Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
This paper analyzes the effects of hurricane Sandy on the New York City housing market using a large parcel-level dataset that contains all housing sales for 2003–2017. The dataset also contains geo-coded FEMA data on which building structures were damaged by the hurricane and to what degree. Our estimates provide robust evidence of a persistent negative impact on flood zone housing values. We show the gradual emergence of a price penalty among flood zone properties that were not damaged by Sandy, reaching 8% in year 2017 and showing no signs of recovery. In contrast, damaged properties suffered a large immediate drop in value following the storm (17–22%), followed by a partial recovery and convergence toward a similar penalty as non-damaged properties. The partial recovery in the prices of damaged properties likely reflects their gradual restoration. However, the persistent price reduction affecting all flood-zone properties is more consistent with a learning mechanism. Hurricane Sandy may have increased the perceived risk of large-scale flooding episodes in that area.