Stata Panel — Data Exclusive
Mastering Panel Data in Stata: A Guide to "Exclusive" Estimation Techniques
5. Advanced Panel Data Diagnostics & Robust Inference
xtset id year → verify structure
xtsum, xtdescribe → understand variation
- Pooled OLS with clustered SE → baseline
- FE model → time-invariant heterogeneity
- RE model → efficiency if uncorrelated
- Hausman test → FE vs. RE
- Add time FE → two-way FE
- Test serial correlation → if present, use FE with lag or GMM
- If lagged DV needed →
xtdpdsys
* Use 'ib3.status' to set base to 3 xtreg profit ib3.status, fe
- Make sure your data is in long format: Panel data should be in long format, with each row representing an observation on a panel unit at a particular point in time.
- Use the
xt commands: The xt commands are specifically designed for panel data and provide a range of features and options that make it easy to work with panel data.
- Be mindful of time-varying and time-invariant variables: Time-varying variables change over time, while time-invariant variables do not. Make sure to account for this when specifying your model.