A few months ago, a post in this series discussed a recently published article in the American Political Science Review by Acharya et al. (2016, ungated version here) in which the authors developed a method to test whether a mediator variable [math]M[/math] is a mechanism whereby treatment variable [math]D[/math] causes outcome variable [math]Y[/math].
At the time, I suggested to one of my PhD students that she should use that method to test for a presumed mechanism in her job-market paper, but since her identification strategy was based on an IV, it really wasn’t clear that Acharya et al.’s method could be applied to her research question.
A few weeks ago, a new working paper by Dippel et al. (2017) was released titled “Instrumental Variables and Causal Mechanisms: Unpacking the Effect of Trade on Workers and Voters.” Although Dippel et al.’s application is really timely–Do trade shocks cause people to vote for populist parties by turning them into disgruntled workers?–I’ll focus in this post on their methodological innovation.
