Stata Panel Data -

This model was like a personal filter. It ignored things that stayed the same for a person (like their birthplace or genetic traits) and only looked at how in education led to

Now to the heart of the matter: estimating models. stata panel data

Time-invariant variables (e.g., gender, country continent) will be dropped in fixed effects models. This model was like a personal filter

FD is FE’s cousin, but in Stata, reg d.y d.x (manual first-differencing) gives different standard errors than xtreg, fd due to how Stata handles time gaps. For T=2, FD=FE. For T>2, FD is less efficient if errors are serially uncorrelated. But if errors follow a random walk, FD beats FE. Most Stata users never check. FD is FE’s cousin, but in Stata, reg d

Stata will report if the panel is "strongly balanced" (no missing years for any entity) or "unbalanced". 2. Core Estimation Models

Run these after your main estimation.