🚨 New Paper and Public Good🚨 "The Global Macro Database: A New International Macroeconomic Dataset", joint with Chenzi Xu, Mohammed Lehbib, and Ziliang Chen. We built the most comprehensive macro database ever—covering 243 countries from 1086-today, integrating 110 sources. 🧵

Local Projections or VARs? A Primer for Macroeconomists. arxiv.org/abs/2503.17144

1/ New resource: The Global Currencies Database: globalcurrenciesdatabase.com

Starting a PhD is associated with a considerable worsening of mental health. After entering their programs, students start seeking *a lot* more psychiatric medication for managing that bad mental health.

Really cool! The "Global Fuel Prices Database" "Global Fuel Prices Database provides monthly retail fuel prices of regular gasoline (research octane number, RON, below 95), premium gasoline (RON of 95 or above), diesel, kerosene, LPG for automobiles, bottled LPG, heating oil,

I added a few lecture notes during this semester. sites.google.com/view/toshimuko…

When supply shocks are global but monetary policy is national, central banks may overstimulate: uncoordinated policy may lead to global expansionary bias, from Veronica Guerrieri, Guido Lorenzoni, and Ivan Werning nber.org/papers/w33840

This is a really good set of notes, by Leonard Goff leonardgoff.com/teaching/Causa…

📊 Número de ARTÍCULOS ACADÉMICOS publicados en 2024 (por millón de habitantes) 🎓 🥇 🇨🇱 Chile: 1,096 🥈 🇺🇾 Uruguay: 715 🥉 🇪🇨 Ecuador: 461 🇧🇷 Brasil: 440 🇦🇷 Argentina: 372 🇨🇴 Colombia: 353 🇨🇷 Costa Rica: 350 🇵🇪 Perú: 323 🇲🇽 México: 263 🇵🇦 Panamá: 233 🇨🇺 Cuba: 203 🇵🇾 Paraguay:

The July 2025 issue of AEJ: Macroeconomics (17, 3) is now available online at aeaweb.org/issues/809.

🚀 Update: Global Macro Database (GMD), 2025-06🚀 We just published the second update of the most comprehensive macroeconomic dataset ever assembled. Thanks to all who sent feedback—your input is what continuously improves this public good. 🧵 Thread

Very valuable! There are solutions to the exercises in the book "Open Economy Macroeconomics" by Martín Uribe and Stephanie Schmitt-Grohé. uribe-schmitt-grohe.github.io/open-economy-m… The book is available here: press.princeton.edu/books/hardcove…

My friend Anna has co-authored a great, practical guide for PhD students starting in research. It’s especially useful for those in applied economics, micro, and related fields. I highly recommend it. ub.edu/school-economi…

I’m often asked: Can deep learning (efficiently) approximate functions in economics with kinks? Yes, it can. To illustrate, my fantastic coauthor Mahdi E Kahou has coded the solution to the canonical McCall (1970) labor search model using deep learning. 👉 In this simple model,

Proud to have co-led this new IMF Staff Discussion Note on fiscal rules. Link to the note below. (1/3) #FiscalPolicy #Debt #FiscalRules

1/ Economic outcomes often depend on the distribution of some maximum value (e.g. the highest valuation, best idea, or lowest cost). If the average number of options is large, do such outcomes change when some agents have more options than others? A thread 🧵about this paper.👇

Research output after tenure drops off a cliff for business, economics, sociology, and other non-lab fields. But it remains high post-tenure in lab-based fields such as chemistry, physics, computer science, and engineering.

New data drop! 📊 A new extension of the Global Tariff Database is now available, covering the U.S. trade war (2018–2025) 🇺🇸🌏 It includes bilateral tariffs — those imposed by the U.S. and those faced by U.S. exporters — tracking all changes from Jan 2018 to mid-Aug 2025.

Database update! The EUROPROD-UA TFP growth database has been updated with data through 2025Q2 #bdeResearch #productivity ➡️ bde.es/wbe/en/areas-a…