econml.inference.LinearModelFinalInferenceDiscrete

class econml.inference.LinearModelFinalInferenceDiscrete

Bases: econml.inference._inference.GenericModelFinalInferenceDiscrete

Inference method for estimators with categorical treatments, where a linear in X model is used for the CATE associated with each treatment. Implements the coef__interval and intercept__interval based on the corresponding methods of the underlying model_final estimator.

__init__()

Methods

__init__()
ate_inference([X, T0, T1])
ate_interval([X, T0, T1, alpha])
coef__inference(T)
coef__interval(T, *[, alpha])
const_marginal_ate_inference([X])
const_marginal_ate_interval([X, alpha])
const_marginal_effect_inference(X)
const_marginal_effect_interval(X, *[, alpha])
effect_inference(X, *, T0, T1)
effect_interval(X, *, T0, T1[, alpha])
fit(estimator, *args, **kwargs)	Fits the inference model.
intercept__inference(T)
intercept__interval(T, *[, alpha])
marginal_ate_inference(T[, X])
marginal_ate_interval(T[, X, alpha])
prefit(estimator, *args, **kwargs)	Performs any necessary logic before the estimator's fit has been called.

fit(estimator, *args, **kwargs)

Fits the inference model.

This is called after the estimator’s fit.

prefit(estimator, *args, **kwargs)

Performs any necessary logic before the estimator’s fit has been called.