Hi all,
Our first virtual meeting of the semester will be Wednesday, September 9,
where we will hear Matthew Blackwell <https://www.mattblackwell.org/>
(Harvard University) presents research on "Noncompliance and instrumental
variables for 2^K factorial experiments."
*Abstract*:
Factorial experiments are widely used to assess the marginal, joint, and
interactive effects of multiple concurrent factors. While a robust
literature covers the design and analysis of these experiments, there is
less work on how to handle treatment noncompliance in this setting. To fill
this gap, we introduce a new methodology that uses the potential outcomes
framework for analyzing 2^K factorial experiments with noncompliance on any
number of factors. This framework builds on and extends the literature on
both instrumental variables and factorial experiments in several ways.
First, we define novel, complier-specific quantities of interest for this
setting and show how to generalize key instrumental variables assumptions.
Second, we show how partial compliance across factors gives researchers a
choice over different types of compliers to target in estimation. Third, we
show how to conduct inference for these new estimands from both the
finite-population and superpopulation asymptotic perspectives. Finally, we
illustrate these techniques by applying them to two field experiments—one
on the effects of cognitive behavioral therapy on crime and the other on
the effectiveness of different forms of get-out-the-vote canvassing. New
easy-to-use, open-source software implements the methodology.
A copy of the paper can be found here
<https://www.mattblackwell.org/files/papers/factorial-iv.pdf>.
*Zoom link*:
https://harvard.zoom.us/j/99424949004?pwd=aWtPNFM3ZzFYbWxIMXNoZDlyUElVZz09
*When*: Wednesday, September 9 at 12noon -- 1:30pm.
The information and schedule of the seminar can be found on our website
<https://projects.iq.harvard.edu/applied.stats.workshop-gov3009/home> and
Google calendar
https://bit.ly/30QZJ9k.
Best,
Soichiro Yamauchi
--
Soichiro Yamauchi
PhD candidate
Harvard University
URL:
https://soichiroy.github.io/