Causeparametrin
Causeparametrin (CP) is a theoretical parameter used in causal modeling to quantify how the effect of a designated cause on an outcome can vary under an intervention. Conceptually, CP captures the strength and direction of a causal influence within a specified structural or potential-outcomes framework, serving as a compact description of effect heterogeneity or context dependence.
In a simple linear form, CP may enter the model as an interaction with the cause: Y
Estimation and identification of causeparametrin rely on linking the observed data to the underlying causal model.
Relation to other concepts: CP is closely related to heterogeneous treatment effects, moderation and interaction analyses
Limitations: CP depends on the chosen model and assumptions about the data-generating process. If the functional