
Wei Fu
@weifu1991
Assistant Prof @UofL | Health Economics | Causal Inference | Ph.D. in Economics @LehighU | Post-Doc @PennMedicine
ID: 790332288320040961
http://fu-wei.net 23-10-2016 23:21:16
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Hi #EconTwitter! Looking for a graduate #Econometrics course, covering lots of stuff, including model/moment selection in high dimensions? Check out these very enjoyable slides and notes by Francis DiTraglia Francis DiTraglia (Department of Economics, Oxford). Very cool material!


Grateful for my old time at Penn Neurodegeneration Genomics Center ๐งฌ being part of me; excited about my new journey at UofL Public Health


Hi #EconTwitter! Interested in the #econometrics of ๐๐๐ฎ๐ฌ๐๐ฅ ๐ข๐ง๐๐๐ซ๐๐ง๐๐? ๐ Here's a thread with some great lecture notes, slides, and books on this topic - freely available on the web - which I've happily tweeted about! ๐๐ Hope you'll find it useful!




Happy new year! Excited to announce that our textbook with Xavier, "Difference-in-Differences for Simple and Complex Natural Experiments", is under contract with Princeton University Press. Check out the "working textbook" version here! Comments welcome! papers.ssrn.com/sol3/papers.cfโฆ



Time to celebrate! โDID estimators of intertemporal effectsโ accepted at The Review of Economics and Statistics (REStat), and very very fast did_multiplegt_dyn Stata & R commands available from SSC & CRAN, thanks to Mรฉlitine Malรฉzieux Felix K. Diego Ciccia & Doulo! Celebratory thread! papers.ssrn.com/sol3/papers.cfโฆ


If you are interested in AI and Governments/Policy, here is the Lecture I gave at the AEA Journals Continuing Education program. aeaweb.org/webcasts/2024/โฆ AI is a data-intensive technology that can be used for automation and surveillance. What role for governments in each case?

Thrilled to announce that our paper has been conditionally accepted for publication in the Economic Journal (The Economic Journal). Looking forward to sharing the revised version, which presents new exciting findings on the types of care accessed post-vaccination, using HCUP data.


I haven't had a chance to read yet, but looks like Stefan wager wrote the causal inference book I've always wanted! web.stanford.edu/~swager/causalโฆ

