Krüger, Jens (2011)
A Monte Carlo Study of Old and New Frontier Methods
for Efficiency Measurement.
Report, Bibliographie
Kurzbeschreibung (Abstract)
This study presents the results of an extensive Monte Carlo experiment to compare different methods of efficiency analysis. In addition to traditional parametric-stochastic and nonparametric-deterministic methods recently developed robust nonparametric-stochastic methods are considered. The experimental design comprises a wide variety of situations with different returns-to-scale regimes, substitution elasticities and outlying observations. As the results show, the new robust nonparametric-stochastic methods should not be used without cross-checking by other methods like stochastic frontier analysis or data envelopment analysis. These latter methods appear quite robust in the experiments.
| Typ des Eintrags: | Report |
|---|---|
| Erschienen: | 2011 |
| Autor(en): | Krüger, Jens |
| Art des Eintrags: | Bibliographie |
| Titel: | A Monte Carlo Study of Old and New Frontier Methods for Efficiency Measurement |
| Sprache: | Englisch |
| Publikationsjahr: | Februar 2011 |
| Ort: | Darmstadt |
| Reihe: | Darmstadt Discussion Papers in Economics |
| Band einer Reihe: | 200 |
| Kurzbeschreibung (Abstract): | This study presents the results of an extensive Monte Carlo experiment to compare different methods of efficiency analysis. In addition to traditional parametric-stochastic and nonparametric-deterministic methods recently developed robust nonparametric-stochastic methods are considered. The experimental design comprises a wide variety of situations with different returns-to-scale regimes, substitution elasticities and outlying observations. As the results show, the new robust nonparametric-stochastic methods should not be used without cross-checking by other methods like stochastic frontier analysis or data envelopment analysis. These latter methods appear quite robust in the experiments. |
| Freie Schlagworte: | Monte Carlo experiment, efficiency measurement, nonparametric stochastic methods |
| Zusätzliche Informationen: | C14, D24, C15 |
| Fachbereich(e)/-gebiet(e): | 01 Fachbereich Rechts- und Wirtschaftswissenschaften 01 Fachbereich Rechts- und Wirtschaftswissenschaften > Volkswirtschaftliche Fachgebiete 01 Fachbereich Rechts- und Wirtschaftswissenschaften > Volkswirtschaftliche Fachgebiete > Fachgebiet Empirische Wirtschaftsforschung |
| Hinterlegungsdatum: | 07 Feb 2011 12:30 |
| Letzte Änderung: | 29 Mai 2016 21:17 |
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