Dear Applied Statistics Workshop Community,
Our next meeting of the semester will be on September 21 (12:00 EST).
Matthew Blackwell will present "Difference-in-differences Designs for
Controlled Direct Effects."
<Where>
In-person: CGIS K354
Bagged lunches are available for pick-up at 11:40 (CGIS K354).
Zoom:
https://harvard.zoom.us/j/99181972207?pwd=Ykd3ZzVZRnZCSDZqNVpCSURCNnVvQT09
<Abstract>
Political scientists are increasingly interested in controlled direct
effects, which are important quantities of interest for understanding why,
how, and when causal effects will occur. Unfortunately, their
identification has usually required strong and often unreasonable
selection-on-observables assumptions for the mediator. In this paper, we
show how to identify and estimate controlled direct effects under a
difference-in-differences design where we have measurements of the outcome
and mediator before and after treatment assignment. This design allows us
to weaken the identification assumptions to allow for linear, time-constant
unmeasured confounding between the mediator and the outcome. Furthermore,
we develop a semiparametrically efficient and multiply robust estimator for
these quantities and apply our approach to a recent experiment evaluating
the effectiveness of short conversations at reducing intergroup prejudice.
An open-source software package implements the methodology with a variety
of flexible, machine-learning algorithms to avoid bias from
misspecification.
<2022 Schedule>
GOV 3009 Website:
https://projects.iq.harvard.edu/applied.stats.workshop-gov3009
Calendar:
https://calendar.google.com/calendar/embed?src=c_3v93pav9fjkkldrbu9snbhned8…
Best,
Shusei