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 … outcome. We show that such designs allow for identification based on an assumption that is weaker than the assumption of …

In absence of randomized controlled experiments, identification is often aimed via instrumental variable (IV … design credible identification strategies, aforemost finding candidates for valid instruments. We discuss prominent IV …

. We prove full identification without functional-form restrictions and we estimate models with data on twin pairs from the …

identification of average treatment effects on hazard rates without model structure. We estimate these effects by kernel hazard …

methods developed in Galichon and Salanié (2014), this paper proposes a new identification strategy for hedonic models in a …

causal parameters from their identification. He showed that causal parameters are de fined using hypothetical models that …-calculus of Pearl in securing identification of economic models. We extend our framework to consider models for simultaneous …

for identification of causal effects in economics, this chapter provides a critical review of methods and results. …