If your diagnostics reveal heteroskedasticity or serial correlation, standard OLS and standard xtreg errors are invalid. You must apply cluster-robust standard errors. This adjusts the variance-covariance matrix to allow for correlation within entities while keeping entities independent.
In macro-panels (e.g., country data over decades), shocks like global recessions affect all units simultaneously. You can test for this cross-sectional correlation and correct it: stata panel data
Stata will output the panel variable, the time variable, and whether the panel is (all entities have data for all time periods) or unbalanced (some entities have missing time periods). 2. Exploring and Visualizing Panel Data In macro-panels (e
Scatter plot with regression line (be sure to specify the panels) twoway (scatter y x) (lfit y x), by(country_id) Exploring and Visualizing Panel Data Scatter plot with
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It allows you to include time-invariant variables in your regression. It is also more efficient than Fixed Effects if its underlying assumptions hold true. 4. Model Selection Tests