• Medientyp: E-Book
  • Titel: Three-Stage DEA Models for Incorporating Exogenous Inputs
  • Beteiligte: Estelle, Sarah M. [Verfasser:in]; Johnson, Andrew L [Sonstige Person, Familie und Körperschaft]; Ruggiero, John [Sonstige Person, Familie und Körperschaft]
  • Erschienen: [S.l.]: SSRN, [2018]
  • Umfang: 1 Online-Ressource (17 p)
  • Sprache: Englisch
  • DOI: 10.2139/ssrn.1480785
  • Identifikator:
  • Entstehung:
  • Anmerkungen: In: Estella, S., A.L. Johnson, and J. Ruggiero, 2010. “Three-stage DEA Models for Incorporating Exogenous Inputs.” Computers and Operations Research 37(6): 1087-1090
    Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments September 30, 2009 erstellt
  • Beschreibung: In this paper, we discuss three-stage models that control for exogenous, non-discretionary inputs in data envelopment analysis. In a recent article in this journal, Monte Carlo analysis was employed to compare and contrast alternative DEA models that measure efficiency in the presence of exogenous variables. The methodology for comparison was flawed, calling into question the results presented. We introduce new second-stage models and compare and contrast them with simulated data
  • Zugangsstatus: Freier Zugang