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A stochastic frontier cost function is estimated using panel data for the electricity generating industry in India. The impact of distributional and functional form assumptions on technical inefficiency and the sources of inefficiency are investigated by using maximum likelihood, GLS and...
Persistent link: https://www.econbiz.de/10014064832
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 andWilson (2008). We assess the finite sample performance...
Persistent link: https://www.econbiz.de/10009322640
In this paper nonparametric techniques are used to estimate higher-order moments of technical efficiency. The procedures developed in this paper allow the moments to be estimated with relative ease, while at the same not requiring restrictive assumptions on the distribution of inefficiency. The...
Persistent link: https://www.econbiz.de/10014049970
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...
Persistent link: https://www.econbiz.de/10013120128
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...
Persistent link: https://www.econbiz.de/10009422459
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