statsmodels.treatment.treatment_effects.TreatmentEffectResults

class statsmodels.treatment.treatment_effects.TreatmentEffectResults(teff, results_gmm, method, **kwds)

Results class for treatment effect estimation

Parameters:

teffinstance of TreatmentEffect class

The treatment effect instance that produced the results.

results_gmminstance of GMMResults class

The GMM results instance used to compute the treatment effect parameters and their covariance.

method{“IPW”, “RA”, “AIPW”, “AIPW-WLS”, “IPW-RA”}

Method and estimator of treatment effect, corresponding to the TreatmentEffect method that produced the results.

**kwds

Other keywords with additional information.

Methods

conf_int([alpha])	Return the confidence interval of the value, effect of the constraint
summary([xname, alpha, title])	Summarize the results of the hypothesis test
summary_frame([xname, alpha])	Return the parameter table as a pandas DataFrame

Notes

This class is a subclass of ContrastResults and inherits methods like summary, summary_frame and conf_int. Attributes correspond to a z-test given by GMMResults.t_test.

Methods

conf_int([alpha])	Return the confidence interval of the value, effect of the constraint
summary([xname, alpha, title])	Summarize the results of the hypothesis test
summary_frame([xname, alpha])	Return the parameter table as a pandas DataFrame

Properties

df_denom

normal