providing home-specific flood risk information on the behavior of home buyers in terms of their search, bidding, and purchasing … decisions. Redfin randomly assigned 17.5 million users to receive information detailing the flood risk associated with the … properties they searched for on the platform. Our analysis reveals several key findings: (1) the flood risk information …

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 …

Flood protection infrastructure investments, such as Army Corps of Engineers levees, can enhance resilience to flood … areas protected by levees, home values increase 3-4 percent. Levees impose adverse spillover flood risks that reduce home …

-probability/high-impact risks, like floods, and whether past flood insurance purchases and flooding experience moderate the effect of defaults. Our … study uses a naturally occurring difference in experience, comparing the surveyed flood insurance choices of 1 …,187 homeowners, half of whom are in the Netherlands, where flood insurance penetration rates are low and recent flooding caused minor …

. 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 …