6 citations · 6 across the 3 of their papers we have counts for
6 papers · 1 filter
The Balancing Act in Causal Inference
Eli Ben-Michael, Avi Feller, David A. Hirshberg +1
The idea of covariate balance is at the core of causal inference. Inverse propensity weights play a central role because they are the unique set of weights that balance the covaria…
Is it who you are or where you are? Accounting for compositional differences in cross-site treatment variation
Benjamin Lu, Eli Ben-Michael, Avi Feller +1
Multisite trials, in which treatment is randomized separately in multiple sites, offer a unique opportunity to disentangle treatment effect variation due to "compositional" differe…
A trial emulation approach for policy evaluations with group-level longitudinal data
Eli Ben-Michael, Avi Feller, Elizabeth A. Stuart
To limit the spread of the novel coronavirus, governments across the world implemented extraordinary physical distancing policies, such as stay-at-home orders, and numerous studies…
Varying impacts of letters of recommendation on college admissions: Approximate balancing weights for subgroup effects in observational studies
Eli Ben-Michael, Avi Feller, Jesse Rothstein
In a pilot program during the 2016-17 admissions cycle, the University of California, Berkeley invited many applicants for freshman admission to submit letters of recommendation. W…
Synthetic Controls with Staggered Adoption
Eli Ben-Michael, Avi Feller, Jesse Rothstein
Staggered adoption of policies by different units at different times creates promising opportunities for observational causal inference. Estimation remains challenging, however, an…
The Augmented Synthetic Control Method
Eli Ben-Michael, Avi Feller, Jesse Rothstein
The synthetic control method (SCM) is a popular approach for estimating the impact of a treatment on a single unit in panel data settings. The "synthetic control" is a weighted ave…