SCSPILL

estimators.scspill.SCSPILL(config)

Spillover-aware synthetic control estimator (model sar).

Fits the Bayesian spatial-autoregressive spillover model of Sakaguchi & Tagawa (2026) – scspill’s first and, today, only model. Select it with method="sar"; that is the default, so existing code needs no change.

Parameters

Name	Type	Description	Default
config	SCSPILLConfig or dict	The estimation configuration; a dict is coerced into :class:scspill.config_models.SCSPILLConfig.	required

Examples

from scspill import SCSPILL
from scspill.data import load_california

panel = load_california()
result = SCSPILL(
    {**panel.config_kwargs(), "m_iter": 2000, "burn": 1000, "seed": 42}
).fit()
result.att, result.att_ci
result.rho_hat, result.rho_ci
result.spillover_panel["Nevada"]

Methods

Name	Description
fit	Estimate the model and return standardized results.

fit

estimators.scspill.SCSPILL.fit()

Estimate the model and return standardized results.

Runs the balance check, panel preparation, the two-step sampler, the posterior effect sweep, and (optionally) the default plot panel.

Returns

Name	Type	Description
	SCSPILLResults

Raises

Name	Type	Description
	ScspillDataError	On invalid panel data or misaligned spatial weights.
	ScspillEstimationError	On sampler or effect-computation failure.
	ScspillPlottingError	On plot generation failure (only when display_graphs).