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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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Firm and Industry Level Profit Efficiency Analysis Under Incomplete Price Data : A Nonparametric Approach Based on Absolute and Uniform Shadow Prices
Kuosmanen, Timo - 2007
We discuss the nonparametric approach to profit efficiency analysis at the firm and industry levels in the absence of complete price information, and propose two new insights. First, choosing one commodity (whose price is known) as a numeraire good enables us to measure profit inefficiency in...
Persistent link: https://www.econbiz.de/10012731720
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Forecasting aggregate productivity using information from firm-level data
Bartelsman, Eric J.; Wolf, Zoltán - 2009
This paper contributes to the productivity literature by using results from firm-level productivity studies to improve … forecasts of macro-level productivity growth. The paper employs current research methods on estimating firm-level productivity … to build times-series components that capture the joint dynamics of the firm-level productivity and size distributions …
Persistent link: https://www.econbiz.de/10011378362
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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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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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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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Forecasting Aggregate Productivity Using Information from Firm-Level Data
Bartelsman, Eric J. - 2017
This paper contributes to the productivity literature by using results from firm-level productivity studies to improve … forecasts of macro-level productivity growth. The paper employs current research methods on estimating firm-level productivity … to build times-series components that capture the joint dynamics of the firm-level productivity and size distributions …
Persistent link: https://www.econbiz.de/10012976846
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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