Stata Panel Data [patched] Today[Previous][Next]

Stata Panel Data [patched] Today

merge 1:1 id year using another_panel.dta

Once your data is in the long format, you must explicitly tell Stata that the dataset has a panel structure. This is achieved using the xtset command: xtset id year Use code with caution.

Variation across the distinct entities (ignoring time).

Panel data nearly always has correlated errors within panels. Always cluster: stata panel data

Some entities are missing observations for certain periods, which is common in real-world surveys or cross-country analysis. 2. Setting Up Panel Data in Stata

Use the xtset command to tell Stata which variables define the panels and the time. xtset country_id year Use code with caution. Copied to clipboard

Stata is widely considered the industry standard for panel data analysis due to its intuitive syntax and robust handling of longitudinal datasets merge 1:1 id year using another_panel

regress wage educ experience union i.year

Stata provides several commands for estimating common panel data models, including:

xtabond wage L.wage hours tenure, lags(1) twostep robust Panel data nearly always has correlated errors within panels

Why does this matter? Because panel data allows you to control for unobserved heterogeneity—the "invisible" variables that differ across entities but remain constant over time. For example, when studying the impact of education policy on test scores, panel data can control for inherent differences in school quality or regional culture that you cannot measure directly.

Want to include a lagged dependent variable? FE is inconsistent (Nickell bias). Enter Arellano-Bond ( xtabond ). Stata’s implementation is powerful but:

). If your data is in a "wide" format (e.g., separate columns for income in 2020, 2021, and 2022), you must reshape it first. Reshaping Data

: xtabond2 in Stata (user-written, by Roodman) is more flexible than official xtabond . Yet many journals still accept the older command.

Used when the lagged dependent variable is included as a predictor (e.g., ). Use xtabond or xtabond2 (for Difference or System GMM).