Stata Panel Data Exclusive: Patched

(over 1,000 pages) that covers the theoretical background and practical application of every panel command. Primary Panel Data Models in Stata Pooled OLS

Similarly, for count data (patents, accidents), skip xtnbreg and use menbreg (multilevel negative binomial):

Why exclusive? reghdfe can absorb millions of fixed effects without memory overflow. It also reports the partial R-squared for each absorbed dimension—something xtreg cannot do.

xtset panel_id time_var

For panels with structural breaks, the xtbunitroot module allows testing with breakpoints.

* Running a regression with a lagged independent variable xtreg investment L.capital market_value, fe Use code with caution. 2. Exploring Panel Topology: xtsum , xttab , and xtline

* Exclusive DiD for panel xtset id time xtdidregress (y x1 x2) (treatment), group(id) time(time) * Post-estimation: Test parallel trends estat ptrends stata panel data exclusive

For binary outcomes, you can implement either fixed or random effects models.

Real-world datasets are rarely perfect. You must diagnose whether your panel is balanced (every unit observed at every time period) or unbalanced, and whether it contains internal time gaps. * Exclusive diagnostic tool for panel patterns xtdes Use code with caution.

For nonstationary panels, provides a comprehensive battery of tests: (over 1,000 pages) that covers the theoretical background

The Hausman test determines if the unobserved individual effects are correlated with your regressors. RE is consistent and efficient (no correlation). Alternative Hypothesis ( Hacap H sub a

Stata allows for complex interactions between panel variables using factor variable notation:

For macro panels with long time dimensions and potential cointegration, the command implements the Pooled Mean Group (PMG) estimator developed by Pesaran, Shin, and Smith. This allows short-run coefficients to vary across groups while constraining long-run coefficients to be identical. It also reports the partial R-squared for each