Zach Shahn
@zshahn.bsky.social
Causal inference, assistant professor at CUNY SPH. All likes are endorsements, but maybe by my 3 year old who stole my phone.
We (Audrey Renson and @pausalz.bsky.social) Just updated this paper on interference in time-varying DiD settings from a while ago: arxiv.org/abs/2405.11781. Still see papers coming out regularly about problems that I'm pretty sure this solves...
Structural Nested Mean Models Under Parallel Trends with Interference
Despite the common occurrence of interference in Difference-in-Differences (DiD) applications, standard DiD methods rely on an assumption that interference is absent, and comparatively little work has...
arxiv.org
November 3, 2025 at 3:50 PM
We (Audrey Renson and @pausalz.bsky.social) Just updated this paper on interference in time-varying DiD settings from a while ago: arxiv.org/abs/2405.11781. Still see papers coming out regularly about problems that I'm pretty sure this solves...
Is there any movement to get them to stop showing players’ postseason stats on tv? I wanna know how good they are, not how lucky they were the past few games
October 29, 2025 at 2:22 AM
Is there any movement to get them to stop showing players’ postseason stats on tv? I wanna know how good they are, not how lucky they were the past few games
I think this paper we just put out is kind of interesting (arxiv.org/abs/2509.20506)! Wu and Mao (arxiv.org/abs/2504.20470) cleverly showed that if you have multiple studies and 'study' is associated with Y(0) but not Y(1) given Y(0), you can identify the joint distribution of Y(0) and Y(1).
Identification and Estimation of Joint Potential Outcome Distributions from a Single Study
Most causal inference methods focus on estimating marginal average treatment effects, but many important causal estimands depend on the joint distribution of potential outcomes, including the probabil...
arxiv.org
October 16, 2025 at 2:43 AM
I think this paper we just put out is kind of interesting (arxiv.org/abs/2509.20506)! Wu and Mao (arxiv.org/abs/2504.20470) cleverly showed that if you have multiple studies and 'study' is associated with Y(0) but not Y(1) given Y(0), you can identify the joint distribution of Y(0) and Y(1).
For anyone who's interested in how deck chairs should be arranged on the Titanic, we have a short note on the assumptions/rationale underlying the use of parental longevity as a proxy outcome (increasingly common) in Mendelian Randomization: arxiv.org/pdf/2508.03431
arxiv.org
August 6, 2025 at 1:34 PM
For anyone who's interested in how deck chairs should be arranged on the Titanic, we have a short note on the assumptions/rationale underlying the use of parental longevity as a proxy outcome (increasingly common) in Mendelian Randomization: arxiv.org/pdf/2508.03431
Reposted by Zach Shahn
my first new episode of pretty good in seven years, now free to watch for everybody:
THE HISTORY OF SLIPPING ON BANANA PEELS
THE HISTORY OF SLIPPING ON BANANA PEELS
The history of slipping on banana peels | Pretty Good, episode 14
YouTube video by Secret Base
youtu.be
December 7, 2024 at 5:39 PM
my first new episode of pretty good in seven years, now free to watch for everybody:
THE HISTORY OF SLIPPING ON BANANA PEELS
THE HISTORY OF SLIPPING ON BANANA PEELS
Reposted by Zach Shahn
columbia revoking degrees is a real 'i told you so' moment for my anxiety dreams
March 14, 2025 at 12:52 PM
columbia revoking degrees is a real 'i told you so' moment for my anxiety dreams
Does statistics have any good synonyms for "biased" estimators...?
🚨BREAKING. From a program officer at the National Science Foundation, a list of keywords that can cause a grant to be pulled. I will be sharing screenshots of these keywords along with a decision tree. Please share widely. This is a crisis for academic freedom & science.
February 4, 2025 at 6:49 PM
Does statistics have any good synonyms for "biased" estimators...?
Feel like it might be good to weed out people dumb enough to believe he'd ever pay them?
BREAKING 🚨 🚨 🚨
President Donald Trump's administration is set to offer every single federal worker the chance to take a "deferred resignation" with a severance package of roughly eight months of pay and benefits.
www.nbcnews.com/politics/whi...
President Donald Trump's administration is set to offer every single federal worker the chance to take a "deferred resignation" with a severance package of roughly eight months of pay and benefits.
www.nbcnews.com/politics/whi...
Trump administration will offer all 2 million federal workers a buyout to resign
An email is set to go out to federal workers beginning Tuesday.
www.nbcnews.com
January 28, 2025 at 10:50 PM
Feel like it might be good to weed out people dumb enough to believe he'd ever pay them?