Journal ArticleDOI
One-stage and two-stage DEA estimation of the effects of contextual variables
Andrew L. Johnson,Timo Kuosmanen +1 more
TLDR
A new semi-nonparametric one-stage estimator for the coefficients of the contextual variables that directly incorporates contextual variables to the standard DEA problem is developed, and evidence from Monte Carlo simulations suggests that the new 1-DEA estimator performs systematically better than the conventional 2-DEa estimator both in deterministic and noisy scenarios.About:
This article is published in European Journal of Operational Research.The article was published on 2012-07-16. It has received 128 citations till now. The article focuses on the topics: Data envelopment analysis & Estimator.read more
Citations
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Journal ArticleDOI
Research fronts in data envelopment analysis
TL;DR: This study applies a network clustering method to group the literature through a citation network established from the DEA literature over the period 2000 to 2014, and presents the research fronts, a coherent topic or issue addressed by a group of research articles in recent years.
Journal ArticleDOI
Production Frontier Methodologies and Efficiency as a Performance Measure in Strategic Management Research
TL;DR: This article demonstrates how frontier methodologies, such as Data Envelopment Analysis and the Stochastic Frontier approach, can address the challenges of measurement of corporate performance.
Journal ArticleDOI
Stochastic semi-nonparametric frontier estimation of electricity distribution networks: Application of the StoNED method in the Finnish regulatory model
TL;DR: In this paper, a stochastic nonparametric envelopment of data (StoNED) method is proposed to estimate the cost frontier of electricity distribution networks in the regulatory framework.
Journal ArticleDOI
One-stage estimation of the effects of operational conditions and practices on productive performance: asymptotically normal and efficient, root-n consistent StoNEZD method
Andrew L. Johnson,Timo Kuosmanen +1 more
TL;DR: In this article, a one-stage semi-nonparametric estimator for data envelopment of z variables data (StoNEZD) is proposed, which combines the nonparametric DEA-style frontier with a regression model of the contextual variables.
Journal ArticleDOI
What is the best practice for benchmark regulation of electricity distribution? Comparison of DEA, SFA and StoNED methods
TL;DR: In this paper, the authors compare the impacts of methodological choices on cost efficiency estimates and acceptable cost using data from Finland, and examine performance of the methods by Monte Carlo simulations, and find that the StoNED estimator yields a root mean squared error (RMSE) of 4%.
References
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Book
Robust Regression and Outlier Detection
TL;DR: This paper presents the results of a two-year study of the statistical treatment of outliers in the context of one-Dimensional Location and its applications to discrete-time reinforcement learning.
Book
Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software
TL;DR: In this article, the basic CCR model and DEA models with restricted multipliers are discussed. But they do not consider the effect of non-discretionary and categorical variables.
Journal ArticleDOI
Estimation and inference in two-stage, semi-parametric models of production processes
Léopold Simar,Paul W. Wilson +1 more
TL;DR: In this paper, a coherent data-generating process (DGP) is described for nonparametric estimates of productive efficiency on environmental variables in two-stage procedures to account for exogenous factors that might affect firms’ performance.
Journal ArticleDOI
Efficiency Analysis for Exogenously Fixed Inputs and Outputs
Rajiv D. Banker,Richard C. Morey +1 more
TL;DR: This work evaluates the relative technical and scale efficiencies of decision making units DMUs when some of the inputs or outputs are exogenously fixed and beyond the discretionary control of DMU managers through mathematical programming formulations.