) rejects the null hypothesis, meaning significant panel effects exist. You should choose Random Effects over Pooled OLS. Fixed Effects vs. Random Effects (Hausman Test)
. The null hypothesis is that the RE estimator is consistent and efficient.
): Represents the time periods (e.g., years 2020 through 2025).
Before running regressions, use these commands to report the structure and balance of your panel: Panel Data Analysis Fixed and Random Effects using Stata stata panel data
: If the randomness assumption is violated, the coefficients will be biased and inconsistent. 4. Model Selection Tests
reshape wide stubname, i(panelvar) j(timevar)
regress gdp investment unemployment, vce(cluster country_id) Use code with caution. ) rejects the null hypothesis, meaning significant panel
FE is Stata’s superstar. It controls for time-invariant unobservables (e.g., corporate culture, country geography). But:
If effects of time-varying variables differ across panels:
Eliminates bias from omitted variables that are constant over time. Random Effects (Hausman Test)
To run a fixed effects model in Stata, you use the fe option:
xtreg wage educ experience union i.year, re
xtreg gdp investment unemployment, fe vce(cluster country_id) Use code with caution.
Or keep only first observation per panel:
You need two identifier variables: a (entity) and a time ID (period).