A general framework for frontier estimation with panel data
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- KNEIP, Alois & SIMAR, Léopold, 1995. "A General Framework for Frontier Estimation with Panel Data," CORE Discussion Papers 1995060, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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- Leopold Simar & Paul Wilson, 2000.
"A general methodology for bootstrapping in non-parametric frontier models,"
Journal of Applied Statistics,
Taylor & Francis Journals, vol. 27(6), pages 779-802.
- Simar, L. & Wilson, P.W., 1998. "A General Methodology for Bootstrapping in Nonparametric Frontier Models," Papers 9811, Catholique de Louvain - Institut de statistique.
- 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.
- Tran, Kien C. & Tsionas, Efthymios G., 2009. "Estimation of nonparametric inefficiency effects stochastic frontier models with an application to British manufacturing," Economic Modelling, Elsevier, vol. 26(5), pages 904-909, September.
- Qian, Junhui & Wang, Le, 2012.
"Estimating semiparametric panel data models by marginal integration,"
Journal of Econometrics,
Elsevier, vol. 167(2), pages 483-493.
- Qian, Junhui & Wang, Le, 2009. "Estimating Semiparametric Panel Data Models by Marginal Integration," MPRA Paper 18850, University Library of Munich, Germany.
- 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.
- Mark Andor & Frederik Hesse, "undated". "The StoNED age: The Departure Into a New Era of Efficiency Analysis? An MC study Comparing StoNED and the "Oldies" (SFA and DEA)," Working Papers 201285, Institute of Spatial and Housing Economics, Munster Universitary.
- Oleg Badunenko & Daniel J. Henderson & Subal C. Kumbhakar, 2012.
"When, where and how to perform efficiency estimation,"
Journal of the Royal Statistical Society Series A,
Royal Statistical Society, vol. 175(4), pages 863-892, October.
- Oleg Badunenko & Daniel J. Henderson & Subal C. Kumbhakar, 2011. "When, where and how to perform efficiency estimation," Cologne Graduate School Working Paper Series 02-06, Cologne Graduate School in Management, Economics and Social Sciences.
- Badunenko, Oleg & Henderson, Daniel J. & Kumbhakar, Subal C., 2011. "When, Where and How to Perform Efficiency Estimation," IZA Discussion Papers 5997, Institute for the Study of Labor (IZA).
- Badunenko, Oleg & Henderson, Daniel J. & Kumbhakar, Subal C., 2011. "When, where and how to perform efficiency estimation," MPRA Paper 33467, University Library of Munich, Germany.
- Daniel J. Henderson, 2009.
"A Non-parametric Examination of Capital-Skill Complementarity,"
Oxford Bulletin of Economics and Statistics,
Department of Economics, University of Oxford, vol. 71(4), pages 519-538, August.
- Henderson, Daniel J., 2008. "A Nonparametric Examination of Capital-Skill Complementarity," IZA Discussion Papers 3865, Institute for the Study of Labor (IZA).
- Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2017.
"Stochastic Frontier Analysis: Foundations and Advances,"
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.
- Cheng, Ming-Yen & Hall, Peter, 2006. "Methods for tracking support boundaries with corners," Journal of Multivariate Analysis, Elsevier, vol. 97(8), pages 1870-1893, September.
- Ferjani, Ali, 2005. "Does Switzerland Have a Productivity Problem?," Agrarwirtschaft und Agrarsoziologie\ Economie et Sociologie Rurales, Swiss Society for Agricultural Economics and Rural Sociology, vol. 2005(Number 1), pages 1-20.
- Zhou, Xianbo & Li, Kui-Wai & Li, Qin, 2011.
"An analysis on technical efficiency in post-reform China,"
China Economic Review,
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- Zhou, Xianbo & Li, Kui-Wai & Li, Qin, 2010. "An Analysis on Technical Efficiency in Post-reform China," MPRA Paper 41034, University Library of Munich, Germany.
- Kortelainen, Mika, 2008. "Estimation of semiparametric stochastic frontiers under shape constraints with application to pollution generating technologies," MPRA Paper 9257, University Library of Munich, Germany.
- Léopold Simar & Paul W. Wilson, 2015. "Statistical Approaches for Non-parametric Frontier Models: A Guided Tour," International Statistical Review, International Statistical Institute, vol. 83(1), pages 77-110, April.
- Dieter Gstach, 1996. "A new approach to stochastic frontier estimation: DEA+," Department of Economics Working Papers wuwp039, Vienna University of Economics and Business, Department of Economics.
- Morteza Haghiri & James Nolan & Kien Tran, 2004. "Assessing the impact of economic liberalization across countries: a comparison of dairy industry efficiency in Canada and the USA," Applied Economics, Taylor & Francis Journals, vol. 36(11), pages 1233-1243.
- repec:spr:cejnor:v:26:y:2018:i:3:d:10.1007_s10100-017-0504-9 is not listed on IDEAS
- Andor, Mark & Hesse, Frederik, 2012. "The StoNED age: The departure into a new era of efficiency analysis? An MC study comparing StoNED and the "oldies" (SFA and DEA)," CAWM Discussion Papers 60, University of Münster, Center of Applied Economic Research Münster (CAWM).
- William C. Horrace & Peter Schmidt, 2002. "Confidence Statements for Efficiency Estimates from Stochastic Frontier Models," Econometrics 0206006, University Library of Munich, Germany.
- Bellio, Ruggero & Grassetti, Luca, 2011. "Semiparametric stochastic frontier models for clustered data," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 71-83, January.
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