Stata Panel Data |top| -

xtreg y x1 x2, re

* Basic syntax xtset panel_id time_variable

To ensure reproducible, reliable, and publication‑ready results, adopt these habits: stata panel data

Panel data, also known as longitudinal data, tracks the same cross-sectional units (such as individuals, firms, states, or countries) over multiple time periods. By combining both space and time dimensions, panel data allows researchers to control for unobserved individual heterogeneity and analyze dynamic changes.

Plot a single variable with average overlay xtline gdp, overlay xtreg y x1 x2, re * Basic syntax

We model economic growth as a function of FDI and other determinants:

Use hausman and xttest0 to isolate the correct estimator. For categorical or binary variables, xttab conducts panel

For categorical or binary variables, xttab conducts panel tabulations, showing how frequently units transition between states over time: xttab employment_status Use code with caution. 3. Core Panel Data Regression Models

: Clean and import your dataset, then explicitly declare the panel structure using xtset . 2. Explore & Balance : Use xtdescribe and xtsum to understand gaps and variation, addressing issues like duplicates or missing time points. 3. Estimate Model : Start with benchmark xtreg, fe and xtreg, re models, performing the Hausman test to guide your initial choice. 4. Address Endogeneity : If concerns exist (e.g., reverse causality), advance to xtivreg or dynamic GMM estimators, carefully evaluating instrument validity. 5. Validate & Robustness : Perform diagnostic tests for serial correlation, use robust standard errors, and test the sensitivity of your results to model specification.