Estimation and inference in nonparametric frontier models: Recent developments and perspectives
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 …
other organizations, but often without any attempt to make statistical inference. Recent work …
Statistical approaches for non‐parametric frontier models: a guided tour
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 …
pioneering work by Tjalling C. Koopmans and Gerard Debreu. Michael J. Farrell published …
Ranking national innovation systems according to their technical efficiency
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 …
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
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 …
(such as the stochastic frontier model, truncated regression model, etc.) via the local …
The 'wrong skewness' problem: a re-specification of stochastic frontiers
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 …
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
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 …
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
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 …
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 …
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 …
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 …
naturlige monopolister. Nettselskapene tildeles inntektsrammer som fastsettes ved hjelp av …