diff_diff.PeriodEffect

class diff_diff.PeriodEffect

Bases: object

Treatment effect for a single time period.

period

The time period identifier.

Type:

any

effect

The treatment effect estimate for this period.

Type:

float

se

Standard error of the effect estimate.

Type:

float

t_stat

T-statistic for the effect estimate.

Type:

float

p_value

P-value for the null hypothesis that effect = 0.

Type:

float

conf_int

Confidence interval for the effect.

Type:

tuple[float, float]

__init__(period, effect, se, t_stat, p_value, conf_int)

Parameters:

• period (Any)

• effect (float)

• se (float)

• t_stat (float)

• p_value (float)

• conf_int (Tuple[float, float])

Return type:

None

Methods

__init__(period, effect, se, t_stat, ...)

Attributes

is_significant	Check if the effect is statistically significant at 0.05 level.
significance_stars	Return significance stars based on p-value.
period
effect
se
t_stat
p_value
conf_int

period: Any

effect: float

se: float

t_stat: float

p_value: float

conf_int: Tuple[float, float]

__repr__()

Concise string representation.

Return type:

str

property is_significant: bool

Check if the effect is statistically significant at 0.05 level.

property significance_stars: str

Return significance stars based on p-value.

__init__(period, effect, se, t_stat, p_value, conf_int)

Parameters:

• period (Any)

• effect (float)

• se (float)

• t_stat (float)

• p_value (float)

• conf_int (Tuple[float, float])

Return type:

None