PanelRegression.effect_summary#

PanelRegression.effect_summary(*, window='post', direction='increase', alpha=0.05, cumulative=True, relative=True, min_effect=None, treated_unit=None, period=None, prefix='Post-period', **kwargs)[source]#

Generate a decision-ready summary of causal effects.

Note

effect_summary() is not yet implemented for PanelRegression. Panel fixed-effects models estimate regression coefficients rather than time-varying causal impacts, so the standard ITS/SC-style effect summary does not directly apply. Use summary() for coefficient-level inference.

Raises:

NotImplementedError – Always raised; this method is a placeholder for future work.

Parameters:

  • window (Literal['post'] | tuple | slice)

  • direction (Literal['increase', 'decrease', 'two-sided'])

  • alpha (float)

  • cumulative (bool)

  • relative (bool)

  • min_effect (float | None)

  • treated_unit (str | None)

  • period (Literal['intervention', 'post', 'comparison'] | None)

  • prefix (str)

  • kwargs (Any)

Return type:

EffectSummary