Affiner les résultats

A framework for separating individual treatment effects from spillover, interaction, and general equilibrium effects

Huber, Martin ; Steinmayr, Andreas

(Working Papers SES ; 481)

This paper suggests a causal framework for disentangling individual level treatment effects and interference effects, i.e., general equilibrium, spillover, or interaction effects related to treatment distribution. Thus, the framework allows for a relaxation of the Stable Unit Treatment Value Assumption (SUTVA), which assumes away any form of treatment-dependent interference between study...