moderndid.didinter.container.DIDInterResult

class moderndid.didinter.container.DIDInterResult(effects: EffectsResult, placebos: PlacebosResult | None = None, ate: ATEResult | None = None, n_units: int = 0, n_switchers: int = 0, n_never_switchers: int = 0, ci_level: float = 95.0, effects_equal_test: dict | None = None, placebo_joint_test: dict | None = None, influence_effects: ndarray | None = None, influence_placebos: ndarray | None = None, heterogeneity: list | None = None, estimation_params: dict = {}, vcov_warnings: list = [])

Bases: NamedTuple

Container for DIDInter estimation results.

This class implements the maketables plug-in interface for publication-quality tables. See Publication Tables with maketables.

Attributes:

effectsEffectsResult

Treatment effects for each post-treatment horizon.

placebosPlacebosResult, optional

Placebo effects for each pre-treatment horizon.

ateATEResult, optional

Average total effect across all horizons.

n_unitsint

Total number of units in the sample.

n_switchersint

Number of switchers in the sample.

n_never_switchersint

Number of never-switchers in the sample.

ci_levelfloat

Confidence level used for intervals (e.g., 95.0).

effects_equal_testdict, optional

Test for equality of effects across horizons.

placebo_joint_testdict, optional

Joint test that all placebo effects are zero.

influence_effectsnumpy.ndarray, optional

Influence function for effects.

influence_placebosnumpy.ndarray, optional

Influence function for placebos.

heterogeneitylist[HeterogeneityResult], optional

Heterogeneous effects analysis results for each horizon.

estimation_paramsdict

Parameters used for estimation.

vcov_warningslist

Variance-covariance warnings.

Methods

count(value, /)	Return number of occurrences of value.
index(value[, start, stop])	Return first index of value.

Attributes

ate	Average total effect across all horizons.
ci_level	Confidence level used for intervals.
effects	Treatment effects for each post-treatment horizon.
effects_equal_test	Test for equality of effects across horizons.
estimation_params	Parameters used for estimation.
heterogeneity	Heterogeneous effects analysis results.
influence_effects	Influence function for effects.
influence_placebos	Influence function for placebos.
n_never_switchers	Number of never-switchers in the sample.
n_switchers	Number of switchers in the sample.
n_units	Total number of units in the sample.
placebo_joint_test	Joint test that all placebo effects are zero.
placebos	Placebo effects for each pre-treatment horizon.
vcov_warnings	Variance-covariance warnings.