Mostly on impact evaluation and poverty in the US. Caution: economist on Zoom may be taller than he appears.

University of Notre Dame
Joined January 2016
David Phillips retweeted
Replying to @ccatalini
Because part of the reference letter is costly signaling - that a busy person is taking time out to think deeply about why they recommend a particular student. That signal is now gone - dare I say even negative. Second - I’m just tired of Claude speak. Can spot it a mile away and so the letter is less distinguished from all others that sound the same. This is important enough that I’m paying attention to substance - but the tradeoffs are not worth it IMO! Letter writer is senior faculty and native English speaker so many traditional reasons why this would be ok also don’t apply.
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David Phillips retweeted
A signature feature of academic AI writing is (currently) that it is has bad judgment on what is important and what is not important, even refine.ink. This is one of the most damaging AI "tells", b/c it reflects bad judgment on the part of the author as well. 1/
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This whole essay is very good. Live your values.
About half the kids in DC — including lots of children of parents who work in progressive politics for people who organizations that are relentlessly anti-charter — attend charter schools. slowboring.com/p/live-your-v…
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David Phillips retweeted
Please enjoy! Writeup: dropbox.com/scl/fi/ago5vsi89… Repo: github.com/peterdhull/twfe-r… Planning to expand to other journals soon
Why has no one done the massive AI-assisted "how much do negative weights really matter for difference-in-difference" review paper yet?
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David Phillips retweeted
45 NBER WPs this week. Are we seeing the AI inflection in Econ?
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David Phillips retweeted
This afternoon in a senate office. Angry Staffer: You told me he went to a Hawks game. Chat GPT: My search indicated he went to a Hawks game. AS: No, he went to a Hawkeyes game. Chat GPT: You are right. I should have caught that earlier. Thank you for pointing that out.
A phenomenal moment in the Senate. Eric Schmitt, R-Mo., claims he has evidence Jack Smith went to a HAWKS game in Atlanta. Smith denies it. Schmitt declares he has busted Jack Smith for perjury. Smith, vexed, says he went to HAWKEYES game in Maryland. Watch the whole thing:
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David Phillips retweeted
Our comment on “Raising Health Awareness in Rural Communities” is finally published in REStat (MIT Press). But the retraction we had been told was coming never happened. Can lawyers derail a retraction? This case raises that uncomfortable question. 🧵
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David Phillips retweeted
Nihar Shah did a heroic experiment for TMLR: he spent 20-25 hours over two weeks interviewing authors of seemingly low-quality submissions about their own papers. He confirmed what we all suspected: people submitting these papers have *no idea* what is going on in them.
TMLR has faced a deluge of submissions, necessitating stricter desk rejection policies due to limited reviewer capacity Co-EiC Nihar Shah reached out to authors of 10 papers slated for desk reject. Could they answer questions about their *own* submission? medium.com/@TmlrOrg/asking-a…
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Indiana was the only state in the country that did not experience above-normal temperatures this summer
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David Phillips retweeted
Not a fan of jersey ads, but at least they’re extremely on brand in this Wisconsin (Culver’s)-Notre Dame (SoFi) game
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Interesting paper from on bias, statistical power, and researcher degrees of freedom in JEL. We dramatically underemphasize the importance of statistical power in applied microeconomics. But one big caveat: this is mostly about quasi-exper methods, RCTs have some help to offer.
Excited to share a new paper with @jfischman, just accepted at JEL. We argue that empirical research tends to be biased and overconfident due to a weakness in the dominant econometric framework: insufficient attention paid to humans “in the loop” with the research process. 1/
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2. We expect researchers to be able to describe the ideal experiment that their quasi design approximates. But we only ask them to discuss bias. We should expect people to quantify how the *power* of their quasi design compares to the ideal RCT.
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I’m sharing this in case it helps someone make a more informed decision about getting LASIK eye surgery - my husband had LASIK 18 months ago, and it has been a total nightmare ever since…🧵
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David Phillips retweeted
A quick 🧵 on my new favorite (mostly AI-proof) assignment for my 300-level health econ class... This should work well for basically any upper-level undergraduate field course.
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David Phillips retweeted
Child Protection Services workers get 4 million calls per year and must quickly decide which ones to investigate. Giving them an algorithm to help them choose lowered hospitalizations (i.e. for abuse) by *21 percent*. 1/
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