statsmodels.treatment.treatment_effects.TreatmentEffect.aipw_wls¶

TreatmentEffect.aipw_wls(return_results=True, disp=False)[source]¶

ATE and POM from double robust augmented inverse probability weighting.

This uses weighted outcome regression, while aipw uses unweighted outcome regression. Option for effect on treated or on untreated is not available.

Parameters:¶

return_resultsbool

If True, then a results instance is returned. If False, just ATE, POM0 and POM1 are returned.

dispbool

Indicates whether the scipy optimizer should display the optimization results

Returns:¶

TreatmentEffectsResults instance or tuple (ATE, POM0, POM1)

See also

TreatmentEffectsResults