Abstract
We calculate there are 8.1% more houses in Allegheny County, PA (Pittsburgh) due to flood insurance subsidies. Conversely, if/when National Flood Insurance Program (NFIP) premiums rise by 50% to equal expected damages, property values will decrease by 8.8% in the short-term, with about half of that recuperated in the long run (4.7%) as quality-adjusted housing stocks contract by 7.5% over decades. This analysis informs community planning and current NFIP revisions that strive to balance solvency and social consequences. Furthermore, our extension of Poterba's (1984) dynamic user-cost of housing model can be used in integrated assessment models of climate change adaptation.
| Original language | English (US) |
|---|---|
| Article number | 2050012 |
| Journal | Climate Change Economics |
| Volume | 12 |
| Issue number | 1 |
| DOIs | |
| State | Published - Feb 2021 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
All Science Journal Classification (ASJC) codes
- Global and Planetary Change
- Economics and Econometrics
- Management, Monitoring, Policy and Law
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