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Monte-Carlo Comparison of Conditional Nonparametric Methods and Traditional Approaches to Include Exogenous Variables

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Cordero, José Manuel and Polo, Cristina and Santín González, Daniel and Sicilia, Gabriela (2016) Monte-Carlo Comparison of Conditional Nonparametric Methods and Traditional Approaches to Include Exogenous Variables. Pacific Economic Review, 21 (4). pp. 483-497. ISSN 1468-0106

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Official URL: https://doi.org/10.1111/1468-0106.12194




Abstract

The aim of this paper is to compare the performance of the conditional nonparametric approach with several traditional nonparametric methods to incorporate the effect of exogenous or environmental variables into the estimation of efficiency measures. To do this, we conduct a Monte Carlo experiment using a translog production function with one output, two discretionary inputs and two exogenous variables to generate simulated data. According to the values of different accuracy measures calculated to evaluate the performance of each method, the conditional data envelopment analysis clearly outperforms all the traditional alternatives.


Item Type:Article
Additional Information:

Special Issue: Economic Growth, Productivity, and Efficiency

Uncontrolled Keywords:Nonparametric methods; Data envelopment analysis; Free disposal hull.
Subjects:Sciences > Statistics > Probabilities
ID Code:56261
Deposited On:09 Jul 2019 09:18
Last Modified:09 Jul 2019 10:51

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