Quantile regression for panel data models with fixed effects under random censoring

The locally weighted censored quantile regression approach is proposed for panel data models with fixed effects, which allows for random censoring. The resulting estimators are obtained by employing the fixed effects quantile regression method. The weights are selected either parametrically, semi-pa...

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Veröffentlicht in:	Communications in statistics. Theory and methods Jg. 49; H. 18; S. 4430 - 4445
Hauptverfasser:	Xiaowen, Dai, Libin, Jin, Yuzhu, Tian, Maozai, Tian, Manlai, Tang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Philadelphia Taylor & Francis 16.09.2020 Taylor & Francis Ltd
Schlagworte:	Computer simulation Data models Estimators fixed effects Kaplan-Meier estimator Longitudinal studies panel data Quantile regression random censoring Regression
ISSN:	0361-0926, 1532-415X
Online-Zugang:	Volltext
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