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  • Search: subject:"Uniform Bahadur representation"
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Year of publication
Subject
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Nonparametric quantile regression 2 Treatment effect 2 Uniform Bahadur representation 2 Uniform inference 2 Causality analysis 1 Estimation theory 1 Induktive Statistik 1 Kausalanalyse 1 Nichtparametrische Schätzung 1 Nichtparametrisches Verfahren 1 Nonparametric estimation 1 Nonparametric statistics 1 Regression analysis 1 Regressionsanalyse 1 Schätztheorie 1 Statistical inference 1 monotonicity constraint 1 nonparametric quantile regression 1 uniform Bahadur representation 1 uniform inference 1
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Online availability
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Undetermined 1
Type of publication
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Article 2 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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Undetermined 2 English 1
Author
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Qu, Zhongjun 3 Yoon, Jungmo 3
Institution
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Department of Economics, Boston University 1
Published in...
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Boston University - Department of Economics - Working Papers Series 1 Journal of Econometrics 1 Journal of econometrics 1
Source
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RePEc 2 ECONIS (ZBW) 1
Showing 1 - 3 of 3
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Nonparametric estimation and inference on conditional quantile processes
Qu, Zhongjun; Yoon, Jungmo - In: Journal of Econometrics 185 (2015) 1, pp. 1-19
to vary across quantiles to adapt to data sparsity. For inference, the paper first establishes a uniform Bahadur … representation and then shows that the two estimators converge weakly to the same limiting Gaussian process. As an empirical …
Persistent link: https://www.econbiz.de/10011190723
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Cover Image
Nonparametric estimation and inference on conditional quantile processes
Qu, Zhongjun; Yoon, Jungmo - In: Journal of econometrics 185 (2015) 1, pp. 1-19
Persistent link: https://www.econbiz.de/10011339911
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Nonparametric Estimation and Inference on Conditional Quantile Processes
Qu, Zhongjun; Yoon, Jungmo - Department of Economics, Boston University - 2011
We consider the estimation and inference about a nonparametrically specified con- ditional quantile process. For estimation, a two-step procedure is proposed. The first step utilizes local linear regressions and maintains quantile monotonicity through sim- ple inequality constraints. The second...
Persistent link: https://www.econbiz.de/10010779536
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