Panel Data | Stata

Once your data is in the long format, you must tell Stata which variables define the entity and time dimensions. You achieve this using the xtset command: xtset id year Use code with caution.

asdoc xtreg wage experience union i.year, fe

Regresses unit means against each other. Rarely used alone. stata panel data

If the p-value < 0.05, FE is consistent and RE is inconsistent. Use FE. If p-value > 0.05, RE is more efficient.

For the NLSW data:

This assumes that the unobserved unit-specific effects are uncorrelated with the independent variables. It allows you to estimate time-invariant variables.

Panel data is typically preferred in , where each row represents a unique combination of entity and time, rather than wide format , where multiple observations for one entity exist in a single row. Once your data is in the long format,

Panel data errors are rarely i.i.d. They typically exhibit and serial correlation (within unit). Use cluster-robust standard errors.

Stata recognizes the panel structure when creating lags or differences, ensuring it does not calculate the difference between two different entities. Rarely used alone

Convert your dataset to a long format using reshape long .

Scatter plot with regression line (be sure to specify the panels) twoway (scatter y x) (lfit y x), by(country_id)