flood risk beliefs. The model incorporates a Bayesian learning mechanism allowing agents to update their beliefs depending … on whether flood events occur. Second, to quantify these elements, we implement a door-to-door survey campaign in Rhode … Island. The results confirm significant heterogeneity in flood risk beliefs, and that selection into coastal homes is driven …

-maturity bonds and is not solely driven by near-term flood risk. We use a structural model of credit risk to quantify the implied …

different levels of migration frictions. We bring the model to the data for the whole world economy at a 1°×1° geographic … regions in the world. We then use the model to study the effect of a spatial shock. We focus on the example of a rise in the … of the world economy …

. By constructing a global city data set that covers the years 2012 to 2018, we test several flood risk adaptation … hypotheses. Population growth is lower in cities that suffer from more floods. Richer cities suffer fewer deaths from flood …

economies, are false or need serious amendment in a world with international trade in goods. Since the three results we … a re-examination may be in order. Specifically, we demonstrate that in an open trading world, but not in a closed …

world real GDP per capita by 7.22 percent by 2100. On the other hand, abiding by the Paris Agreement, thereby limiting the …

Climate change effects on agricultural yields will be uneven over the world with a few countries, mostly in high …