Titelaufnahme

Titel
Identification of causal mechanisms based on between-subject double randomization designs / Conny Wunsch (University of Basel, CEPR, CESifo and IZA), Renate Strobl (University of Basel) ; IZA Institute of Labor Economics
VerfasserWunsch, Conny ; Strobl, Renate
KörperschaftForschungsinstitut zur Zukunft der Arbeit
ErschienenBonn, Germany : IZA Institute of Labor Economics, June 2018
Ausgabe
Elektronische Ressource
Umfang1 Online-Ressource (57 Seiten) : Illustrationen, Diagramme
SerieDiscussion paper ; no. 11626
URNurn:nbn:de:hbz:5:2-161238 
Zugriffsbeschränkung
 Das Dokument ist öffentlich zugänglich im Rahmen des deutschen Urheberrechts.
Volltexte
Identification of causal mechanisms based on between-subject double randomization designs [1.22 mb]
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Zusammenfassung

Understanding the mechanisms through which treatment effects come about is crucial for designing effective interventions. The identification of such causal mechanisms is challenging and typically requires strong assumptions. This paper discusses identification and estimation of natural direct and indirect effects in so-called double randomization designs that combine two experiments. The first and main experiment randomizes the treatment and measures its effect on the mediator and the outcome of interest. A second auxiliary experiment randomizes the mediator of interest and measures its effect on the outcome. We show that such designs allow for identification based on an assumption that is weaker than the assumption of sequential ignorability that is typically made in the literature. It allows for unobserved confounders that do not cause heterogeneous mediator effects. We demonstrate estimation of direct and indirect effects based on different identification strategies that we compare to our approach using data from a laboratory experiment we conducted in Kenya.