Bootstrap inference for quantile treatment effects in randomized experiments with matched pairs
This paper examines methods of inference concerning quantile treatment effects (QTEs) in randomized experiments with matched-pairs designs (MPDs). Standard multiplier bootstrap inference fails to capture the negative dependence of observations within each pair and is therefore conservative. Analytic...
Saved in:
Main Authors: | JIANG, Liang, LIU, Xiaobin, Phillips, Peter C B, ZHANG, Yichong |
---|---|
格式: | text |
語言: | English |
出版: |
Institutional Knowledge at Singapore Management University
2024
|
主題: | |
在線閱讀: | https://ink.library.smu.edu.sg/soe_research/2382 https://ink.library.smu.edu.sg/context/soe_research/article/3381/viewcontent/2005.11967.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Singapore Management University |
語言: | English |
相似書籍
-
Quantile treatment effects and bootstrap inference under covariate-adaptive randomization
由: ZHENG, Xin, et al.
出版: (2018) -
Quantile treatment effects and bootstrap inference under covariate-adaptive randomization
由: ZHANG, Yichong, et al.
出版: (2020) -
Covariate adjustment in experiments with matched pairs
由: BAI, Yuehao, et al.
出版: (2023) -
Gradient wild bootstrap for instrumental variable quantile regressions with weak and few clusters
由: WANG, Wenjie, et al.
出版: (2024) -
Wild bootstrap for instrumental variable regressions with weak and few clusters
由: WANG, Wenjie, et al.
出版: (2021)