Heterogeneous structural breaks in panel data models

نویسندگان

چکیده

This paper develops a new model and estimation procedure for panel data that allows us to identify heterogeneous structural breaks. We individual heterogeneity using grouped pattern. For each group, we allow common breaks in the coefficients. However, number, timing, size of these can differ across groups. develop hybrid fixed effects approach adaptive group fused Lasso. show our method consistently latent structure, detect breaks, estimate regression parameters. Monte Carlo results demonstrate good performance proposed finite samples. An empirical application relationship between income democracy illustrates importance considering

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ژورنال

عنوان ژورنال: Journal of Econometrics

سال: 2021

ISSN: ['1872-6895', '0304-4076']

DOI: https://doi.org/10.1016/j.jeconom.2020.04.009