Dear members
I would like to seek guidance regarding one methodological issue in my study. I have identified a structural break in my panel data (Indian banks, 30 banks over 15 years). To address econometric issues such as cross-sectional dependence and heterogeneity, I have employed second-generation panel estimators, namely Panel-Corrected Standard Errors (PCSE), Feasible Generalized Least Squares (FGLS), and the Common Correlated Effects (CCE) estimator.
My query is whether, after identifying a structural break, it is necessary to explicitly incorporate the break (for example, through dummy variables or sub-sample estimation) in the final model, or whether second-generation panel models inherently account for such structural changes through their treatment of cross-sectional dependence and unobserved common factors.
If second-generation models are considered sufficient to address the implications of structural breaks, I would be grateful if you could suggest appropriate references supporting this approach.