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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Bibliographic Details
Main Authors: WANG, Wenjie, ZHANG, Yichong
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
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Online Access: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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Institution: Singapore Management University
Language: English