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 methodology for assessing sensitivity to identification assumptions and for solving to macroeconomic models with deep learning.

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

How Central Bank Announcements Affect Beliefs

(companion paper) : What is a Monetary Policy Shock?

(companion paper) : What Policy Surprise Reveal About the Policy Rule

Working Papers

Uncovering What Policy Effects Depend on Using “Shocks” Updated draft coming soon

Old Draft | Old Slides | GitHub Repo | Online Appendix

The Relevant Dimensions of Monetary Policy

Where Do Price and Output Puzzles Come From?

Work in Progress

Identifying Monetary Policy Effects Through the Dual Mandate

The News Response to Fed: A New Information Effect

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)
- Thread on Recent LP/VAR Literature
- Slides on Kolesár and Plagborg-Møller (2025)
- Replications from Matt Masten’s 2nd Year PhD Course
- 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