I am an Economics PhD candidate at the University of Virginia with interests in macroeconomics and econometrics.

I’m currently working on questions related to monetary policy, expectation formation, and AI. I am also thinking about ways to apply microeconometric methods and deep learning in macro settings.

I will be spending the summer at the Federal Reserve Board as a Dissertation Fellow and will be on the 2026-2027 job market.

Paul Bousquet

University of Virginia

Research

Job Market Paper

Why Do Central Banks Surprise the Public? Draft available upon request

(companion paper) : Policy Analysis Without Arbitrary Policy

Working Papers

Minimal Assumptions to Uncover Macro Dynamics with “Shocks” Updated draft coming soon

Old Draft | Old Slides | GitHub Repo | Online Appendix

Where Do Price and Output Puzzles Come From?

Public Goods

Code

Macro models — extensions and replications (expanding list)
Stata implementation of Smooth Local Projections
Monetary Policy Shock Data and Replication
- Also see data consolidated by the USMPD, Miguel Acosta, Marek Jarocinski, and Johnathan Adams

Notes

Macro
- Log-linearization
- Dynamic Programming
Real Analysis
Econometrics (work in progress)
- Replications from Matt Masten’s 2nd Year PhD Course
- Slides on Kolesár and Plagborg-Møller (2025)
- Some Pleasent OLS Arithmetic

Some Public Good Collections

Gregor Boehl (see “useful stuff”)
Sangmin Oh (also goods he made himself)
Lu Han (lots of AI tool resources)
Great notes and codes from David Murakami and Ding Dong