import pyfixest as pf
fit = pf.feols("Y ~ X1 + X2 | f1", pf.get_data())
fit.se()Coefficient
X1 0.066373
X2 0.017596
Name: Std. Error, dtype: float64
Coefficient standard errors as a pandas Series.
Returns the Std. Error column of tidy(). The values depend on the variance estimator of the model, which can be changed via vcov().
| Name | Type | Description |
|---|---|---|
| pandas.Series | Standard errors, indexed by coefficient name. |