Wild bootstrap inference for instrumental variables regressions with weak and few clusters

We study the wild bootstrap inference for instrumental variable regressions under an alternative asymptotic framework that the number of independent clusters is fixed, the size of each cluster diverges to infinity, and the within cluster dependence is sufficiently weak. We first show that the wild b...

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Main Authors: WANG, Wenjie, ZHANG, Yichong
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語言:English
出版: Institutional Knowledge at Singapore Management University 2024
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在線閱讀:https://ink.library.smu.edu.sg/soe_research/2741
https://ink.library.smu.edu.sg/context/soe_research/article/3740/viewcontent/Wildbootstrap_clusters_sv.pdf
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機構: Singapore Management University
語言: English