Florens, Jean-Pierre, Simar, Léopold and Van Keilegom, Ingrid (2014) Frontier Estimation in Nonparametric Location-Scale Models. Journal of Econometrics, vol. 178 (n° 3). pp. 456-470.
Full text not available from this repository.Abstract
Conditional efficiency captures efficiency of firms facing heterogeneous environmental conditions. Traditional approaches estimate nonparametrically conditional distribution requiring smoothing techniques. We rather use a flexible nonparametric location-scale model to eliminate the dependence of inputs/outputs on these factors. These “pre-whitened” inputs/outputs define the optimal frontier function and a “pure” measure of efficiency more reliable to produce rankings, since the influence of external factors has been eliminated. Both full and order-mm frontiers are used. The asymptotic properties are established. We can also derive the frontiers in the original units with their asymptotic properties. The approach is illustrated with some simulated and real data.
Item Type: | Article |
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Language: | English |
Date: | January 2014 |
Refereed: | Yes |
Uncontrolled Keywords: | Nonparametric frontiers, Efficiency analysis, Robust estimation of frontiers, Conditional efficiency |
JEL Classification: | C13 - Estimation C14 - Semiparametric and Nonparametric Methods C49 - Other |
Subjects: | B- ECONOMIE ET FINANCE |
Divisions: | TSE-R (Toulouse) |
Site: | UT1 |
Date Deposited: | 09 Jul 2014 17:45 |
Last Modified: | 02 Apr 2021 15:48 |
OAI Identifier: | oai:tse-fr.eu:28222 |
URI: | https://publications.ut-capitole.fr/id/eprint/15926 |