To understand the variation in your data, use the xtdescribe and xtsum commands:
* Syntax: xtdepvar indepvars, fe xtreg y x1 x2, fe
For example, to estimate a fixed effects model: stata panel data
Can estimate time-invariant variables and is generally more efficient if its assumptions hold. D. Choosing Between FE and RE: Hausman Test To determine whether to use FE or RE, run a Hausman test:
Properly executing xtset unlocks Stata’s specialized longitudinal operators. For example, you can now use lag ( L. ), lead ( F. ), and difference ( D. ) operators directly in your analysis: L.income represents income from the previous period ( To understand the variation in your data, use
Use asdoc to send results directly to Word:
is correlated with your independent variables, Pooled OLS estimates suffer from . For example, you can now use lag ( L
asdoc xtreg wage experience union i.year, fe
Each row represents a unique combination of a cross-sectional unit and a specific time period. This is the format required by Stata for panel analysis.