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Local maximum likelihood techniques with categorical data
Park, Byeong U.; Simar, Léopold; Zelenyuk, Valentin - 2010
Persistent link: https://www.econbiz.de/10009154605
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To smooth or not to smooth? : the case of discrete variables in nonparametric regressions
Simar, Léopold; Zelenyuk, Valentin - 2011
Persistent link: https://www.econbiz.de/10009405821
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Nonparametric least squares methods for stochastic frontier models
Simar, Léopold; Van Keilegom, Ingrid; Zelenyuk, Valentin - 2014
Persistent link: https://www.econbiz.de/10010348874
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Non-parametric approach to dynamic time series discrete choice models
Park, Byeong U.; Simar, Léopold; Zelenyuk, Valentin - 2013
Persistent link: https://www.econbiz.de/10010349116
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Stochastic FDH/DEA estimators for frontier analysis
Simar, Léopold; Zelenyuk, Valentin - In: Journal of productivity analysis 36 (2011) 1, pp. 1-20
Persistent link: https://www.econbiz.de/10009271735
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Local likelihood estimation of truncated regression and its partial derivatives : theory and application
Park, Byeong U.; Simar, Léopold; Zelenyuk, Valentin - In: Journal of econometrics 146 (2008) 1, pp. 185-198
Persistent link: https://www.econbiz.de/10003778287
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Nonparametric least squares methods for stochastic frontier models
Simar, Léopold; Van Keilegom, Ingrid; Zelenyuk, Valentin - In: Journal of productivity analysis 47 (2017) 3, pp. 189-204
Persistent link: https://www.econbiz.de/10011878343
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Nonparametric estimation of dynamic discrete choice models for time series data
Park, Byeong U.; Simar, Léopold; Zelenyuk, Valentin - 2016
Persistent link: https://www.econbiz.de/10011746459
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Revisiting forecasting of recessions via dynamic probit for time series by Kauppi and Saikkonen (2008)
Park, Byeong U.; Simar, Léopold; Zelenyuk, Valentin - 2017
Persistent link: https://www.econbiz.de/10011746524
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Categorical data in local maximum likelihood : theory and applications to productivity analysis
Park, Byeong U.; Simar, Léopold; Zelenyuk, Valentin - In: Journal of productivity analysis 43 (2015) 2, pp. 199-214
Persistent link: https://www.econbiz.de/10011380319