Does the data panel consisting of cross sections and time series do not require classical assumption tests?
There are few tests you can use for panel data analysis.
1. Panel unit root test
2. random effect or fixed effect ( Hausaman Test)
3. Test for heteroskedasticity
4. Serial correlelation tests for long time series.
Please refer below attachment for more details
Yes, at first you have to check multicollinearity, heteroscedasticity and serial correlation.
why every research using SEM must have 200 data minimum? that is standard or not?
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