The results of an experiment with simulated data show that using multiple positive lineal aggregators of the same inputs instead of the original variables increases the accuracy of the Data Envelopment Analysis (DEA) technical efficiency estimator in data sets beset by dimensionality problems. Aggregation of the inputs achieves more than the mere reduction of the number of variables, since replacement of the original inputs with an equal number of aggregates improves DEA performance in a wide range of case
Data envelopment analysis (DEA), the non-parametric approach to measuring efficiency, was widely u...
We develop a new Data Envelopment Analysis (DEA)-based methodology for measuring the efficiency of D...
In this paper we compare two flexible estimators of technical efficiency in a cross-sectional settin...
The results of an experiment with simulated data show that using multiple positive lineal aggregator...
The results of an experiment with simulated data show that combining inputs with different criteria ...
We extend the Tauer (2001) and Färe et al. (2004) analyses of aggregation bias in technical efficien...
We extend the Tauer (2001) and Färe et al. (2004) analyses of aggregation bias in technical efficien...
Collier, Johnson and Ruggiero (2011) deal with the problem of estimating technical efficiency using ...
Data envelopment analysis (DEA) is a technique for identifying the best practices of a given set of ...
YesData envelopment analysis (DEA) is a technique for identifying the best practices of a given set ...
The advent of data envelopment analysis (DEA) enabled the measurement of efficiency to be extended t...
A problem frequently encountered in Data Envelopment Analysis (DEA) is that the total number of inpu...
We extend the Tauer (2001) and Färeet al. (2004) analyses of aggregation bias in technical efficienc...
We develop a new Data Envelopment Analysis (DEA)-based methodology for measuring the efficiency of D...
Data envelopment analysis (DEA) is a non-parametric data oriented method for evaluating relative eff...
Data envelopment analysis (DEA), the non-parametric approach to measuring efficiency, was widely u...
We develop a new Data Envelopment Analysis (DEA)-based methodology for measuring the efficiency of D...
In this paper we compare two flexible estimators of technical efficiency in a cross-sectional settin...
The results of an experiment with simulated data show that using multiple positive lineal aggregator...
The results of an experiment with simulated data show that combining inputs with different criteria ...
We extend the Tauer (2001) and Färe et al. (2004) analyses of aggregation bias in technical efficien...
We extend the Tauer (2001) and Färe et al. (2004) analyses of aggregation bias in technical efficien...
Collier, Johnson and Ruggiero (2011) deal with the problem of estimating technical efficiency using ...
Data envelopment analysis (DEA) is a technique for identifying the best practices of a given set of ...
YesData envelopment analysis (DEA) is a technique for identifying the best practices of a given set ...
The advent of data envelopment analysis (DEA) enabled the measurement of efficiency to be extended t...
A problem frequently encountered in Data Envelopment Analysis (DEA) is that the total number of inpu...
We extend the Tauer (2001) and Färeet al. (2004) analyses of aggregation bias in technical efficienc...
We develop a new Data Envelopment Analysis (DEA)-based methodology for measuring the efficiency of D...
Data envelopment analysis (DEA) is a non-parametric data oriented method for evaluating relative eff...
Data envelopment analysis (DEA), the non-parametric approach to measuring efficiency, was widely u...
We develop a new Data Envelopment Analysis (DEA)-based methodology for measuring the efficiency of D...
In this paper we compare two flexible estimators of technical efficiency in a cross-sectional settin...