New paper (w/ @dennisfeehan) on 'new' data sources for demographic research and the shared cross-cutting methodological challenges they present:
https://t.co/f1YoDirkxM
My new article on the “Pig in the Python” argues that the demand for young workers will grow dramatically over the coming decades, likely leading to rising wages, stronger unions, and lower inequality. 1/28
Here is some small-N evidence from Princeton that PhD student research matters in the form of a news post reporting that two recent PhD graduates published part of their dissertations in the field’s top journal (ok self-serving b/c one is me 🙂): https://t.co/gM1rEDj9Fo
3/3
Academia in a nutshell:
We are status-seeking chimps searching for status through a tiny number of journals. This is not particularly healthy nor efficient.
New in PDR! Happy to see this one out. (Joint w/ @n_seltzer)
Structured Inequality, Uncertain Lifespans: Demographic Perspectives on Predicting Individual-Level Longevity
https://t.co/qEUricLmCU
4/ Academics hold AI to absurd double standards. We criticize AI hallucinations while tolerating p-hacking, non-replicable findings, and data errors in peer-reviewed work. Very few published papers are genuinely useful. AI is held to a standard we never applied to ourselves.
Today's DUPRI seminar features Jennifer Montez, Professor of Sociology & Director of the Center for Aging and Policy Studies at Syracuse University. She is presenting "Why have mortality rates become increasingly unequal across U.S. counties?"
Anyone still on here? I'm hiring a second postdoc to work on my MaMo project... 2 years, start flexible in the next 12 months.
Formal call out shortly, email me to know when the listing goes live.
Just out in @ReadDemography: We leverage variation in applications to ICE 287(g) agreements 2000-2020 to show that #deportations and immigration enforcement is causally linked to increases in Latino-White segregation.
OPEN ACCESS PDF
https://t.co/GSOyjA6PQm
Need some holiday reading? Want to know how to estimate extreme weather impacts on demographic outcomes when data IV and O are at different spatial scales?
My latest with Nick and Gerard in @ReadDemography
https://t.co/e33mZ65BuO
Causality and prediction are not two distinct concepts
Causal inference is fundamentally a prediction problem: you’re predicting the counterfactual
Randomistas found a few clever ways to do causality without prediction. But if you solve prediction; you get causality for free
I am extremely happy to share. Just out in @pnas.org:
“Global subnational estimates of migration of scientists reveal large disparities in internal and international flows”
Open Access: https://t.co/yAuXCYn3Ro
w/ @danko_maciej@XinyiZhao16@ezagheni@MPIDRnews#PAA2025