Huber, Martin Schelker, Mark Strittmatter, Anthony 2020 We propose a novel approach for causal mediation analysis based on changesin- changes assumptions restricting unobserved heterogeneity over time. This allows disentangling the causal effect of a binary treatment on a continuous outcome into an indirect effect operating through a binary intermediate variable (called mediator) and a direct effect running via other causal mechanisms. We identify average and quantile direct and indirect effects for various subgroups under the condition that the outcome is monotonic in the unobserved heterogeneity and that the distribution of the latter does not change over time conditional on the treatment and the mediator. We also provide a simulation study and an empirical application to the Jobs II programme. application/pdf https://sonar.ch/global/documents/309352 https://sonar.ch/documents/309352/files/directandindirecteffectsbasedonchanges-in-changes.pdf eng info:eu-repo/semantics/altIdentifier/doi/10.1080/07350015.2020.1831929 info:eu-repo/semantics/openAccess License undefined Journal of Business and Economic Statistics. - 2022, vol. 40, no. 1, p. 432-443 Direct effects indirect effects mediation analysis changes-in-changes causal info:eu-repo/classification/udc/33 Direct and Indirect Effects based on Changes-in-Changes http://purl.org/coar/resource_type/c_6501