Neoclassical versus frontier production models? Testing for the skewness of regression residuals
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- Timo Kuosmanen & Mogens Fosgerau, 2009. "Neoclassical versus Frontier Production Models? Testing for the Skewness of Regression Residuals," Scandinavian Journal of Economics, Wiley Blackwell, vol. 111(2), pages 351-367, June.
References listed on IDEAS
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Citations
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Cited by:
- Christian M. Hafner & Hans Manner & Léopold Simar, 2018.
"The “wrong skewness” problem in stochastic frontier models: A new approach,"
Econometric Reviews, Taylor & Francis Journals, vol. 37(4), pages 380-400, April.
- Hafner, Christian & Manner, H. & Simar, L., 2015. "The “wrong skewness” problem in stochastic frontier models: a new approach," LIDAM Discussion Papers CORE 2015014, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Manner, Hans & Hafner, Christian & Simar, Leopold, 2015. "The wrong skewness problem in stochastic frontier models: A new approach," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112812, Verein für Socialpolitik / German Economic Association.
- Christian M. Hafner & Hans Manner & Léopold Simar, 2018. "The "wrong skewness" problem in stochastic frontier models: A new approach," LIDAM Reprints CORE 2958, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022.
"Stochastic Frontier Analysis: Foundations and Advances I,"
Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 8, pages 331-370,
Springer.
- Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances II," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 9, pages 371-408, Springer.
- Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2017. "Stochastic Frontier Analysis: Foundations and Advances," Working Papers 2017-10, University of Miami, Department of Economics.
- Subal C. Kumbhakar & Christopher F. Parameter & Valentin Zelenyuk, 2018. "Stochastic Frontier Analysis: Foundations and Advances," CEPA Working Papers Series WP022018, School of Economics, University of Queensland, Australia.
- Dai, Xiaofeng, 2016. "Non-parametric efficiency estimation using Richardson–Lucy blind deconvolution," European Journal of Operational Research, Elsevier, vol. 248(2), pages 731-739.
- Timo Kuosmanen & Andrew L. Johnson, 2010. "Data Envelopment Analysis as Nonparametric Least-Squares Regression," Operations Research, INFORMS, vol. 58(1), pages 149-160, February.
- Alecos Papadopoulos & Christopher F. Parmeter, 2024. "The wrong skewness problem in stochastic frontier analysis: a review," Journal of Productivity Analysis, Springer, vol. 61(2), pages 121-134, April.
- Antti Saastamoinen, 2015. "Heteroscedasticity Or Production Risk? A Synthetic View," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 459-478, July.
- Henderson, Daniel J. & Parmeter, Christopher F., 2015. "A consistent bootstrap procedure for nonparametric symmetry tests," Economics Letters, Elsevier, vol. 131(C), pages 78-82.
- Mekaroonreung, Maethee & Johnson, Andrew L., 2014. "A nonparametric method to estimate a technical change effect on marginal abatement costs of U.S. coal power plants," Energy Economics, Elsevier, vol. 46(C), pages 45-55.
- Ahmed S & Sonia Pérez-F & Carlos Carleos A & Norberto C & Pablo MartÃnez C, 2018. "Inference in Stochastic Frontier Models Based on Asymmetry," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 4(4), pages 99-108, January.
- Niu, Cuizhen & Guo, Xu & Li, Yong & Zhu, Lixing, 2018. "Pairwise distance-based tests for conditional symmetry," Computational Statistics & Data Analysis, Elsevier, vol. 128(C), pages 145-162.
- Mark Andor & Christopher Parmeter, 2017.
"Pseudolikelihood estimation of the stochastic frontier model,"
Applied Economics, Taylor & Francis Journals, vol. 49(55), pages 5651-5661, November.
- Andor, Mark & Parmeter, Christopher, 2017. "Pseudolikelihood estimation of the stochastic frontier model," Ruhr Economic Papers 693, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- Mekaroonreung, Maethee & Johnson, Andrew L., 2012. "Estimating the shadow prices of SO2 and NOx for U.S. coal power plants: A convex nonparametric least squares approach," Energy Economics, Elsevier, vol. 34(3), pages 723-732.
- Kuosmanen, Timo, 2012. "Stochastic semi-nonparametric frontier estimation of electricity distribution networks: Application of the StoNED method in the Finnish regulatory model," Energy Economics, Elsevier, vol. 34(6), pages 2189-2199.
- Timo Kuosmanen & Mika Kortelainen, 2012. "Stochastic non-smooth envelopment of data: semi-parametric frontier estimation subject to shape constraints," Journal of Productivity Analysis, Springer, vol. 38(1), pages 11-28, August.
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More about this item
Keywords
Firms and production; Frontier estimation; Hypotheses testing; Production function; Productive efficiency analysis;All these keywords.
JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- A10 - General Economics and Teaching - - General Economics - - - General
- D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
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