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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
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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
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Permutation tests on returns to scale and common production frontiers in nonparametric models
Rønn-Nielsen, Anders; Kronborg, Dorte; Asmild, Mette - 2022
productivity have been available. We develop three novel tests based on permutations of the observations. The first is a test for …
Persistent link: https://www.econbiz.de/10013338075
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Micro-firms’ productivity growth in Poland before and during COVID-19 : do industry and region matter?
Gosińska, Emilia; Górajski, Mariusz; Ulrichs, Magdalena - In: Entrepreneurial business and economics review : EBER 12 (2024) 2, pp. 177-200
Objective: This study proposes a novel empirical analysis of the total factor productivity (TFP) growth for Polish … ten employees to evaluate micro-firms' productivity performance in Polish regions and sectors in 2010-2020. There are … to identify the between- and within-firm components of productivity growth in microenterprises. Research Design & Methods …
Persistent link: https://www.econbiz.de/10015057066
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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
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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 …
Persistent link: https://www.econbiz.de/10014036140
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Semiparametric stochastic metafrontier efficiency of European manufacturing firms
Verschelde, Marijn; Dumont, Michel; Rayp, Glenn; … - In: Journal of productivity analysis 45 (2016) 1, pp. 53-69
Persistent link: https://www.econbiz.de/10011631396
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Analysis of Productivity Parameters of Qatar by Using Stochastic Frontier Production Function
Mohamed, Issam A.W. - 2012
Results of assessments of total labor factor productivity TFP showed improvements where it recorded higher rate of 73 …
Persistent link: https://www.econbiz.de/10013110448
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IT outsourcing and firm productivity : eliminating bias from selective missingness in the dependent variable
Breunig, Christoph; Kummer, Michael E.; Ohnemus, Jörg; … - 2016
data and a binary instrumental variable to estimate the effect of outsourcing on productivity. …
Persistent link: https://www.econbiz.de/10011580805
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Parametrizing Nonparametric Translog Models : A Goal Programming/Constrained Regression Study of U.S. Manufacturing
Ziari, Houshmand; Azzam, Azzeddine - 1999
This paper demonstrates how Goal Programming/Constrained Regression can be used for cross-checking results from standard econometric models as well as a stand alone methodology in empirical production analysis. For illustration, we re-examine Berndt and Wood's (BW) seminal study of the U.S....
Persistent link: https://www.econbiz.de/10014193098