Arbeitspapier

Identification of causal mechanisms based on between-subject double randomization designs

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.

Language
Englisch

Bibliographic citation
Series: WWZ Working Paper ; No. 2018/19

Classification
Wirtschaft
Multiple or Simultaneous Equation Models: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
Altruism; Philanthropy; Intergenerational Transfers
Subject
direct and indirect effects
causal inference
mediation analysis
identification

Event
Geistige Schöpfung
(who)
Strobl, Renate
Wunsch, Conny
Event
Veröffentlichung
(who)
University of Basel, Center of Business and Economics (WWZ)
(where)
Basel
(when)
2018

DOI
doi:10.5451/unibas-ep64979
Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Arbeitspapier

Associated

  • Strobl, Renate
  • Wunsch, Conny
  • University of Basel, Center of Business and Economics (WWZ)

Time of origin

  • 2018

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