Senior Economist and Research Advisor 

Marina Azzimonti

Economist studying how politics and policy shape the economy. Creator of the Partisan Conflict Index and  author of Macroeconomics (OUP).

Short Bio

I am a Senior Economist and Research Advisor at the Federal Reserve Bank of Richmond and a Research Fellow at the CEPR. My research focuses on macroeconomics, political economy, and international finance, with an emphasis on questions that matter for policy, from sovereign debt and political conflict to tariffs and stablecoins.

A decade ago I created the Partisan Conflict Index, a monthly measure of political disagreement in the United States. Maintained by the Richmond Fed, the index is used by researchers, investors, and journalists to track political conflict.

More recently, I have studied the economic effects of tariffs and the implications of stablecoins for the international role of the dollar. I’m also the author of Macroeconomics (Oxford University Press, forthcoming), a graduate textbook on the dynamic models and computational tools used in modern macroeconomics. You can preview it here.

I also co-founded the Women in Macroeconomics Conference, which brings together leading and early-career researchers across the field each year.

My work has appeared in the American Economic Review, the Review of Economic Studies, the Journal of Economic Theory, and the Journal of Monetary Economics, among others. RePEc ranks me among the top 2% of economists worldwide over the past decade.

In this site you can find Insights for Policymakers and the Public, my Academic Research and Media coverage of my work, the Datasets I created, and information about the Conferences I organized.

News & Updates

Macroeconomics (Oxford University Press)

The graduate macro book I wanted as a student. We include modeling and analytical tools of macroeconomic analysis and then apply them to the main topics of interest within the field of macroeconomics.

Preview the chapters and materials in our website: https://phdmacrobook.org/

Pre-order it: https://lnkd.in/g4RQgwZe

Code and Data in GitHub (not all chapters yet): https://lnkd.in/gvEPRYDx

New Working Paper! Estimating Demand Shocks from Foot Traffic: A Big-Data Approach, with D. Wiczer and Y. Xuan

Read an Insight about this paper in the Richmond Fed spotlight article: What Foot Traffic Reveals About Demand