Extremal Quantiles under Two-Way Clustering

Fuente: arXiv
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Auteurs principaux: Chiang, Harold D., Kato, Ryutah, Sasaki, Yuya
Format: Preprint
Publié: 2024
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author Chiang, Harold D.
Kato, Ryutah
Sasaki, Yuya
author_facet Chiang, Harold D.
Kato, Ryutah
Sasaki, Yuya
contents This paper studies extremal quantiles under two-way clustered dependence. We show that the limiting distribution of unconditional intermediate-order tail quantiles is Gaussian. This result is notable because two-way clustering typically leads to non-Gaussian limiting behavior. Remarkably, extremal quantiles remain asymptotically Gaussian even in degenerate cases. Building on this insight, we extend our analysis to extremal quantile regression at intermediate orders. Simulation results corroborate our theoretical findings. Finally, we provide an empirical application to growth-at-risk, showing that earlier empirical conclusions remain robust even after accounting for two-way clustered dependence in panel data and the focus on extreme quantiles.
format Preprint
id arxiv_https___arxiv_org_abs_2402_19268
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Extremal Quantiles under Two-Way Clustering
Chiang, Harold D.
Kato, Ryutah
Sasaki, Yuya
Statistics Theory
Econometrics
This paper studies extremal quantiles under two-way clustered dependence. We show that the limiting distribution of unconditional intermediate-order tail quantiles is Gaussian. This result is notable because two-way clustering typically leads to non-Gaussian limiting behavior. Remarkably, extremal quantiles remain asymptotically Gaussian even in degenerate cases. Building on this insight, we extend our analysis to extremal quantile regression at intermediate orders. Simulation results corroborate our theoretical findings. Finally, we provide an empirical application to growth-at-risk, showing that earlier empirical conclusions remain robust even after accounting for two-way clustered dependence in panel data and the focus on extreme quantiles.
title Extremal Quantiles under Two-Way Clustering
topic Statistics Theory
Econometrics
url https://arxiv.org/abs/2402.19268