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- W4226071180 abstract "This paper considers linear panel data models with a grouped pattern of heterogeneity when the latent group membership structure and/or the values of slope coefficients change at a break point. We propose a least squares approach to jointly estimate the break point, group membership structure, and coefficients. The proposed estimators are consistent, and the asymptotic distribution of the coefficient estimators is identical to that under known break point and group structure even when the cross-sectional sample size is much larger than the length of time series. Monte Carlo simulations and an empirical example illustrate the use of the approach and associated inference." @default.
- W4226071180 created "2022-05-05" @default.
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- W4226071180 date "2023-03-01" @default.
- W4226071180 modified "2023-10-18" @default.
- W4226071180 title "Estimation of panel group structure models with structural breaks in group memberships and coefficients" @default.
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- W4226071180 doi "https://doi.org/10.1016/j.jeconom.2022.01.001" @default.
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