moderndid.EmfxResult#

class moderndid.EmfxResult(overall_att: float, overall_se: float, aggregation_type: str, event_times: ndarray | None = None, att_by_event: ndarray | None = None, se_by_event: ndarray | None = None, ci_lower: ndarray | None = None, ci_upper: ndarray | None = None, critical_value: float = 1.96, n_obs: int = 0, estimation_params: dict = {})[source]#

Bases: NamedTuple

Container for aggregated ETWFE marginal effects.

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

Returned by emfx.

Attributes:

overall_attfloat: Overall average treatment effect on the treated.
overall_sefloat: Standard error for the overall ATT.
aggregation_typestr: Type of aggregation: "simple", "group", "calendar", or "event".
event_timesnumpy.ndarray or None: Event times, groups, or calendar times for non-simple aggregations.
att_by_eventnumpy.ndarray or None: ATT estimates for each aggregation level.
se_by_eventnumpy.ndarray or None: Standard errors for each aggregation level.
ci_lowernumpy.ndarray or None: Lower confidence interval bounds.
ci_uppernumpy.ndarray or None: Upper confidence interval bounds.
critical_valuefloat: Critical value used for confidence intervals.
n_obsint: Number of observations in the original regression.
estimation_paramsdict: Additional estimation parameters.

Methods

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

Attributes

`aggregation_type`	Type of aggregation: "simple", "group", "calendar", or "event".
`att_by_event`	ATT estimates for each aggregation level.
`ci_lower`	Lower confidence interval bounds.
`ci_upper`	Upper confidence interval bounds.
`critical_value`	Critical value used for confidence intervals.
`estimation_params`	Estimation parameters (alpha, vcov_type, etc.).
`event_times`	Event times, groups, or calendar times for non-simple aggregations.
`n_obs`	Number of observations in the original regression.
`overall_att`	Overall average treatment effect on the treated.
`overall_se`	Standard error for the overall ATT.
`se_by_event`	Standard errors for each aggregation level.