diff_diff.RegressionDiscontinuityResults

class diff_diff.RegressionDiscontinuityResults

Bases: BaseResults

Results of a regression discontinuity fit (sharp or fuzzy; the estimand field names which one, and first_stage* fields are populated on fuzzy fits only).

Canonical inference fields (att, se, t_stat, p_value, conf_int) all describe the ROBUST bias-corrected row: att is the bias-corrected point estimate and conf_int is centered on it (see module docstring for the binding rationale and the deviation from rdrobust’s printed headline). The conventional row is exposed as explicit *_conventional fields. The (rarely used) middle “Bias-Corrected” row shares its coefficient with att (both are tau_bc) and its standard error with se_conventional - only its inference triple carries the *_bias_corrected suffix (t_stat_bias_corrected, p_value_bias_corrected, conf_int_bias_corrected); there are deliberately no redundant att_bias_corrected / se_bias_corrected fields. Together the three rows mirror rdrobust’s output exactly.

Methods

__init__(att, se, t_stat, p_value, conf_int, ...)
print_summary()
summary()	Human-readable summary with the three-row rdrobust table.
to_dataframe()
to_dict()	Flat scalar dict; confidence intervals split into lower/upper.

Attributes

beta_p_left
beta_p_right
beta_t_p_left
beta_t_p_right
covariate_coefficients
covariates
covariates_dropped
first_stage
first_stage_conf_int
first_stage_conf_int_bias_corrected
first_stage_conf_int_conventional
first_stage_conventional
first_stage_covariate_coefficients
first_stage_p_value
first_stage_p_value_bias_corrected
first_stage_p_value_conventional
first_stage_se
first_stage_se_conventional
first_stage_t_stat
first_stage_t_stat_bias_corrected
first_stage_t_stat_conventional
att
se
t_stat
p_value
conf_int
alpha
att_conventional
se_conventional
t_stat_conventional
p_value_conventional
conf_int_conventional
t_stat_bias_corrected
p_value_bias_corrected
conf_int_bias_corrected
se_robust
h_left
h_right
b_left
b_right
n_obs
n_left
n_right
n_h_left
n_h_right
n_b_left
n_b_right
n_unique_left
n_unique_right
n_dropped
cutoff
p
q
kernel
bwselect
vcov_type
nnmatch
masspoints
bwcheck
bwrestrict
scaleregul
h_input
b_input
rho_input
estimand
sharpbw
treatment_col
covs_drop

__init__(att, se, t_stat, p_value, conf_int, alpha, att_conventional, se_conventional, t_stat_conventional, p_value_conventional, conf_int_conventional, t_stat_bias_corrected, p_value_bias_corrected, conf_int_bias_corrected, se_robust, h_left, h_right, b_left, b_right, n_obs, n_left, n_right, n_h_left, n_h_right, n_b_left, n_b_right, n_unique_left, n_unique_right, n_dropped, cutoff, p, q, kernel, bwselect, vcov_type, nnmatch, masspoints, bwcheck, bwrestrict, scaleregul, h_input, b_input, rho_input, estimand, sharpbw, treatment_col, covs_drop, first_stage=None, first_stage_se=None, first_stage_t_stat=None, first_stage_p_value=None, first_stage_conf_int=None, first_stage_conventional=None, first_stage_se_conventional=None, first_stage_t_stat_conventional=None, first_stage_p_value_conventional=None, first_stage_conf_int_conventional=None, first_stage_t_stat_bias_corrected=None, first_stage_p_value_bias_corrected=None, first_stage_conf_int_bias_corrected=None, covariates=None, covariates_dropped=None, covariate_coefficients=None, first_stage_covariate_coefficients=None, beta_p_left=None, beta_p_right=None, beta_t_p_left=None, beta_t_p_right=None)

Parameters:

• att (float)

• se (float)

• t_stat (float)

• p_value (float)

• conf_int (Tuple[float, float])

• alpha (float)

• att_conventional (float)

• se_conventional (float)

• t_stat_conventional (float)

• p_value_conventional (float)

• conf_int_conventional (Tuple[float, float])

• t_stat_bias_corrected (float)

• p_value_bias_corrected (float)

• conf_int_bias_corrected (Tuple[float, float])

• se_robust (float)

• h_left (float)

• h_right (float)

• b_left (float)

• b_right (float)

• n_obs (int)

• n_left (int)

• n_right (int)

• n_h_left (int)

• n_h_right (int)

• n_b_left (int)

• n_b_right (int)

• n_unique_left (int)

• n_unique_right (int)

• n_dropped (int)

• cutoff (float)

• p (int)

• q (int)

• kernel (str)

• bwselect (str)

• vcov_type (str)

• nnmatch (int)

• masspoints (str)

• bwcheck (int | None)

• bwrestrict (bool)

• scaleregul (float)

• h_input (float | None)

• b_input (float | None)

• rho_input (float | None)

• estimand (str)

• sharpbw (bool)

• treatment_col (str | None)

• covs_drop (bool)

• first_stage (float | None)

• first_stage_se (float | None)

• first_stage_t_stat (float | None)

• first_stage_p_value (float | None)

• first_stage_conf_int (Tuple[float, float] | None)

• first_stage_conventional (float | None)

• first_stage_se_conventional (float | None)

• first_stage_t_stat_conventional (float | None)

• first_stage_p_value_conventional (float | None)

• first_stage_conf_int_conventional (Tuple[float, float] | None)

• first_stage_t_stat_bias_corrected (float | None)

• first_stage_p_value_bias_corrected (float | None)

• first_stage_conf_int_bias_corrected (Tuple[float, float] | None)

• covariates (List[str] | None)

• covariates_dropped (List[str] | None)

• covariate_coefficients (Dict[str, float] | None)

• first_stage_covariate_coefficients (Dict[str, float] | None)

• beta_p_left (ndarray)

• beta_p_right (ndarray)

• beta_t_p_left (ndarray | None)

• beta_t_p_right (ndarray | None)

Return type:

None

classmethod __new__(*args, **kwargs)