Jonathan Roth

Jonathan Roth is an Associate Professor of Economics at Brown University, affiliated with the Population Studies and Training Center (PSTC) since 2023. His research bridges econometrics, labor economics, and algorithmic fairness, with a focus on causal inference methodologies.

• Education: PhD in Economics (2020, Harvard University), BA summa cum laude in Mathematics and Economics (University of Pennsylvania)

Roth's work addresses fundamental issues in difference-in-differences (DiD) methods, including parallel trends sensitivity, event-study interpretation, and design-based uncertainty frameworks. He develops tools for mediation analysis and bias correction in quasi-experimental settings.

His most recent publications examine:

• 2024: Mediation testing with instrumental variables
• 2024: DiD event-study interpretation discrepancies
• 2024: Design-based quasi-experimental uncertainty
• 2024: Bayesian approaches to parallel trends
• 2023: Efficient staggered treatment estimation

Scientific recognition includes:

• 2025 Sloan Research Fellowship
• David A. Wells Prize for best Harvard dissertation

He has secured research funding from the National Science Foundation (NSF) and National Institutes of Health (NIH), with methodological contributions implemented in R and Stata packages used for empirical work.