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Nonparametric Generalized Least Squares in Applied Regression Analysis

O'Hara, Michael E. - 2013

variants of heteroscedasticity robust standard error estimators (HRSEs) in an applied setting. Given myriad alternative HRSEs … various approaches to handling heteroscedasticity to data on professor rankings obtained from ratemyprofessor.com and find not … only heteroscedasticity to be prevalent but NPGLS and FGLS provide different insights and the statistical significance of …

Persistent link: https://www.econbiz.de/10013077989

Stochastic Nonparametric Envelopment of Data : Cross-Sectional Frontier Estimation Subject to Shape Constraints

Kuosmanen, Timo; Kortelainen, Mika - 2007

The field of production frontier estimation is divided between the parametric Stochastic Frontier Analysis (SFA) and the deterministic, nonparametric Data Envelopment Analysis (DEA). This paper explores an amalgam of DEA and SFA that melds a nonparametric frontier with a stochastic composite...

Persistent link: https://www.econbiz.de/10014050905

Orthogonality Conditions for Identification of Joint Production Technologies : Axiomatic Nonparametric Approach to the Estimation of Stochastic Distance Functions

Kuosmanen, Timo; Johnson, Andrew L; Parmeter, Christopher - 2015

The regression residual is commonly used as a productivity indicator. However, the observed input demands are endogenous if rational managers adjust their input use for inefficiency. A large stream of studies considers possible solutions to the endogeneity problem that require as little external...

Persistent link: https://www.econbiz.de/10014036140

Stochastic Nonparametric Envelopment of Data : Combining Virtues of Sfa and DEA in a Unified Framework

Kuosmanen, Timo - 2006

The literature of productive efficiency analysis is divided into two main branches: the parametric Stochastic Frontier Analysis (SFA) and nonparametric Data Envelopment Analysis (DEA). This paper attempts to combine the virtues of both approaches in a unified framework. We follow the SFA...

Persistent link: https://www.econbiz.de/10014057860

Estimation of Productivity in Korean Electric Power Plants : A Semiparametric Smooth Coefficient Model

Heshmati, Almas - 2013

This paper analyzes the impact of load factor, facility and generator types on the productivity of Korean electric power plants. In order to capture important differences in the effect of load policy on power output, we use a semiparametric smooth coefficient (SPSC) model that allows us to model...

Persistent link: https://www.econbiz.de/10013084669

Neoclassical Characterization of Returns to Scale in Nonparametric Production Analysis

Sahoo, Biresh - 2015

From an empirical perspective, this paper critically examines the concepts of returns to scale (RTS) and economies of scale (EOS), and argues that the concept of EOS is more relevant and broader enough to exhibit proper scale economies behavior of firms. Two approaches, i.e., production function...

Persistent link: https://www.econbiz.de/10013015488

Nonparametric and Semi-Parametric Estimation of Efficient Frontier

Du, Shengwu - 2005

This paper has presented a nonparametric approach to estimate the deterministic frontier model with unknown function form. Single index modeling and partially linear modeling techniques have been modified for estimation of a semi-parametric deterministic frontier model. Those approaches are free...

Persistent link: https://www.econbiz.de/10014062892

Exact tests on returns to scale and comparisons of production frontiers in nonparametric models

Rønn-Nielsen, Anders; Kronborg, Dorte; Asmild, Mette - 2019

When benchmarking production units by non-parametric methods like data envelopment analysis (DEA), an assumption has to be made about the returns to scale of the underlying technology. Moreover, it is often also relevant to compare the frontiers across samples of producers. Until now, no exact...

Persistent link: https://www.econbiz.de/10012132662

Comment on: "Testing hypotheses in nonparametric models of production" by Kneip, Simar, and Wilson (2016, JBES)

Asmild, Mette; Henningsen, Arne; Kronborg, Dorte; … - 2019

Persistent link: https://www.econbiz.de/10012132679

Does the Estimation Technique Matter for Efficiency Measures? : Comparative Efficiency Analysis of Public Universities with Parametric and Non-Parametric Methods

Erkoc, Taptuk Emre - 2015

Estimating efficiencies of higher education institutions (HEIs) has become a central area of research in efficiency analysis literature, particularly during the last two decades. Although the number of efficiency analysis researches in higher education has risen, comparative research estimating...

Persistent link: https://www.econbiz.de/10013017725