Methoden vergleichen

	Super-Effizienz Data Envelopment Analysis	Bootstrap DEA: Bias-Korrektur und Konfidenzintervalle für Effizienzwerte
Fachgebiet	Effizienzanalyse	Effizienzanalyse
Familie	Regression model	Regression model
Entstehungsjahr	1993	1998
Urheber	Andersen & Petersen	Simar & Wilson
Typ	Nonparametric linear programming model	Nonparametric efficiency estimation with bootstrap inference
Wegweisende Quelle	Andersen, P., & Petersen, N. C. (1993). A procedure for ranking efficient units in data envelopment analysis. Management Science, 39(10), 1261–1264.	Simar, L., & Wilson, P. W. (1998). Sensitivity analysis of efficiency scores: How to bootstrap in nonparametric frontier models. Management Science, 44(1), 49–61.
Aliasnamen	Andersen-Petersen Model, Super-Radial DEA, Ranking DEA, Süper Etkinlik VZA	Bootstrapped DEA, DEA Bootstrap Inference, Simar-Wilson Bootstrap, Bootstrap Sınır Analizi
Verwandt	2	2
Zusammenfassung	Super-Efficiency DEA is a nonparametric linear programming extension of classical Data Envelopment Analysis (DEA) introduced by Andersen and Petersen (1993). While standard DEA assigns a maximum efficiency score of 1.0 to all units on the efficient frontier, Super-Efficiency DEA allows efficient units to receive scores greater than 1.0 by temporarily removing the evaluated unit from the reference set. This modification enables full ranking of all decision-making units (DMUs), including those previously indistinguishable at the frontier.	Bootstrap Data Envelopment Analysis (Bootstrap DEA) is a resampling-based extension of standard DEA that provides statistically valid inference for efficiency scores. Introduced by Simar and Wilson in 1998, it addresses the core weakness of classical DEA — its inability to quantify uncertainty in estimated scores — by constructing bootstrap confidence intervals and bias-corrected efficiency estimates from repeatedly resampled pseudo-frontiers.