Once declared, Stata:
* Standard summary xtsum
The primary command for this is . You tell Stata which variable identifies the panels (the cross-sectional units) and, optionally, which variable identifies the time periods. The basic syntax is:
xtset country_id year
: GMM is powerful but complex. Check for overidentifying restrictions with Hansen test after estimation.
Output includes:
In this command, id represents the unique entity identifier, and year represents the time variable. Initializing the Panel Structure stata panel data
Frequency of observations per panel xtdescribe
To fill in gaps with missing values (use cautiously):
For binary dependent variables (e.g., union=1 ): Once declared, Stata: * Standard summary xtsum The
Before you can analyze panel data, you must declare it as such. This step is the foundation for all subsequent xt commands.
Measures how much entities differ from one another.
Note: Always use clustered standard errors at the panel ID level to account for serial correlation. Fixed Effects (FE) This step is the foundation for all subsequent xt commands
We will use a hypothetical dataset employment.dta with variables: