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

__init__(group, time, effect, se, t_stat, p_value, conf_int, n_treated, n_control)

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)

Return type:

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.
group
time
effect
se
t_stat
p_value
conf_int
n_treated
n_control

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

property is_significant: bool

Check if effect is significant at 0.05 level.

property significance_stars: str

Return significance stars based on p-value.

__init__(group, time, effect, se, t_stat, p_value, conf_int, n_treated, n_control)

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)

Return type:

None