DEA

Window Data Envelopment Analysis (Window DEA) is a non-parametric panel efficiency method that evaluates decision-making units (DMUs) over time by embedding each DMU's observations across a rolling temporal window into a single cross-sectional DEA problem. Introduced by Charnes, Clark, Cooper, and Golany in 1984, it enables longitudinal efficiency tracking without requiring a full panel, increasing discriminatory power by pooling observations across consecutive periods.

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Window Data Envelopment Analysis

Taksonomisk metoderegister · regression-model / efficiency-analysis

Charnes, A., Clark, C. T., Cooper, W. W., & Golany, B. (1984). A developmental study of data envelopment analysis in measuring the efficiency of maintenance units in the U.S. Air Forces. Annals of Operations Research, 2(1), 95–112. · DOI 10.1007/BF01874734

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Same method familyMalmquist Productivity Indexmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketNetwork DEAmachine-suggested · Relational suggestion, not evidence.