← Back to results Two-Way Mean Group Estimators for Heterogeneous Panel Models with Fixed T S. Jin et al.
Abstract We consider a correlated random coefficient panel data model with two-way fixed effects and interactive fixed effects in a fixed T framework. The model allows slope coefficients to be arbitrarily correlated with the regressors, accommodating flexible forms of heterogeneity. 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 apply our new methods to examine the relationship between health-care expenditure and income.
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@article{s.2026,
title = {{Two-Way Mean Group Estimators for Heterogeneous Panel Models with Fixed T}},
author = {S. Jin et al.},
journal = {Econometrics Journal},
year = {2026},
doi = {https://doi.org/https://doi.org/10.1093/ectj/utag010},
} TY - JOUR
TI - Two-Way Mean Group Estimators for Heterogeneous Panel Models with Fixed T
AU - al., S. Jin et
JO - Econometrics Journal
PY - 2026
ER - S. Jin et al. (2026). Two-Way Mean Group Estimators for Heterogeneous Panel Models with Fixed T. *Econometrics Journal*. https://doi.org/https://doi.org/10.1093/ectj/utag010 S. Jin et al.. "Two-Way Mean Group Estimators for Heterogeneous Panel Models with Fixed T." *Econometrics Journal* (2026). https://doi.org/https://doi.org/10.1093/ectj/utag010. Two-Way Mean Group Estimators for Heterogeneous Panel Models with Fixed T
S. Jin et al. · Econometrics Journal · 2026
https://doi.org/https://doi.org/10.1093/ectj/utag010 Copy
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