Two-Way Mean Group Estimators for Heterogeneous Panel Models with Fixed T

Fuente: arXiv
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Main Authors: Lu, Xun, Su, Liangjun
Format: Preprint
Published: 2025
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author Lu, Xun
Su, Liangjun
author_facet Lu, Xun
Su, Liangjun
contents We consider a correlated random coefficient panel data model with two-way fixed effects and interactive fixed effects in a fixed T framework. We propose a two-way mean group (TW-MG) estimator for the expected value of the slope coefficient and propose a leave-one-out jackknife method for valid inference. We also consider a pooled estimator and provide a Hausman-type test for poolability. Simulations demonstrate the excellent performance of our estimators and inference methods in finite samples. We apply our new methods to two datasets to examine the relationship between health-care expenditure and income, and estimate a production function.
format Preprint
id arxiv_https___arxiv_org_abs_2508_10302
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Two-Way Mean Group Estimators for Heterogeneous Panel Models with Fixed T
Lu, Xun
Su, Liangjun
Econometrics
We consider a correlated random coefficient panel data model with two-way fixed effects and interactive fixed effects in a fixed T framework. We propose a two-way mean group (TW-MG) estimator for the expected value of the slope coefficient and propose a leave-one-out jackknife method for valid inference. We also consider a pooled estimator and provide a Hausman-type test for poolability. Simulations demonstrate the excellent performance of our estimators and inference methods in finite samples. We apply our new methods to two datasets to examine the relationship between health-care expenditure and income, and estimate a production function.
title Two-Way Mean Group Estimators for Heterogeneous Panel Models with Fixed T
topic Econometrics
url https://arxiv.org/abs/2508.10302