My data has cross-sectional dependence, heteroscedasticity and autocorrelation. However, FGLS doesn't fit my assumptions. what should I do?

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Adnan Ali Chaudhary

Apply newey west and white noise also apply cross colograme and break the errors chain , take difference 1,2 and three

apply hac test

Arsen Kelly

Try the Panel Corrected Standard Errors (PCSE) or the Generalized Method of Moments (GMM).

PCSE provide a way to account for heteroscedasticity and cross-sectional dependence, and they offer more flexibility than FGLS in addressing the violation of conventional assumptions. PCSE performs well in the presence of cross-sectional dependence and can mitigate issues related to heteroscedasticity, making it a worthy alternative to FGLS.