Nice write-up by Smith Brain Trust of my recent research on why firms speak up on social issues.

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) charlottecavaille.wordpress.com/published-pape…

Important work by my colleague Ronnie Lee, Reuben Hurst, & Justin Frake

Join us at the inaugural *Equitable Opportunity Conference* at Ross School of Business 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. tinyurl.com/UMRSB-EOC

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… papers.ssrn.com/sol3/papers.cf…

In this #APSRNewIssue article, Lisa Argyle & Mike Barber 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. ow.ly/9xwe50RIzQi

Find my co-authored paper "Are Firms Gerrymandered", forthcoming at American Political Science Review, in open-access pre-print online. In it we provide the first evidence that firms, not jut voters, are gerrymandered. #gerrymandering

How much data do you need to conduct an informative staggered diff-in-diff? In our new working paper Florian Hollenbach 🤷🏻‍♂️ 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/

Very interesting data on segregation by gender in the US workforce. In a working paper with Reuben Hurst and Justin Frake we use administrative data and find that gender segregation is about the same size as segregation by political partisanship. hq.ssrn.com/submissions/Ab…

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 (Nikolai M. Cook), and Anthony Heyes. A thread🧵

Nice writeup of my work with Ronnie Lee and Justin Frake in HBR:

Excited to share the first chapter of my dissertation, out at ASQ Journal: "Cultural Norms and the Gendered Impact of Entrepreneurship Policy in Mexico," joint with Peter Polhill, Shon R. Hiatt, and Dr. Ryan Coles. A quick thread... journals.sagepub.com/doi/10.1177/00…

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. 🙏 gofundme.com/f/help-matt-ch…

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

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.

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.

🎉 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.