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To browse Academia. This study employs the hedonic property price method to analyze the flood risk effect on a rich set of data. The analysis is carried out on Hungary, but as the control variables are extremely elaborated, our results have general importance. The paper finds a significant reduction in housing prices accounted to ZIP code level flood risk even after controlling for a wide range of geographical and socio-economic features.
This paper finds that flood risk reduces housing prices substantially. It turns out that the average elasticity is driven by being in close proximity of major rivers. While riverside areas have an overall price premium in Hungary, risky areas loose this advantage to flood risk. Steve Berggreen-Clausen. I study the effect of perceived flood risk on property prices in Sweden, before and after a major flood event.
Data on property transactions for single-family homes are used in a difference-in-differences spatial hedonic model to study the preand post-flood risk discount. I find no significant price discount for the properties in the floodplain, neither before nor after the flood.
This stands in contrast to findings from other countries, where prices have been found to drop significantly after a major flood. An explanatory mechanism driving the difference could be the home insurance system of Sweden, where insurance against flood damages is included free of charge, in contrast to countries investigated in previous studies.