Local Maximum Likelihood Techniques with Categorical Data
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Other versions of this item:
- Park, Byeong U. & Simar, Leopold & Zelenyuk, Valentin, 2010. "Local maximum likelihood techniques with categorical data," LIDAM Discussion Papers ISBA 2010052, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
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Cited by:
- Valentin Zelenyuk & Leopold Simar, 2011.
"To Smooth or Not to Smooth? The Case of Discrete Variables in Nonparametric Regressions,"
CEPA Working Papers Series
WP102011, School of Economics, University of Queensland, Australia.
- Li, Degui & Simar, Leopold & Zelenyuk, Valentin, 2013. "To Smooth or Not to Smooth? The Case of Discrete Variables in Nonparametric Regression," LIDAM Discussion Papers ISBA 2013025, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Simar, Leopold & Zelenyuk, Valentin, 2011. "To Smooth or Not to Smooth? The Case of Discrete Variables in Nonparametric Regressions," LIDAM Discussion Papers ISBA 2011042, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Marijn Verschelde & Michel Dumont & Glenn Rayp & Bruno Merlevede, 2016.
"Semiparametric stochastic metafrontier efficiency of European manufacturing firms,"
Journal of Productivity Analysis, Springer, vol. 45(1), pages 53-69, February.
- Marijn Verschelde & Michel Dumont & Glenn Rayp & Bruno Merlevede, 2016. "Semiparametric stochastic metafrontier efficiency of European manufacturing firms," Journal of Productivity Analysis, Springer, vol. 45(1), pages 53-69, February.
- Marijn Verschelde & Michel Dumont & Glenn Rayp & Bruno Merlevede, 2015. "Semiparametric stochastic metafrontier efficiency of European manufacturing firms," Post-Print hal-01563023, HAL.
- Li, Degui & Simar, Léopold & Zelenyuk, Valentin, 2016.
"Generalized nonparametric smoothing with mixed discrete and continuous data,"
Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 424-444.
- Li, Degui & Simar, Leopold & Zelenyuk, Valentin, 2016. "Generalized nonparametric smoothing with mixed discrete and continuous data," LIDAM Reprints ISBA 2016020, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
More about this item
JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
NEP fields
This paper has been announced in the following NEP Reports:- NEP-EFF-2011-01-16 (Efficiency and Productivity)
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