We analyze the role of international trade and health coordination in times of a pandemic by building a two-economy, two-good trade model integrated into a micro-founded SIR model of infection dynamics. Uncoordinated governments with national mandates can adopt (i) containment policies to...

We link the sustained appreciation of the U.S. dollar from 2011 to 2019 to international capital flows driven by primitive economic factors. We show that increases in foreign investors’ net savings, increases in U.S. monetary policy rates relative to the rest of the world, and shifts in...

We develop a portfolio-based framework to understand the deterioration of the U.S. net foreign asset (NFA) position and the returns earned on U.S. NFA (exorbitant privilege). We show global savings gluts and monetary policies widened the U.S. NFA position, while investor demand shifts offset...

We analyze the role of international trade and health coordination in times of a pandemic by building a two-economy, two-good trade model integrated into a micro-founded SIR model of infection dynamics. Uncoordinated governments with national mandates can adopt (i) containment policies to...

We analyze the role of international trade and health coordination during a pandemic by developing a two-economy, two-good trade model integrated into a micro-founded SIR model of infection dynamics. Governments can adopt containment policies to suppress infection spread domestically, and levy...

We analyse the role of international trade and health coordination in times of a pandemic by building a two-economy, two-good trade model integrated into a micro-founded SIR model of infection dynamics. Uncoordinated governments with national mandates can adopt (i) containment policies to...

We develop and test a model of the global trade network. This model connects international comovements of quantities and asset prices to a simple measure of network closeness, constructed from observed trade weights. We report three findings: (1) Countries that are closer in the network tend to...