Inference in dynamic models for panel data using the moving block bootstrap

Fuente: arXiv
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Main Authors: Higgins, Ayden, Jochmans, Koen
Format: Preprint
Published: 2025
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author Higgins, Ayden
Jochmans, Koen
author_facet Higgins, Ayden
Jochmans, Koen
contents Inference in linear panel data models is complicated by the presence of fixed effects when (some of) the regressors are not strictly exogenous. Under asymptotics where the number of cross-sectional observations and time periods grow at the same rate, the within-group estimator is consistent but its limit distribution features a bias term. In this paper we show that a panel version of the moving block bootstrap, where blocks of adjacent cross-sections are resampled with replacement, replicates the limit distribution of the within-group estimator. Confidence ellipsoids and hypothesis tests based on the reverse-percentile bootstrap are thus asymptotically valid without the need to take the presence of bias into account.
format Preprint
id arxiv_https___arxiv_org_abs_2502_08311
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Inference in dynamic models for panel data using the moving block bootstrap
Higgins, Ayden
Jochmans, Koen
Econometrics
Inference in linear panel data models is complicated by the presence of fixed effects when (some of) the regressors are not strictly exogenous. Under asymptotics where the number of cross-sectional observations and time periods grow at the same rate, the within-group estimator is consistent but its limit distribution features a bias term. In this paper we show that a panel version of the moving block bootstrap, where blocks of adjacent cross-sections are resampled with replacement, replicates the limit distribution of the within-group estimator. Confidence ellipsoids and hypothesis tests based on the reverse-percentile bootstrap are thus asymptotically valid without the need to take the presence of bias into account.
title Inference in dynamic models for panel data using the moving block bootstrap
topic Econometrics
url https://arxiv.org/abs/2502.08311