diff_diff.GroupTimeEffect

class diff_diff.GroupTimeEffect

Bases: object

Treatment effect for a specific group-time combination.

group

The treatment cohort (first treatment period).

Type:

any

time

The time period.

Type:

any

effect

The ATT(g,t) estimate.

Type:

float

se

Standard error.

Type:

float

n_treated

Number of treated observations.

Type:

int

n_control

Number of control observations.

Type:

int

skip_reason

None for an estimable cell; otherwise a machine-readable reason the cell is non-estimable ("missing_period", "zero_treated_control", "zero_weight_mass", "non_finite_regression") and effect/se are NaN. Non-estimable cells are excluded from all aggregation.

Type:

str or None

Methods

__init__(group, time, effect, se, t_stat, ...)

Attributes

is_significant	Check if effect is significant at 0.05 level.
significance_stars	Return significance stars based on p-value.
skip_reason
group
time
effect
se
t_stat
p_value
conf_int
n_treated
n_control

__init__(group, time, effect, se, t_stat, p_value, conf_int, n_treated, n_control, skip_reason=None)

Parameters:

• group (Any)

• time (Any)

• effect (float)

• se (float)

• t_stat (float)

• p_value (float)

• conf_int (Tuple[float, float])

• n_treated (int)

• n_control (int)

• skip_reason (str | None)

Return type:

None

classmethod __new__(*args, **kwargs)