Nick HK @nickchk
Econ prof @SeattleU. Book The Effect https://t.co/3F41M6EzEb out now! Check my pinned thread for all my projects. Substack https://t.co/YYrIUc8JPC nickchk.com Joined October 2010-
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Nick HK retweeted
🎙️ Our next episode is out! Analyzing the analysts: reproducibility with Nick Huntington-Klein! @nickchk and @EpiEllie chat about the variation seen when different analysts try to answer the same research question using the same data! The answer may (or may not 😂) surprise you!
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"work smarter, not harder" is just irrational thinking. any economist knows that working smarter increases your marginal product which is the exact case in which you'd want to also be working harder
New post today: should we expect that the return to a college *degree* (as opposed to a college *education*) is dropping in recent years? Has it been long enough that we can even check? Let's give it a lil try. open.substack.com/pub/nickchk/p/…
Khoa Vu @KhoaVuUmn
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Jeffrey Wooldridge @jmwooldridge
80K Followers 1K Following University Distinguished Professor of Economics, Michigan State University. Econometrician and textbook author. Two dogs, one rabbit, two fish, and N + 2 cats.
Peter Hull @instrumenthull
43K Followers 3K Following Professor @Brown_Economics, studying applied econometrics, discrimination, education, and healthcare. Editor @restatjournal, affiliate @nberpubs. I like IV.
Paul Goldsmith-Pinkha.. @paulgp
51K Followers 2K Following @YaleSOM professor & Bulls fan. I study consumer finance, and econometrics is a big part of my research identity. @sgil1122’s life-partner. He/him/his
Jennifer Doleac @jenniferdoleac
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early modern boy-actr.. @economeager
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Daniel Millimet 🇺�.. @dlmillimet
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Johannes Haushofer @jhaushofer
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Matheus Facure Alves @MatheusFacure
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Javier Martín Román @javmartinroman
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Economics Job Market .. @PhDEconUSA
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Alessandro Sellitto @ASellitto_
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Daniel Millimet 🇺�.. @dlmillimet
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AEA Journals @AEAjournals
80K Followers 4 Following The American Economic Association is a non-profit, non-partisan, scholarly association dedicated to the discussion and publication of economics research.
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I understand how the approach works mechanistically, and I've implemented Bayesian interrupted time series causalpy.readthedocs.io/en/latest/note…. I just don't quite grok how the DAG justifies that approach. Any explanations or pointers to other DAG-based explanations much appreciated.
Some help from causal / DAG twitter please? Here's a DAG for event studies (aka interrupted time series). I love The Effect by @nickchk but I'm just not quite grasping how the DAG provides insights to estimate treatment -> outcome (see theeffectbook.net/ch-EventStudie…)
PS Everyone should buy a hard copy of the book
@michael_wiebe @restatjournal @marcfbellemare This one is great
@nickchk Opera is closed source and owned by a Chinese billionaire, so make of that what you will. I'd sooner just use Chromium + extensions.
@nickchk Same story, old opera user, then lost, then chrome, then Brave. Now on Opera again since about a year ago, it's really nice, based on chrome, fast, nice features, all websites work, 100/100.
@nickchk also, it has a quite satisfying build-in adblocker (not the best, though)
@nickchk I like its simplistic interface, it is fast and secure, it supports chome addons (since it is based on chromium), it has nice tab management capabilities
like pediatricians can make your baby sleep lol
@nickchk I switched to vivaldi. It may seems more confusing sometimes, but for me it is much better than both brave and opera
@jasonacollins @bryan_caplan Also, what do you make of this by @nickchk? link.springer.com/article/10.100…
@nickchk I have a good feeling you’re an expert here
@BarbaraBiasi @dlmillimet I recommend as a starting point for causal inference the excellent two books: 1)causal inference: the mixtape by @causalinf and the effect by @nickchk. They are both open online.
Hey DAG/causal inference friends, why isn’t the X->Y effect (potentially) biased in this scenario? X is caused by U, which is unmeasured. So isn’t the X->Y effect actually determined at least in part to U?
@nickchk @stephenjwild These madlads actually cited The Inebriati sketch 😂😂😂
@nickchk This whole article is hilarious. The authors did a great job writing it in the style of an academic paper
@nickchk Unfortunately statistical methods papers can encourage this kind of thinking, because it's always more interesting (when you're developing a new method) to focus on the situations where commonly-used methods DON'T work well.
In an RCT are pre-experimental differences in your group ever relevant, beyond the fact that you can improve the precision of the simple difference ATE with pre-exp data?
This started a civil war in my chess chat between the cynics and the believers
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