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Blaming the Exogenous Environment? Conditional Efficiency Estimation with Continuous and Discrete Environmental Variables

De Witte, Kristof; Kortelainen, Mika - 2009

British pupils from the OECD Pisa data set. The results show that several exogenous discrete factors have a significant effect …

Persistent link: https://www.econbiz.de/10014211645

Testing the "separability" condition in two-stage nonparametric models of production

Daraio, Cinzia; Simar, Léopold; Wilson, Paul W. - 2015

Simar and Wilson (J. Econometrics, 2007) provided a statistical model that can rationalize two-stage estimation of technical efficiency in nonparametric settings. Two-stage estimation has been widely used, but requires a strong assumption: the second-stage environmental variables cannot affect...

Persistent link: https://www.econbiz.de/10011317720

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

Kuosmanen, Timo; Kortelainen, Mika - 2007

the deterministic, nonparametric Data Envelopment Analysis (DEA). This paper explores an amalgam of DEA and SFA that melds … inefficiency and noise terms. The frontier is estimated nonparametrically, imposing monotonicity and convexity as in DEA. For …

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

When, where and how to perform efficiency estimation

Badunenko, Oleg; Henderson, Daniel J.; Kumbhakar, Subal - 2011

nonparametric kernel SFA estimator of Fan, Li and Weersink (1996) to the nonparametric bias corrected DEA estimator of Kneip, Simar …

Persistent link: https://www.econbiz.de/10009422459

Estimating alternative technology sets in nonparametric efficiency analysis: restriction tests for panel and clustered data

Neumann, Anne; Nieswand, Maria; Schubert, Torben - In: Journal of productivity analysis 45 (2016) 1, pp. 35-51

Persistent link: https://www.econbiz.de/10011631382

Estimating alternative technology sets in nonparametric efficiency analysis : restriction tests for panel and clustered data

Neumann, Anne; Nieswand, Maria; Schubert, Torben - 2016

Nonparametric efficiency analysis has become a widely applied technique to support industrial benchmarking as well as a variety of incentive-based regulation policies. In practice such exercises are often plagued by incomplete knowledge about the correct specifications of inputs and outputs....

Persistent link: https://www.econbiz.de/10011652727

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

Which estimator to measure local governments' cost efficiency? : the case of Spanish municipalities

Narbón-Perpiñá, Isabel; Balaguer-Coll, Maria Teresa; … - In: SERIEs : Journal of the Spanish Economic Association 11 (2020) 1, pp. 51-82

We analyse overall cost efficiency in Spanish local governments during the crisis period (2008-2015). To this end, we first consider some of the most popular nonparametric methods to evaluate local government efficiency, data envelopment analysis and free disposal hull, as well as recent...

Persistent link: https://www.econbiz.de/10012240575

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 … frontiers across samples of producers. Until now, no exact tests for examining returns to scale assumptions in DEA, or for test … test for the hypothesis of constant returns to scale in DEA. The others are tests for general frontier differences and …

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