Best of #econtwitter - Week of June 20, 2021
Welcome readers old and new to this week’s edition of Best of Econtwitter. Thanks to those sharing suggestions, over email or on Twitter @just_economics.
Paper summary threads
In the June issue of @JEEA_News: "Pricing Under Fairness Concerns" (w/ Erik Eyster & @KristofMadaras1).
The paper explains why people hate inflation, and how these feelings produce monetary nonneutrality -- in the short run & long run.
Open access at
Live-tweeting the live-tweeter-in-chief @arpitrage. PE ownership in the newspaper industry 5% --> 23% over the sample period.
Our new @ScienceMagazine paper shows that biomedical patents invented by all-female teams are 35% more likely to focus on women's health than all-male teams. Only 4% of these patents are from all-female teams suggesting there are 1,000s of missing female-focused inventions.
🧵👇
📜New preprint📜
Deplatforming the far-right: An analysis of #YouTube and BitChute
We @JonasKaiser show that deplatforming is effective in minimizing the reach of far-right channels like Alex Jones & cannot be compensated on alternative platforms🧵
papers.ssrn.com/sol3/papers.cf…
Following individual students as they switch to new facilities, we find that both math and language achievement rise rapidly after a transitory drop in the first year at the new school.
How big is cyber risk at the firm level?
Paper by @RustamJamilov @helene_rey & Tahoun
nber.org/papers/w28906?… #econtwitter
My friend & @CamEcon PhD colleague @OchsAdrian's 📜
𝗔 𝗡𝗲𝘄 𝗠𝗼𝗻𝗲𝘁𝗮𝗿𝘆 𝗣𝗼𝗹𝗶𝗰𝘆 𝗦𝗵𝗼𝗰𝗸 𝘄𝗶𝘁𝗵 𝗧𝗲𝘅𝘁 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀
is now out as a @CambridgeINET working paper!
🔗bit.ly/3wlwqsR
👇 mini-🧵
Strict voter id laws from 2008–18 had no effect on turnout, and no differential effect favoring Rs.
The CI leaves room for small effects, but the point estimates aren't even negative. I found this surprising given the reaction to recent R-state laws.
academic.oup.com/qje/advance-ar…
@paulnovosad poli sci twitter has been having this argument for years, we have same finding in studies with strongest designs (this is the parallel econ publishing thing). various arguments:
-campaigns divert resources to offset counterfactual harmful effects (a cost)
-still normatively bad
New w/ @j_kalla: "Voter outreach campaigns can reduce affective polarization among implementing political activists" osf.io/5yahr
We surveyed canvassers who implemented 3 canvassing programs before & after. We find participating decreased their affective polarization.
🚨In 2012, I began a partnership w/ Boston Schools to study:
Can teacher evaluation systems produce high-quality feedback?
Answer: It is possible, but I'm not optimistic
WP w/ @_AlvinChristian:
edworkingpapers.com/ai19-62
Paper just accepted at @AERA_EdResearch's AERJ!
🧵 1/n
Public goods
Resources I’ve compiled for undergrad thesis writers: thelittledataset.com/undergrad-thes…
All based on FAQs from working w/ undergrad writers. Lots sourced from this corner of the internet, so thx #EconTwitter
[other suggestions from working w/ undergrad thesis writers? *replies welcome*]
A key strength of the project, compared to the awesome @WIL_inequality, which inspired us, is the longitudinal dimension and ability to compute cross-sectional and panel statistics by group (age, education, gender, etc...). Open-access database with thousand of stats coming soon!
Fatih Guvenen @fatihguvenen
Do you use data from the U.S. Census or the American Community Survey? Please respond to this brief survey from @ipums and tell us how your work could be affected by new Census Bureau disclosure control methods. This is important, and we need your help!umn.qualtrics.com/jfe/form/SV_3r…
Steven Ruggles @HistDem
Interesting discussions
Is there a good theory — even a common sense one I’m too tired to see right now — for why so many economists struggle to publish their JMP, even while they’re off to a strong publishing record? I also wonder if it’s true or if it’s all selection and people publish them as much
@causalinf they tend to be bloated; you tend to focus on your co-authored projects to not let down co-authors ("cobblers kids go w/o shoes"); single-authored papers are worse & get rejected more; you're burned out w/ it
Last father's day I decided to make an animated graph, and I'm doing the same for this one (one day early).
Methods used in NBER working papers over time, in that neato bar-graph-race format. Data probably incomplete in the late 00s
3rd+ year PhD students: have a website! Formatting doesn't matter. Google sites or your dept website is fine; github if you're showing off.
- Include your CV + email
- List your fields/interests + any ongoing projects
- Post PDFs of recent publications + good working papers
How often do "old" results get updated to the new setting? How much would be optimal for our field?
E.g. I'm thinking of @KerwinKCharles and Hurst's great ReStat using data in the 90s: direct.mit.edu/rest/article/8…
How/did this result change in the 2000s + 2010s?