Estimation and inference in nonparametric frontier models: Recent developments and perspectives

L Simar, PW Wilson - Foundations and trends® in …, 2013 - nowpublishers.com
Nonparametric estimators are widely used to estimate the productive efficiency of firms and
other organizations, but often without any attempt to make statistical inference. Recent work …

Statistical approaches for non‐parametric frontier models: a guided tour

L Simar, PW Wilson - International Statistical Review, 2015 - Wiley Online Library
A rich theory of production and analysis of productive efficiency has developed since the
pioneering work by Tjalling C. Koopmans and Gerard Debreu. Michael J. Farrell published …

Ranking national innovation systems according to their technical efficiency

MM Matei, A Aldea - Procedia-Social and Behavioral Sciences, 2012 - Elsevier
The purpose of this study is to measure and compare the performance of the National
Innovation Systems using the information available in IUS 2011 database. In order to fulfill …

Categorical data in local maximum likelihood: theory and applications to productivity analysis

BU Park, L Simar, V Zelenyuk - Journal of Productivity Analysis, 2015 - Springer
In this paper we consider estimation of models popular in efficiency and productivity analysis
(such as the stochastic frontier model, truncated regression model, etc.) via the local …

The 'wrong skewness' problem: a re-specification of stochastic frontiers

G Bonanno, D De Giovanni, F Domma - Journal of Productivity Analysis, 2017 - Springer
In this paper, we study the 'wrong skewness phenomenon'in stochastic frontiers (SF), which
consists in the observed difference between the expected and estimated sign of the …

Efficiency assessment and convergence in teaching and research in Italian public universities

C Guccio, MF Martorana, I Mazza - Scientometrics, 2016 - Springer
This paper investigates the pattern of teaching and research performances, the relationship
between them, and the convergence for Italian public HEIs in the period 2000–2010, by …

Energy regulation in China: objective selection, potential assessment and responsibility sharing by partial frontier analysis

XH Xia, YB Chen, JS Li, H Tasawar, A Alsaedi… - Energy Policy, 2014 - Elsevier
To cope with the excessive growth of energy consumption, the Chinese government has
been trying to strengthen the energy regulation system by introducing new initiatives that …

The curse of dimensionality (COD), misclassified DMUs, and Bayesian DEA

MG Ünsal, D Friesner, R Rosenman - Communications in Statistics …, 2022 - Taylor & Francis
Data envelopment analysis (DEA) is used to assess the relative efficiency of a set of
decision-making units (DMUs). A potential drawback to DEA is that one must include a …

[PDF][PDF] Nonparametric Frontier Estimation: recent developments and new challenges

L Simar - 2010 - tse-fr.eu
Nonparametric Frontier Estimation: recent developments and new challenges Page 1 ² ±
Nonparametric Frontier Estimation: recent developments and new challenges Toulouse …

[PDF][PDF] Rammevilkårskorrigering ved ulike modellspesifiseringer i DEA: en videre studie av hvordan ulike modellspesifiseringer i DEA påvirker kompensasjon for …

TN Prøsch, T Ølnes - 2020 - openaccess.nhh.no
Norges Vassedrags-og Energidirektorat (NVE) regulerer nettselskapene, da disse er
naturlige monopolister. Nettselskapene tildeles inntektsrammer som fastsettes ved hjelp av …