Best of #econtwitter - Week of October 17, 2021 [2/2]

Oct 18, 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.

This is part two of two, this week. Part one is here.

Paper summary threads

Lucy Sorensen@lucy_sorensen

New @AnnenbergInst working paper posted! edworkingpapers.com/ai21-476 We use a fuzzy RD design with national panel school-level data to ask: What effect do police in schools (#SROs) have on school environments and student outcomes? 🧵1/n

10:43 AM · Oct 13, 2021

59 Reposts · 154 Likes

Alex MacKay@_amackay

New working paper: @HendrikDoepper, @NateHMiller, and @JoelStiebale, and I examine whether product-level markups are increasing over time. We estimate IO-style models with flexible consumer preferences, allowing us to look at potential drivers of change in both supply and demand.

12:56 PM · Oct 14, 2021

50 Reposts · 171 Likes

Andreas R. Kostol@AndreasKostol

“Labor Supply Responses to Learning the Tax and Benefit Schedule” has been in my care for six years. It has found a new home in AER’s Nov issue. The idea was born in 2014: What % of labor supply mistakes can be explained by people lacking information about their incentives? 🧵1/8

3:57 PM · Oct 14, 2021

18 Reposts · 105 Likes

Nick Timiraos@NickTimiraos

The complexity of the language in FOMC statements at the end of Bernanke's tenure required a reading grade level of 20 to 21, equal to a doctoral degree level of education It has averaged between grades 16-17 thus far under Powell, equivalent to a BA or MA federalreserve.gov/econres/notes/…

7:29 PM · Oct 12, 2021

30 Reposts · 131 Likes

Journal of Public Economics@JPubEcon

Within a precinct, individuals who move to blocks where people vote more themselves vote more, by 0.5% for every 10% block-turnout difference. Findings based on 12 million voters / 1 million movers in Mexico.

7:44 PM · Oct 13, 2021

Levi Boxell@levi_boxell

Using more than 1 million images scraped from news websites, I apply machine learning tools to detect the faces of politicians and measure the emotions expressed on their faces. I find:

10:24 PM · Oct 13, 2021

4 Likes

Jillian Jordan@Jill_Jord

My paper w/Maryam Kouchaki, “Virtuous Victims”, is out today in @ScienceAdvances! We show that people often see victims of wrongdoing as morally virtuous—not because of anything that they have done, but simply because others have mistreated them. science.org/doi/10.1126/sc… 🧵👇

6:16 PM · Oct 13, 2021

93 Reposts · 329 Likes

Daniel Bennett@bennett_econ

We study the impact of offering repeated HIV testing (every 4 months for 2+ years) to women + partners in rural Malawi. Testing increases dramatically and people perceive their partners as safer. Three key findings:

1:23 PM · Oct 14, 2021

3 Likes

Florian Ederer@florianederer

The in-game performance of professional soccer players who had a recent COVID-19 infection, drops by 6%. Performance is still 5% lower 6 months later with notable negative spillovers on team performance. Cool paper by @schmal_w & @jjreade: dice.hhu.de/fileadmin/reda…

9:27 PM · Oct 14, 2021

416 Reposts · 1.01K Likes

Arpit Gupta@arpitrage

Neat paper by @cqcampos and Caitlin Kearns: LA implemented "Zones of Choice" — areas of school market choice with more options. Improved competition led to better outcomes, which parents value. Not just selection. dropbox.com/s/kf8j3g1yeau2…

5:06 PM · Oct 16, 2021

24 Reposts · 90 Likes

More: yield curve inversion, video games and well-being, fiscal stimulus something, Airbnb review reciprocity, exchange rate classification, foreign UST demand, opioids bad for municipal finances, dowry law

Public goods

Ben Thompson@tbenthompson

I'm super excited to announce the release of glum (github.com/Quantco/glum/), a Python-first generalized linear modeling library. We focused a lot on correctness, performance and a powerful range of features. glum gets a 3-10x (or more) speed up over glmnet. It's also fun to use!