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Julian Reif
@JulianReif
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Economist at Gies College of Business, University of Illinois | Research Associate, NBER | Follow me on Bluesky @julianreif.bsky.social
Champaign, Illinois
Joined June 2011
My paper with @TDeryugina @GarthHeutel @davidmolitor and Miller estimating the effect of daily air pollution on health is now forthcoming at AER. Here's a quick recap, including results of a new machine learning exercise with >40 billion observations.
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@femonomics @crampell @talmonsmith @bencasselman @mattyglesias Many of us are active at Bluesky, including journalists such as @COdendahl
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RT @davidmolitor: 🚨New Paper Alert🚨 Financial incentives are often used to promote healthy behavior, but do they create long-lasting habit…
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RT @ZelenskyyUa: Okhmatdyt Children's Hospital in Kyiv. One of the most important CHILDREN’S hospitals not only in Ukraine, but also in Eur…
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@otis_reid @Afinetheorem We try to validate our structural model, calibrated using short-run estimates, by comparing its medium-run predictions to quasi-experimental estimates Todd and Wolpin (2023) have nice discussion on this topic:
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I am not sure what your specific Dropbox sync issues are (I've encountered many over the years!), but two things I do are: 1. Avoid overwriting small files quickly, since Dropbox locks the file during syncing which can kill your script. In these cases, using a tempfile (for Stata) is typically a better option. 2. If there are gargantuan input or intermediate files in the analysis, I store them somewhere outside Dropbox. I have separate folders (`$DATA` and `$TMP`) for those purposes. The downside is that those folders are no longer synced across computers. However, these are usually for analyses that can only be run on a large desktop anyway, so I don't mind. If I'm running on AWS, I omit large intermediate files from the `aws sync` command and keep them stored only in the S3 bucket.
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@toniwhited Thanks! I use the same structure with big data on AWS, where I find standardization even more imperative. I agree with you that replication standards need flexibility when analysis takes weeks/months to run. That remains to be worked out from what I can tell.
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@citizeness Data for my driving and mortality RD paper are available online if you're interested:
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@GaborBekes @ProfDiegoPuga @korenmiklos @larsvil @Stata Given that Stata programs are small in size and (generally) cross-platform, in my opinion it's best to always just store a copy in your replication folder.
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RT @nberpubs: A new method proposes to assess the long-term mortality impacts of air pollution by using short-run quasi-experimental estima…
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