When, where and how to perform efficiency estimation
AbstractIn 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 andWilson (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.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 33467.
Date of creation: 16 Sep 2011
Date of revision:
Bootstrap; Nonparametric kernel; Technical efficiency;
Other versions of this item:
- Oleg Badunenko & Daniel J. Henderson & Subal C. Kumbhakar, 2012. "When, where and how to perform efficiency estimation," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(4), pages 863-892, October.
- Badunenko, Oleg & Henderson, Daniel J. & Kumbhakar, Subal C., 2011. "When, Where and How to Perform Efficiency Estimation," IZA Discussion Papers 5997, Institute for the Study of Labor (IZA).
- Oleg Badunenko & Daniel J. Henderson & Subal C. Kumbhakar, 2011. "When, where and how to perform efficiency estimation," Cologne Graduate School Working Paper Series 02-06, Cologne Graduate School in Management, Economics and Social Sciences.
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
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