Arbeitspapier
When, where and how to perform efficiency estimation
In this paper we compare two flexible estimators of technical efficiency in a cross-sectional setting: the nonparametric kernel SFA estimator of Fan, Li and Weersink (1996) to the nonparametric bias corrected DEA estimator of Kneip, Simar and Wilson (2008). We assess the finite sample performance of each estimator via Monte Carlo simulations and empirical examples. We find that the reliability of efficiency scores critically hinges upon the ratio of the variation in efficiency to the variation in noise. These results should be a valuable resource to both academic researchers and practitioners.
- Sprache
-
Englisch
- Erschienen in
-
Series: IZA Discussion Papers ; No. 5997
- Klassifikation
-
Wirtschaft
Semiparametric and Nonparametric Methods: General
- Thema
-
bootstrap
nonparametric kernel
technical efficiency
Technische Effizienz
Schätztheorie
Data-Envelopment-Analyse
Bootstrap-Verfahren
Monte-Carlo-Methode
Schätzung
USA
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Badunenko, Oleg
Henderson, Daniel J.
Kumbhakar, Subal C.
- Ereignis
-
Veröffentlichung
- (wer)
-
Institute for the Study of Labor (IZA)
- (wo)
-
Bonn
- (wann)
-
2011
- Handle
- URN
-
urn:nbn:de:101:1-201110263355
- Letzte Aktualisierung
-
10.03.2025, 11:41 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Badunenko, Oleg
- Henderson, Daniel J.
- Kumbhakar, Subal C.
- Institute for the Study of Labor (IZA)
Entstanden
- 2011
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