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Optimal Bandwidth Selection for Conditional Efficiency Measures: a Data-driven Approach

Luiza Badin, Cinzia Daraio () and Leopold Simar

LEM Papers Series from Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy

Abstract: In productivity analysis an important issue is to detect how external (environmental) factors, exogenous to the production process and not under the control of the producer, might influence the production process and the resulting efficiency of the firms. Most of the traditional approaches proposed in the literature have serious drawbacks. An alternative approach is to describe the production process as being conditioned by a given value of the environmental variables (Cazals, Florens and Simar, 2002, Daraio and Simar, 2005). This defines conditional efficiency measures where the production set in the input × output space may depend on the value of the external variables. The statistical properties of nonparametric estimators of these conditional measures are now established (Jeong, Park and Simar, 2008). These involve the estimation of a nonstandard conditional distribution function which requires the specification of a smoothing parameter (a bandwidth). So far, only the asymptotic optimal order of this bandwidth has been established. This is of little interest for the practitioner. In this paper we fill this gap and we propose a data-driven technique for selecting this parameter in practice. The approach, based on a Least Squares Cross Validation procedure (LSCV), provides an optimal bandwidth that minimizes an appropriate integrated Mean Squared Error (MSE). The method is carefully described and exemplified with some simulated data with univariate and multivariate environmental factors. An application on real data (performances of Mutual Funds) illustrates how this new optimal method of bandwidth selection outperforms former methods.

Keywords: Nonparametric efficiency estimation; conditional efficiency measures; environmental factors; conditional distribution function; bandwidth. (search for similar items in EconPapers)
JEL-codes: C14 C40 C60 D20 (search for similar items in EconPapers)
Date: 2008-10-24
New Economics Papers: this item is included in nep-ecm, nep-eff, nep-env and nep-ore
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

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Journal Article: Optimal bandwidth selection for conditional efficiency measures: A data-driven approach (2010) Downloads
Working Paper: Optimal bandwidth selection for conditional efficiency measures: A data-driven approach (2010)
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