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Inferences From Cross-sectional, Stochastic Frontier Models
Citations
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Cited by:
- Fei Jin & Lung-fei Lee, 2020. "Asymptotic properties of a spatial autoregressive stochastic frontier model," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-40, December.
- William C. Horrace & Yulong Wang, 2022.
"Nonparametric tests of tail behavior in stochastic frontier models,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 537-562, April.
- William & C. Horrace & Yulong Wang, 2020. "Nonparametric Tests of Tail Behavior in Stochastic Frontier Models," Papers 2006.07780, arXiv.org.
- William C. Horrace & Yulong Wang, 2020. "Nonparametric Tests of Tail Behavior in Stochastic Frontier Models," Center for Policy Research Working Papers 230, Center for Policy Research, Maxwell School, Syracuse University.
- Papadopoulos, Alecos & Parmeter, Christopher F., 2021. "Type II failure and specification testing in the Stochastic Frontier Model," European Journal of Operational Research, Elsevier, vol. 293(3), pages 990-1001.
- Léopold Simar & Ingrid Keilegom & Valentin Zelenyuk, 2017.
"Nonparametric least squares methods for stochastic frontier models,"
Journal of Productivity Analysis, Springer, vol. 47(3), pages 189-204, June.
- Leopold Simar & Ingrid Van Keilegom & Valentin Zelenyuk, 2014. "Nonparametric Least Squares Methods for Stochastic Frontier Models," CEPA Working Papers Series WP032014, School of Economics, University of Queensland, Australia.
- Simar, Leopold & Van Keilegom, Ingrid & Zelenyuk, Valentin, 2014. "Nonparametric Least Squares Methods for Stochastic Frontier Models," LIDAM Discussion Papers ISBA 2014012, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Simar, Leopold & Van Keilegom, Ingrid & Zelenyuk, Valentin, 2017. "Nonparametric Least Squares Methods for Stochastic Frontier Models," LIDAM Reprints ISBA 2017026, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Léopold Simar & Valentin Zelenyuk, 2011.
"Stochastic FDH/DEA estimators for frontier analysis,"
Journal of Productivity Analysis, Springer, vol. 36(1), pages 1-20, August.
- Leopold Simar & Valentin Zelenyuk, 2008. "Stochastic FDH/DEA estimators for Frontier Analysis," Discussion Papers 8, Kyiv School of Economics.
- Simar, Leopold & Zelenyuk, Valentin, 2011. "Stochastic FDH/DEA estimators for frontier analysis," LIDAM Reprints ISBA 2011026, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Simar, Leopold & Zelenyuk, Valentin, 2010. "Stochastic FDH/DEA estimators for frontier analysis," LIDAM Reprints ISBA 2010008, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Wei Wang & Christine Amsler & Peter Schmidt, 2011. "Goodness of fit tests in stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 35(2), pages 95-118, April.
- El Mehdi, Rachida & Hafner, Christian M., 2014.
"Inference in stochastic frontier analysis with dependent error terms,"
Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 102(C), pages 104-116.
- El Mehdi, Rachida & Hafner, Christian M., 2014. "Inference in stochastic frontier analysis with dependent error terms," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 102(C), pages 131-143.
- El Mehdi, Rachida & Hafner, Christian, 2012. "Inference in stochastic frontier analysis with dependent error terms," LIDAM Discussion Papers ISBA 2012038, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- El Mehdi, Rachida & Hafner, Christian, 2014. "Inference in stochastic frontier analysis with dependent error terms," LIDAM Reprints ISBA 2014028, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Olesen, Ole B. & Petersen, Niels Christian, 2016. "Stochastic Data Envelopment Analysis—A review," European Journal of Operational Research, Elsevier, vol. 251(1), pages 2-21.
- Graziella Bonanno & Domenico De Giovanni & Filippo Domma, 2017.
"The ‘wrong skewness’ problem: a re-specification of stochastic frontiers,"
Journal of Productivity Analysis, Springer, vol. 47(1), pages 49-64, February.
- Bonanno, Graziella & De Giovanni, Domenico & Domma, Filippo, 2015. "The “wrong skewness” problem: a re-specification of Stochastic Frontiers," MPRA Paper 63429, University Library of Munich, Germany.
- Graziella Bonanno & Domenico De Giovanni & Filippo Domma, 2015. "The “Wrong Skewness” Problem: A Re-Specification Of Stochastic Frontiers," Working Papers 201502, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
- Phill Wheat & Alexander D. Stead & William H. Greene, 2019. "Robust stochastic frontier analysis: a Student’s t-half normal model with application to highway maintenance costs in England," Journal of Productivity Analysis, Springer, vol. 51(1), pages 21-38, February.
- Christopher F. Parmeter & Hung-Jen Wang & Subal C. Kumbhakar, 2017. "Nonparametric estimation of the determinants of inefficiency," Journal of Productivity Analysis, Springer, vol. 47(3), pages 205-221, June.
- Léopold Simar & Paul Wilson, 2011.
"Two-stage DEA: caveat emptor,"
Journal of Productivity Analysis, Springer, vol. 36(2), pages 205-218, October.
- Simar, Leopold & Wilson, Paul, 2010. "Two-Stage DEA: Caveat Emptor," LIDAM Discussion Papers ISBA 2010041, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Simar, Leopold & Wilson, Paul W., 2011. "Two-Stage DEA: Caveat Emptor," LIDAM Reprints ISBA 2011031, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- 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).
- Valentin Zelenyuk, 2011. "Scale Efficiency: Equivalence of Primal and Dual Measures," CEPA Working Papers Series WP092011, School of Economics, University of Queensland, Australia.
- William C. Horrace & Ian A. Wright, 2020.
"Stationary Points for Parametric Stochastic Frontier Models,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(3), pages 516-526, July.
- William C. Horrace & Ian A. Wright, 2016. "Stationary Points for Parametric Stochastic Frontier Models," Center for Policy Research Working Papers 196, Center for Policy Research, Maxwell School, Syracuse University.
- Hafner, Christian & Manner, Hans & Simar, Leopold, 2013.
"The “wrong skewnessâ€Ω problem in stochastic frontier models: A new approach,"
LIDAM Discussion Papers ISBA
2013046, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Hafner, Christian & Manner, Hans & Simar, Leopold, 2015. "The “wrong skewnessâ€Ω problem in stochastic frontier models: A new approach," LIDAM Discussion Papers ISBA 2015006, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Hafner, Christian & Manner, Hans & Simar, Leopold, 2018. "The “wrong skewnessâ€Ω problem in stochastic frontier models: A new approach," LIDAM Reprints ISBA 2018009, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Llorca, Manuel & Orea, Luis & Pollitt, Michael G., 2014. "Using the latent class approach to cluster firms in benchmarking: An application to the US electricity transmission industry," Operations Research Perspectives, Elsevier, vol. 1(1), pages 6-17.
- Léopold Simar, 2007.
"How to improve the performances of DEA/FDH estimators in the presence of noise?,"
Journal of Productivity Analysis, Springer, vol. 28(3), pages 183-201, December.
- Simar, Léopold, 2003. "How to Improve the Performances of DEA/FDH Estimators in the Presence of Noise?," SFB 373 Discussion Papers 2003,33, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Raimundo Soto & Rosalía Vásquez, 2011. "The Efficiency Cost of the Kafala in Dubai: A Stochastic Frontier Analysis," Documentos de Trabajo 399, Instituto de Economia. Pontificia Universidad Católica de Chile..
- Henderson, Daniel J. & Parmeter, Christopher F., 2015. "A consistent bootstrap procedure for nonparametric symmetry tests," Economics Letters, Elsevier, vol. 131(C), pages 78-82.
- Lundgren, Tommy & Marklund, Per-Olov & Zhang, Shanshan, 2016. "Industrial energy demand and energy efficiency – Evidence from Sweden," Resource and Energy Economics, Elsevier, vol. 43(C), pages 130-152.
- Jakub Staniszewski & Michał Borychowski, 2020. "The impact of the subsidies on efficiency of different sized farms. Case study of the Common Agricultural Policy of the European Union," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 66(8), pages 373-380.
- Hung-pin Lai & Subal C. Kumbhakar, 2023. "Indirect inference estimation of stochastic production frontier models with skew-normal noise," Empirical Economics, Springer, vol. 64(6), pages 2771-2793, June.
- Arnab Bhattacharjee & Eduardo de Castro & (Late) Chris Jensen-Butler, 2007. "Evaluating Economic Theories of Growth and Inequality: A Study of the Danish Economy," CDMA Working Paper Series 200723, Centre for Dynamic Macroeconomic Analysis.
- Daraio, Cinzia & Bonaccorsi, Andrea & Simar, Léopold, 2015.
"Rankings and university performance: A conditional multidimensional approach,"
European Journal of Operational Research, Elsevier, vol. 244(3), pages 918-930.
- Daraio, Cinzia & Bonaccorsi, Andrea & Simar, Leopold, 2014. "Rankings and university performance: a conditional multidimensional approach," LIDAM Discussion Papers ISBA 2014025, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Daraio, Cinzia & Bonaccorsi, Andrea & Simar, Leopold, 2015. "Rankings and university performance: A conditional multidimensional approach," LIDAM Reprints ISBA 2015009, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Cinzia Daraio & Andrea Bonaccorsi & Leopold Simar, 2014. "Rankings and university performance: a conditional multidimensional approach," DIAG Technical Reports 2014-09, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
- Phill Wheat & William Greene & Andrew Smith, 2014. "Understanding prediction intervals for firm specific inefficiency scores from parametric stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 42(1), pages 55-65, August.
- Ahn, Heinz & Clermont, Marcel & Langner, Julia, 2023. "Comparative performance analysis of frontier-based efficiency measurement methods – A Monte Carlo simulation," European Journal of Operational Research, Elsevier, vol. 307(1), pages 294-312.
- Haelermans, Carla & De Witte, Kristof, 2012. "The role of innovations in secondary school performance – Evidence from a conditional efficiency model," European Journal of Operational Research, Elsevier, vol. 223(2), pages 541-549.
- Arnab Bhattacharjee & Eduardo Castro & Chris Jensen-Butler, 2009. "Regional variation in productivity: a study of the Danish economy," Journal of Productivity Analysis, Springer, vol. 31(3), pages 195-212, June.
- Mamonov Mikhail E. & Parmeter Christopher F. & Prokhorov Artem B., 2022. "Dependence modeling in stochastic frontier analysis," Dependence Modeling, De Gruyter, vol. 10(1), pages 123-144, January.
- Jun Cai & Qu Feng & William C. Horrace & Guiying Laura Wu, 2021. "Wrong skewness and finite sample correction in the normal-half normal stochastic frontier model," Empirical Economics, Springer, vol. 60(6), pages 2837-2866, June.
- Bernstein, David H. & Parmeter, Christopher F. & Tsionas, Mike G., 2023. "On the performance of the United States nuclear power sector: A Bayesian approach," Energy Economics, Elsevier, vol. 125(C).
- Stead, Alexander D. & Wheat, Phill & Greene, William H., 2023. "Robust maximum likelihood estimation of stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 309(1), pages 188-201.
- Paitoon Wiboonchutikula & Chayanon Phucharoen & Nuchit Pruektanakul, 2016. "Spillover Effects Of Foreign Direct Investment On Domestic Manufacturing Firms In Thailand," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 61(02), pages 1-32, June.
- Christine Amsler & Michael Leonard & Peter Schmidt, 2013. "Estimation and inference in parametric deterministic frontier models," Journal of Productivity Analysis, Springer, vol. 40(3), pages 293-305, December.
- Rachida El Mehdi & Christian M. Hafner, 2021. "A Starting Note: Panel Stochastic Frontier Analysis with Dependent Error Terms," International Econometric Review (IER), Econometric Research Association, vol. 13(2), pages 24-40, June.
- Jones, Jonathan & Serwicka, Ilona & Wren, Colin, 2018. "Economic integration, border costs and FDI location: Evidence from the fifth European Union enlargement," International Review of Economics & Finance, Elsevier, vol. 54(C), pages 193-205.
- Song, Junmo & Oh, Dong-hyun & Kang, Jiwon, 2017. "Robust estimation in stochastic frontier models," Computational Statistics & Data Analysis, Elsevier, vol. 105(C), pages 243-267.
- Cheng, Xiaomei & Andersson, Jonas & Bjørndal, Endre, 2015. "On the Distributional Assumptions in the StoNED model," Discussion Papers 2015/24, Norwegian School of Economics, Department of Business and Management Science.