Starting to look like I might not be able to work at Harvard anymore due to recent funding cuts. If you know of any open statistical consulting positions that support remote work or are NYC-based, please reach out! 😅
🧵New survey paper: "Inference with Few Treated Units"
Luis Alvarez, Bruno Ferman and Kaspar Wüthrich
Tired of referees saying your standard errors are wrong?
This survey will help you understand if you really have a problem — and, if so, how to fix it!
Figure 1. Trends in Biannual US Infant Mortality Rates, 2012-2023
🧵 US states that implemented abortion bans saw higher than expected infant mortality rates, with larger increases among Black infants and those in southern states, according to this analysis of US national vital statistics data from 2012–2023.
ja.ma/4aVchPn
#MedSky
I'm very proud of this work that wouldn't have happened without a wonderful collaborative team. On the stats side, it involved a novel Bayesian hierarchical panel data modeling for inferring heterogenous effects. We're planning on a methods paper related to the tools we developed.
Our two papers on abortion bans and fertility/infant mortality are now out.
In 14 states w/ abortion bans, fertility increased 1.7% and infant mortality increased 6%.
Key takeaway is that these impacts were disproportionately felt among those w/ greatest structural disadvantages.
Links below.
(Also, this was my first ever bluesky post. Hope I did it right! And thanks to @amfranks.bsky.social for getting me on here.)
Great thread. Excited to hear what’s next.
With @darbour.bsky.social @amfranks.bsky.social (and Ben-Michael) we also thought a lot about the time component and proposed a Bayes model that’s similar to Guido’s DWCP. Love to see more attention to these issues!
projecteuclid.org/journals/ann...