moderndid.DDDAggResult#

class moderndid.DDDAggResult(overall_att: float, overall_se: float, aggregation_type: Literal['simple', 'eventstudy', 'group', 'calendar'], egt: ndarray | None = None, att_egt: ndarray | None = None, se_egt: ndarray | None = None, crit_val: float = 1.96, inf_func: ndarray | None = None, inf_func_overall: ndarray | None = None, args: dict = {})[source]#

Bases: NamedTuple

Container for aggregated DDD treatment effect parameters.

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

Attributes:

overall_attfloat: The estimated overall average treatment effect on the treated.
overall_sefloat: Standard error for overall ATT.
aggregation_type{‘simple’, ‘eventstudy’, ‘group’, ‘calendar’}: Type of aggregation performed.
egtnumpy.ndarray, optional: Event times, groups, or calendar times depending on aggregation type.
att_egtnumpy.ndarray, optional: ATT estimates for each element in egt.
se_egtnumpy.ndarray, optional: Standard errors for each element in egt.
crit_valfloat: Critical value for confidence intervals.
inf_funcnumpy.ndarray, optional: Influence function matrix for disaggregated effects.
inf_func_overallnumpy.ndarray, optional: Influence function for the overall ATT.
argsdict: Arguments used for aggregation.

Methods

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

Attributes

`aggregation_type`	Type of aggregation performed.
`args`	Arguments used for aggregation.
`att_egt`	ATT estimates for each element in egt.
`crit_val`	Critical value for confidence intervals.
`egt`	Event times, groups, or calendar times depending on aggregation type.
`inf_func`	Influence function matrix for disaggregated effects.
`inf_func_overall`	Influence function for the overall ATT.
`overall_att`	Estimated overall average treatment effect on the treated.
`overall_se`	Standard error for overall ATT.
`se_egt`	Standard errors for each element in egt.