Portrait of Brendan Chapuis

About

I am a PhD student in economics at Brown University, working in labor economics, applied econometrics, and applied macroeconomics. My current research studies how local labor markets respond to large plant closures and layoffs.

Before graduate school, I spent two years as a senior research assistant at the Federal Reserve Board of Governors. I graduated from Harvard College in 2022 with Highest Honors in Economics.

Research

Research in progress

Persistence, Spillovers, and Incidence of Local Job Loss: Evidence from Large Plant Closures

Uses WARN notices of closures with externally verified causes to estimate the persistence, multipliers, and resident versus commuter incidence of local job loss.

The Declining Price of Density: Sorting, the Density Gradient, and the Limits of the Remote Work Shock

Estimates the U.S. density wage premium in ACS microdata (2005–2023), adjusting for worker sorting, and tests whether remote work accelerated its decline.

Publications

Measuring Unemployment Risk

With John Coglianese. FEDS Notes, 2024.

We estimate each worker’s unemployment risk from CPS microdata using cross-validated gradient boosting, and show that these risk estimates made in advance line up with the unemployment patterns that follow.

Teaching

Brown University

Instructor, ECON 2020: Computational Methods for Economists

The required first-year PhD course covering R, data analysis, and reproducible workflows. I am redesigning half of the course around AI-assisted research, with an emphasis on verifying results and keeping them reproducible.

Spring 2027

Howard University

Teaching Assistant, Econ 181: Exploratory Data Analysis with R

Fall 2023

Projects

Hivewire

Co-founder, 2025–present

Hivewire is an LLM-powered news platform. I built the LLM- and embedding-driven pipeline that clusters thousands of daily news articles into deduplicated stories.

WARN Notice Register

Open data project, 2026

I built a register of about 92,700 source-linked WARN layoff notices from 48 state agencies (1989–present), with a daily scraping pipeline, a public site, and a seasonally adjusted layoff index based on the dynamic factor model of Krolikowski and Lunsford (2024).

Background

Brown University

PhD in Economics (expected 2029); MA in Economics (2026)

Fields: labor economics, applied econometrics, and applied macroeconomics. Trainee at the Population Studies and Training Center.

2024–present

Federal Reserve Board of Governors

Senior Research Assistant, Labor Markets Section

I conducted quantitative research on U.S. labor-market dynamics using large-scale microdata and macro time series, contributed analysis to the pre-FOMC Nonfinancial Briefing, and maintained data pipelines for the Board’s internal forecasts.

2022–2024

Harvard College

BA in Economics, minor in Government

Graduated with Highest Honors in Economics and received the Harris Prize for the best senior honors thesis.

2018–2022

Honors

St. Gallen Symposium Global Essay Competition

Top 100

2025