Economics postdoc researching info frictions + ext validity in technology adoption at @HarvardHBS. PhD @NorthwesternU. All opinions are wrong, some are useful.
Joined November 2008
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Running the same paper for review via @RefineDotInk vs Claude only makes the AI referee issue more annoying. Refine doesn't hallucinate non-issues into R&R. Perhaps instead of journals using @RefineDotInk at end of process, use it before sent to referees? CC @ben_golub
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It would be nice to, alongside a paper, submit a Refine report and just say "here is me addressing each technical point. let's now converge to referees judging responses and otherwise focusing on non-technical issues."
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Related to this point nitter.gq/evavivalt/status/21216…
Maybe in the future alongside a paper submission I'll include a repo with an AI-written FAQ that points out why some things flagged by LLMs are not actually issues, so the reviewer's LLM has that.
Like an AI online appendix that dispenses with the false positives while keeping the draft clean and human-readable.
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10% is lower than we think as a cap. Treasury rates are low not only bc lack credit risk but also liquidity and other premia. The more relevant benchmark for opportunity cost of investment is maybe zero beta rate of @KurlatPablo et al. Frequently >10%! tinyurl.com/dt3ayujy
Let’s cap credit card rates at 10%. Take action on affordable housing. Protect rural hospitals. End price gouging.
Democrats have the bills ready.
@SenWarren says now it’s up to Trump to work with us and get things done.
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New WP w/ @orgRem & @TarunKhannaHBS: arxiv.org/abs/2611.01226
Often, when we discuss value of platforms, we talk about pooling data across users improving each user's prediction. But is there still an externality when the best model looks incredibly different across users? 1/N
@VC31415 Getting two AutoDML working papers applied to labor in one day! Glad to see this method taking off. nitter.gq/arpitrage/status/21176…
Amazing new paper by Chetty and the Opp Insights team — digital twins can recover causal effects
They validate the digital twins (ie rich ML applied to generate counterfactuals from lots of covariates) with RCTs, allowing for scalable program evaluation
opportunityinsights.org/wp-c…
Platforms present a different path. Instead of one central model, imagine everyone using a common platform to develop their own model, capturing their own preferences. A central computer could then use these models, paired with constraints, to compute optimal allocations. 21/n
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