Replication data for: Unpacking the Black Box of Causality: Learning about Causal Mechanisms from Experimental and Observational Studies

First, we present a minimum set of assumptions required under standard designs of experimental and observational studies and develop a general algorithm for estimating causal mediation effects. Second, we provide a method to assess sensitivity of conclusions to potential violations of a key assumption. Third, we offer alternative research designs for identifying causal mechanisms under weaker assumptions.

The proposed approach is illustrated using media framing experiments and incumbency advantage studies