Reuben Hurst

Assistant Professor at @SmithSchool via @UMich, @LSEnews, and @Dartmouth.

[Max Kagan @max_kagan]

Just now noticing a very interesting write-up by @ryanburge which makes use of our #VRscores data from the Politics at Work project with @JustinFrake @ReubenHurst2. Tremendously exciting to see how people are making use of the data to uncover new insights!

[Jed Kolko @JedKolko]

Republicans are more upbeat about the economy than Democrats are, but the industries Republicans are more likely to work in are losing jobs.

[Max Kagan @max_kagan]

🎉 Tremendously excited to announce the release of VRscores—an open-source dataset for researchers and journalists interested in studying the political lean of different employers.

[John B. Holbein @JohnHolbein1]

Wow. This is wild.

Researchers from Columbia, Michigan, and Maryland released VRscores.

VRscores is a dataset linking voter registrations to online worker profiles that allow you to measure the partisan leanings of U.S. employers.

24.5M workers. 500k employers. 2012–2024.

[John B. Holbein @JohnHolbein1]

Wow! This project looks amazing.

In it, three scientists at Columbia, Michigan, and Maryland introduce VRscores: a measure of the partisan leanings of employers in the United States.

The dataset is constructed by linking U.S. voter registrations to online worker profiles.

The dataset covers the 2012-2022 period. VRscores capture the political affiliations of 21.8 million workers across 2.6 million employers.

Wow!

[Max Kagan @max_kagan]

1/ Excited to share our new paper on measuring workforce politics with @ReubenHurst2
and @JustinFrake , where we measure the partisan composition (Democrats and Republicans) for over 3.5 million companies and nearly 28 million workers.

[Evan Starr @evanpstarr]

My cousin’s artisan wood furniture business in Asheville, NC was completely destroyed by Hurricane Helene.

Please consider donating to help him rebuild, or read his story and share with others. 🙏

https://t.co/Cby1TnUyHZ

[Reuben Hurst @ReubenHurst2]

@qianwang37 Thanks Qian - Super cool to hear about your work as well!

[Reuben Hurst @ReubenHurst2]

@afoley89 @FamBizSuccess @CornellMBA @SmithSchool Thanks for having me!

[Reuben Hurst @ReubenHurst2]

Nice writeup of my work with Ronnie Lee and @JustinFrake in HBR:

[Amy Diehl, Ph.D. @amydiehl]

Study (N=8K) finds job ads that emphasize a flat hierarchy had 28% fewer women applicants. Women perceived flat hierarchies as boys' clubs, challenging to fit in, higher workloads & fewer opportunities for career advancement. @ReubenHurst2 @JustinFrake
https://t.co/aapkUu0xWK

[Jon Hartley @Jon_Hartley_]

Excited to see our paper published in JPE Micro! “Do Pre-Registration and Pre-Analysis Plans Reduce p-Hacking and Publication Bias?: Evidence from 15,992 Test Statistics and Suggestions for Improvement” w/ Abel Brodeur, Nikolai Cook (@nikolaimcook), and Anthony Heyes. A thread🧵

[Max Kagan @max_kagan]

Very interesting data on segregation by gender in the US workforce.

In a working paper with @ReubenHurst2 and @JustinFrake we use administrative data and find that gender segregation is about the same size as segregation by political partisanship.

https://t.co/66sm1bBPEm

[Benjamin Egerod @BCEgerod]

How much data do you need to conduct an informative staggered diff-in-diff? In our new working paper @fhollenbach and I simulate the power of #DiD estimators, and find that you might need *a lot*, even to detect large effects. We also provide suggestions for improving power 1/

[Brian Kelleher Richter @briankrichter]

Find my co-authored paper "Are Firms Gerrymandered", forthcoming at @apsrjournal, in open-access pre-print online.

In it we provide the first evidence that firms, not jut voters, are gerrymandered.

#gerrymandering

[American Political Science Review @apsrjournal]

In this #APSRNewIssue article, @lpargyle & @mbarber83 introduce a new machine learning influenced method to correct for misclassification in Bayesian Improved Surname Geocoding (BISG), reducing the misclassification error by up to 50 percent.

https://t.co/eAKXaqyIjF

[Max Kagan @max_kagan]

Polarization is a rising issue. We worry about political sorting in social media and in real life. But what about at work? Is work a place where we are exposed to partisan diversity, or just another echo chamber?
Read on for a 🧵about our working paper…

https://t.co/cyhpEpQgae

[Chris Rider (chrisrider.bsky.social) @ProfChrisRider]

Join us at the inaugural *Equitable Opportunity Conference* at @MichiganRoss on June 6-7, 2024.

Theme: Organizations shape socioeconomic opportunities in ways that more/less align w/notions of fairness & justice.

Submission/registration link below.
https://t.co/dt2NayvAL8

[Zeke Hernandez @profzeke]

Important work by my colleague Ronnie Lee, @ReubenHurst2, & @JustinFrake

[Charlotte Cavaille @CharlotteCavai1]

People who favor a policy do not always care about it to the same degree. In this paper, forthcoming at PSRM, we examine alternative ways of measuring differences in "preference intensity" (1/5)
https://t.co/xoBHtlSIwa

[Reuben Hurst @ReubenHurst2]

Nice write-up by @SmithBrainTrust of my recent research on why firms speak up on social issues.

[Smith Brain Trust @SmithBrainTrust]

.@SmithSchool’s Reuben Hurst examines 2017’s ‘Unite the Right’ rally in Charlottesville as stigmatizing local employers and prompting a tactical shift in recruiting: https://t.co/xEZOaA0vw4