Traditional theories of integration such as the optimum currency area approach attribute a prominent role to international labour mobility in coping with relative economic fluctuations between countries. However, recent studies on international migration have overlooked the role of short-run...

The global financial crisis has brought to center stage the international transmission of financial shocks. Similarly, recent global shocks, such as Covid-19 and the war in Ukraine, have shown the vulnerability of production chains relying on foreign suppliers. There has even been suggestions to...

Since Gabaix (2011), the role of changes in the performance of some very large firms in shaping aggregate outcomes has been intensively studied in the economic literature. Changes in the performance of a few large firms can arise due to idiosyncratic shocks or idiosyncratic reactions to common...

Since Gabaix (2011), the role of changes in the performance of some very large firms in shaping aggregate outcomes has been intensively studied in the economic literature. Changes in the performance of a few large firms can arise due to idiosyncratic shocks or idiosyncratic reactions to common...

Standard horizontal FDI models predict substitutability between FDI and exports in light of the proximity-concentration trade-off, nonetheless, empirical literature finds, almost invariably, a complementarity effect. We argue that given the multi-product nature of the vast majority of firms, FDI...

In this paper, we study the role of short‐run factors such as business cycles or changes in employment rates in explaining international migration flows. First, we derive a model of optimal migration choice predicting that short‐run economic fluctuations trigger migration flows on top of the...

This paper exploits daily infrared images taken from satellites to track economic activity in advanced and emerging countries. We first develop a framework to read, clean, and exploit satellite images. Our algorithm uses the laws of physics (Planck's law) and machine learning to detect the heat...