Generate data (or import real data) do "generate_data.do"
Use the fe option to request fixed effects. Stata automatically includes a dummy variable for each panel unit (absorbing the unit fixed effects). In the output, you will see an F‑test that jointly tests whether the unit fixed effects are zero—a significant F‑statistic indicates that panel data methods are necessary.
With this guide, you have a complete reference. Now load your data, type xtset , and let the analysis begin.
is large), check for unit roots using xtunitroot to avoid spurious regressions. 4. Advanced Techniques stata panel data
Stata handles both gracefully, but you need to be aware of the distinction because estimation methods treat missing data differently.
xtscc gdp fdi trade gcf, fe lag(2)
webuse nlswork, clear
) means the RE assumptions are violated. You must use . 5. Diagnostic Checking
After running xtset , Stata will display information about your panel.
It allows you to include time-invariant variables (like gender or region) in your regression. It is also more statistically efficient than FE if its underlying assumption holds. Generate data (or import real data) do "generate_data
Assumes individual effects are uncorrelated with regressors. More efficient than FE, but the assumption is often implausible.
When you run xtreg, fe , Stata automatically includes an F-test at the bottom of the output window:
Stata makes it easy to mathematically determine which of the three models is most appropriate for your data. With this guide, you have a complete reference
Result: CD = 5.32, p-value = 0.000 → Cross-sectional dependence exists.