We introduce a new comprehensive announcement-level database tracking the extraordinary fiscal, monetary, prudential, and other policies that countries adopted in response to Covid-19. The database provides detailed information, including sizes where available, for 28 granular policies adopted...

Recent literature has shown that corporate indebtedness affects firm-level investment behavior but not necessarily aggregate business cycles. I argue that interactions among heterogeneous firms play an important role in equilibrium. After a downturn, financially unconstrained firms in...

Maritime data from the Automatic Identification System (AIS) have emerged as a potential source for real time information on trade activity. However, no globally applicable end-to-end solution has been published to transform raw AIS messages into economically meaningful, policy-relevant...

When inflation originates from distributional conflicts, shifts in inflation expectations, or energy price shocks, monetary policy (MP) is a costly stabilization instrument. We show that a tax on inflation policy (TIP), which would require firms to pay a tax proportional to the increase in their...

Recent failures of US banks highlight that large liability withdrawals can damage capital positions-i.e., that liquidity risk and solvency risk interact. A simple risk assessment for banks in a wide group of countries finds sizable exposure to this interaction. This varies significantly across...

Inflation has been rising during the pandemic against supply chain disruptions and a multi-year boom in global owner-occupied house prices. We present some stylized facts pointing to house prices as a leading indicator of headline inflation in the U.S. and eight other major economies with...

The International Monetary Fund (IMF) has expanded its online learning program, offering over 100 Massive Open Online Courses (MOOCs) to support economic and financial policymaking worldwide. This paper explores the application of Artificial Intelligence (AI), specifically Large Language Models...

Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and economic uncertainty post-pandemic. Machine learning models can improve forecasting performance by incorporating a wider range of variables, allowing for non-linear relationships,...