Model-based bootstrap for detection of regional quantile treatment effects

DOI10.1080/10485252.2021.1934465zbMath1472.62063OpenAlexW3166403587MaRDI QIDQ5012348

Xuming He, Yu-An Sun

Publication date: 1 September 2021

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485252.2021.1934465

zbMATH Keywords

bootstrapquantile regressiontreatment effectrank score

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric statistical resampling methods (62G09)

Related Items

From regression rank scores to robust inference for censored quantile regression

Cites Work

• Detection of treatment effects by covariate-adjusted expected shortfall
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• Tests of linear hypotheses based on regression rank scores
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• Regression Quantiles
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• Common risk factors in the returns on stocks and bonds
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