diff_diff.wooldridge_results.WooldridgeDiDResults

class diff_diff.wooldridge_results.WooldridgeDiDResults

Bases: object

Results from WooldridgeDiD.fit().

Core output is group_time_effects: a dict keyed by (cohort_g, time_t) with per-cell ATT estimates and inference. Call .aggregate(type) to compute any of the four jwdid_estat aggregation types.

Methods

__init__(group_time_effects, overall_att, ...)
aggregate(type)	Compute and store one of the four jwdid_estat aggregation types.
plot_event_study(**kwargs)	Event study plot.
summary([aggregation])	Print formatted summary table.
to_dataframe([aggregation])	Export aggregated effects to a DataFrame.

Attributes

alpha
anticipation
att
calendar_effects
conf_int
control_group
event_study_effects
group_effects
method
n_control_units
n_obs
n_treated_units
p_value
se
survey_metadata
t_stat
group_time_effects	key=(g,t), value={att, se, t_stat, p_value, conf_int}
overall_att
overall_se
overall_t_stat
overall_p_value
overall_conf_int
groups
time_periods

__init__(group_time_effects, overall_att, overall_se, overall_t_stat, overall_p_value, overall_conf_int, group_effects=None, calendar_effects=None, event_study_effects=None, method='ols', control_group='not_yet_treated', groups=<factory>, time_periods=<factory>, n_obs=0, n_treated_units=0, n_control_units=0, alpha=0.05, anticipation=0, survey_metadata=None, _gt_weights=<factory>, _gt_vcov=None, _gt_keys=<factory>, _df_survey=None)

Parameters:

• group_time_effects (Dict[Tuple[Any, Any], Dict[str, Any]])

• overall_att (float)

• overall_se (float)

• overall_t_stat (float)

• overall_p_value (float)

• overall_conf_int (Tuple[float, float])

• group_effects (Dict[Any, Dict] | None)

• calendar_effects (Dict[Any, Dict] | None)

• event_study_effects (Dict[int, Dict] | None)

• method (str)

• control_group (str)

• groups (List[Any])

• time_periods (List[Any])

• n_obs (int)

• n_treated_units (int)

• n_control_units (int)

• alpha (float)

• anticipation (int)

• survey_metadata (Any | None)

• _gt_weights (Dict[Tuple[Any, Any], int])

• _gt_vcov (ndarray | None)

• _gt_keys (List[Tuple[Any, Any]])

• _df_survey (int | None)

Return type:

None

classmethod __new__(*args, **kwargs)