RT Journal Article
T1 Monte-Carlo Comparison of Conditional Nonparametric Methods and Traditional Approaches to Include Exogenous Variables
A1 Cordero, José Manuel
A1 Polo, Cristina
A1 Santín González, Daniel
A1 Sicilia, Gabriela
AB 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.
PB Wiley-Blackwell
SN 1468-0106
YR 2016
FD 2016
LK https://hdl.handle.net/20.500.14352/23640
UL https://hdl.handle.net/20.500.14352/23640
LA eng
NO Special Issue: Economic Growth, Productivity, and Efficiency
NO Ministerio de Economía y Competitividad (MINECO)
DS Docta Complutense
RD 15 dic 2025