Flood Risk and the U.S. Housing Market

References

• Atreya, A., Ferreira, S., & Kriesel, W. (2013). Forgetting the flood? An analysis of the flood risk discount over time. Land Economics, 89(4), 577–596.
   Web of Science ®Google Scholar
• Atreya, A., Ferreira, S., & Michel-Kerjan, E. (2015). What drives households to buy flood insurance? New evidence from Georgia. Ecological Economics, 117, 153–161.
   Web of Science ®Google Scholar
• Baron, J., Hershey, J. C., & Kunreuther, H. (2000). Determinants of priority for risk reduction: the role of worry. Risk Analysis, 20(4), 413–428.
   PubMed Web of Science ®Google Scholar
• Bernstein, A., Gustafson, M., & Lewis, R. (2018). Disaster on the horizon: The price effect of sea level rise. SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3073842
   Google Scholar
• Bhutta, N., & Dettling, L. J. (2018). Assessing families' liquid savings using the survey of consumer finances (No. 2018-11-19). Board of Governors of the Federal Reserve System (US).
   Google Scholar
• Bin, O., & Kruse, J. B. (2006). Real estate market response to coastal flood hazards. Natural Hazards Review, 7(4), 137–144.
   Google Scholar
• Bin, O., Crawford, T. W., Kruse, J. B., & Landry, C. E. (2008). Viewscapes and flood hazard: Coastal housing market response to amenities and risk. Land Economics, 84(3), 434–448.
   Web of Science ®Google Scholar
• Bin, O., Kruse, J. B., & Landry, C. E. (2008). Flood hazards, insurance rates, and amenities: Evidence from the coastal housing market. Journal of Risk and Insurance, 75(1), 63–82.
   Web of Science ®Google Scholar
• Bin, O., & Landry, C. E. (2013). Changes in implicit flood risk premiums: Empirical evidence from the housing market. Journal of Environmental Economics and Management, 65(3), 361–376. HYPERLINK “https://protect-us.mimecast.com/s/SL58C5ylW5F05NOpXUzgQhi?domain=doi.org” https://doi.org/10.1016/j.jeem.2012.12.002.
   Google Scholar
• Bin, O., & Polasky, S. (2004). Effects of flood hazards on property values: Evidence before and after Hurricane Floyd. Land Economics, 80(4), 490–500.
   Web of Science ®Google Scholar
• Bleakley, H., & Lin, J. (2012). Portage and path dependence. The Quarterly Journal of Economics, 127(2), 587–644.
   PubMed Web of Science ®Google Scholar
• Bretz, L. (2017, October 18). Climate change and homes: Who would lose the most to a rising tide? Zillow Research. https://www.zillow.com/research/climate-change-underwater-homes-2-16928/
   Google Scholar
• Brody, S. D., Highfield, W. E., Wilson, M., Lindell, M. K., & Blessing, R. (2017). Understanding the motivations of coastal residents to voluntarily purchase federal flood insurance. Journal of Risk Research, 20(6), 760–775.
   Web of Science ®Google Scholar
• Browne, M. J., & Hoyt, R. E. (2000). The demand for flood insurance: Empirical evidence. Journal of Risk and Uncertainty, 20(3), 291–306.
   Web of Science ®Google Scholar
• Carbone, J. C., Hallstrom, D. G., & Smith, V. K. (2006). Can natural experiments measure behavioral responses to environmental risks? Environmental and Resource Economics, 33(3), 273–297.
   Web of Science ®Google Scholar
• Cavallo, E., Galiani, S., Noy, I., & Pantano, J. (2013). Catastrophic natural disasters and economic growth. Review of Economics and Statistics, 95(5), 1549–1561.
   Web of Science ®Google Scholar
• Chivers, J., & Flores, N. E. (2002). Market failure in information: The National Flood Insurance Program. Land Economics, 78(4), 515–521.
   Web of Science ®Google Scholar
• Cronon, W. (2009). Nature's metropolis: Chicago and the Great West. W.W. Norton & Company.
   Google Scholar
• Dacy, D. & H. Kunreuther (1968). The economics of natural disasters. Free Press.
   Google Scholar
• Daniel, V. E., Florax, R. J., & Rietveld, P. (2009). Flooding risk and housing values: An economic assessment of environmental hazard. Ecological Economics, 69(2), 355–365.
   Web of Science ®Google Scholar
• Dixon, L., Clancy, N., Bender, B., Kofner, A., Manheim, D., & Zakaras, L. (2013). Flood insurance in New York City following Hurricane Sandy. Rand Corporation.
   Google Scholar
• Dixon, L., Clancy, N., Miller, B. M., Hoegberg, S., Lewis, M. M., Bender, B., … & Choquette, S. R. (2017). The cost and affordability of flood insurance in New York City. RAND Corporation.
   Google Scholar
• Dixon, L., Clancy, N., Seabury, S.A. and Overton, A. (2006). The National Flood Insurance Program’s market penetration rate: estimates and policy implications. RAND Corporation.
   Google Scholar
• Federal Deposit Insurance Corporation (FDIC). (2019). Trends in mortgage origination and servicing: Nonbanks in the post-crisis period. Federal Deposit Insurance Corporation. https://www.fdic.gov/bank/analytical/quarterly/2019-vol13-4/fdic-v13n4-3q2019-article3.pdf
   Google Scholar
• Federal Emergency Management Agency (FEMA). (2013). The national flood hazard layer: Products and services using FEMA’s flood hazard data. Federal Emergency Management Agency.
   Google Scholar
• Federal Emergency Management Agency (FEMA). (2015a). Designing for flood levels above the BFE after Hurricane Sandy (Hurricane Sandy Recovery Advisory, RA52013). Federal Emergency Management Agency.
   Google Scholar
• Federal Emergency Management Agency (FEMA). (2018). An affordability framework for the National Flood Insurance Program. Department of Homeland Security, Federal Emergency Management Agency.
   Google Scholar
• Filippova, O., Nguyen, C., Noy, I., & Rehm, M. (2020). Who cares? Future sea level rise and house prices. Land Economics, 96(2), 207–224.
   Web of Science ®Google Scholar
• Finch, C., Emrich, C. T., & Cutter, S. L. (2010). Disaster disparities and differential recovery in New Orleans. Population and Environment, 31(4), 179–202.
   Web of Science ®Google Scholar
• Gallagher, J. (2014). Learning about an infrequent event: Evidence from flood insurance take-up in the United States. American Economic Journal: Applied Economics, 206–233.
   Web of Science ®Google Scholar
• Gallagher, J., & Hartley, D. (2017). Household finance after a natural disaster: The case of Hurricane Katrina. American Economic Journal: Economic Policy, 9(3), 199–228.
   Web of Science ®Google Scholar
• Garner, A. J., Mann, M. E., Emanuel, K. A., Kopp, R. E., Lin, N., Alley, R. B., … & Pollard, D. (2017). Impact of climate change on New York City’s coastal flood hazard: Increasing flood heights from the preindustrial to 2300 CE. Proceedings of the National Academy of Sciences, 114(45), 11861–11866.
   PubMed Web of Science ®Google Scholar
• Gete, P., Tsouderou, A., & Wachter, S. (2020). Mortgage stress without GSEs. Lessons from hurricanes and the credit risk transfers. SSRN. https://ssrn.com/abstract=3613211
   Google Scholar
• Grossi, P., & Kunreuther, H. (2005). Catastrophe modeling: A new approach to managing risk (Vol. 25). Huebner International Series on Risk, Insurance and Economic Security, Springer Science & Business Media.
   Google Scholar
• Hallstrom, D. G., & Smith, V. K. (2005). Market responses to hurricanes. Journal of Environmental Economics and Management, 50(3), 541–561.
   Web of Science ®Google Scholar
• Harrison, D., T. Smersh, G., & Schwartz, A. (2001). Environmental determinants of housing prices: The impact of flood zone status. Journal of Real Estate Research, 21(1-2), 3–20.
   Google Scholar
• Healy, A., & Malhotra, N. (2009). Myopic voters and natural disaster policy. American Political Science Review, 387–406.
   Web of Science ®Google Scholar
• Kahneman, D. (2011). Thinking, fast and slow. Farrar, Straus and Giroux.
   Google Scholar
• Kahneman, D., Slovic, P. & Tversky, A. (Eds.) (1982). Judgment under uncertainty: Heuristics and biases. Cambridge University Press.
   Google Scholar
• Kahneman, D. & Tversky, A. (1979). Prospect theory: An Analysis of decision under risk. Econometrica, 47(4), 263–291.
   Google Scholar
• Kotkin, J. (2014). Sustaining prosperity: A long term vision for the New Orleans region. Greater New Orleans, Inc.
   Google Scholar
• Kousky, C. (2010). Learning from extreme events: Risk perceptions after the flood. Land Economics, 86(3), 395–422.
   Web of Science ®Google Scholar
• Kousky, C. (2011). Understanding the demand for flood insurance. Natural Hazards Review, 12(2), 96–110.
   Web of Science ®Google Scholar
• Kousky, C. (2014). Informing climate adaptation: A review of the economic costs of natural disasters. Energy Economics, 46, 576–592.
   Web of Science ®Google Scholar
• Kousky, C. (2017). Disasters as learning experiences or disasters as policy opportunities? Examining flood insurance purchases after hurricanes. Risk Analysis, 37(3), 517–530.
   PubMed Web of Science ®Google Scholar
• Kousky, C. (2018). Financing flood losses: A discussion of the National Flood Insurance Program. Risk Management and Insurance Review, 21(1), 11–32.
   Google Scholar
• Kousky, C., & Kuneuther, H. (2014). Addressing affordability in the National Flood Insurance Program. Journal of Extreme Events, 1(1), 1–28.
   Google Scholar
• Kousky, C., Lingle, B., & Shabman, L. (2017). The pricing of flood insurance. Journal of Extreme Events 4(1):17500014.
   Google Scholar
• Kousky, C., & Michel‐Kerjan, E. (2017). Examining flood insurance claims in the United States: Six key findings. Journal of Risk and Insurance, 84(3), 819–850.
   Web of Science ®Google Scholar
• Kousky, C., Kunreuther, H., Lingle, B., & Shabman, L. (2018) The emerging private residential flood insurance market in the United States. Wharton Risk Management and Decision Processes Center. https://riskcenter.wharton.upenn.edu/wp-content/uploads/2018/07/The-Emerging-Flood-Insurance-Market-Report.pdf
   Google Scholar
• Kousky, C., Palim, M., & Pan, Y. (2020). Flood risk and mortgage credit risk: A case study of Hurricane Harvey. The Journal of Housing Research, 29(S1).
   Google Scholar
• Kunda, Z. (1990). The case for motivated reasoning. Psychological Bulletin, 108(3), 480.
   PubMed Web of Science ®Google Scholar
• Kunreuther, H. (2018a). Improving the National Flood Insurance Program. Behavioural Public Policy, 1–15.
   Google Scholar
• Kunreuther, H. (2018b). All‐hazards homeowners insurance: Challenges and opportunities. Risk Management and Insurance Review, 21(1), 141–155.
   Google Scholar
• Kunreuther, H., Dorman, J., Edelman, S., Jones, C., Montgomery, M., & Sperger, J. (2017). Structure specific flood risk based insurance. Journal of Extreme Events, 4(3), 1750011.
   Google Scholar
• Kunreuther, H., Meyer, R., & Michel-Kerjan, E. (2013). Overcoming decision biases to reduce losses from natural catastrophes. In E. Shafir (Ed.), Behavioral Foundations of Policy. Princeton: Princeton University Press.
   Google Scholar
• Kusisto, L. (2018, August 25). Flooding risk knocks $7 billion off home values, study finds. The Wall Street Journal.
   Google Scholar
• Laibson, David. (1997). Golden eggs and hyperbolic discounting. Quarterly Journal of Economics, 112, 443–477
   Web of Science ®Google Scholar
• Landry, C. E., & Jahan‐Parvar, M. R. (2011). Flood insurance coverage in the coastal zone. Journal of Risk and Insurance, 78(2), 361–388.
   Web of Science ®Google Scholar
• Lo, A. Y. (2013). The role of social norms in climate adaptation: Mediating risk perception and flood insurance purchase. Global Environmental Change, 23(5), 1249–1257.
   Web of Science ®Google Scholar
• MacDonald, D. N., White, H. L., Taube, P. M., & Huth, W. L. (1990). Flood hazard pricing and insurance premium differentials: Evidence from the housing market. Journal of Risk and Insurance, 654–663.
   Web of Science ®Google Scholar
• Mallakpour, I., & Villarini, G. (2015). The changing nature of flooding across the central United States. Nature Climate Change, 5(3), 250–254.
   Web of Science ®Google Scholar
• McClelland, G. H., Schulze, W. D., & Coursey, D. L. (1993). Insurance for low-probability hazards: A bimodal response to unlikely events. Journal of Risk and Uncertainty, 7, 95–116.
   Web of Science ®Google Scholar
• Meyer, R., & Kunreuther, H. (2017). The ostrich paradox: Why we underprepare for disasters. Wharton School Press.
   Google Scholar
• Michel-Kerjan, E., Lemoyne de Forges, S., & Kunreuther, H. (2012). Policy tenure under the US national flood insurance program (NFIP). Risk Analysis: An International Journal, 32(4), 644–658.
   Google Scholar
• Moody’s Investors Service. (2017, November 28). Moody’s: Climate change is forecast to heighten US exposure to economic loss placing short- and long-term credit pressure on US states and local governments [Research announcement]. https://www.moodys.com/research/Moodys-Climate-change-is-forecast-to-heighten-US-exposure-to–PR_376056
   Google Scholar
• National Research Council. (2015). Tying flood insurance to flood risk for low-lying structures in the floodplain. Washington, DC: National Academies Press.
   Google Scholar
• National Research Council. (2016). Affordability of national flood insurance premiums: Report 2. Washington, DC: National Academies Press.
   Google Scholar
• Office of Inspector General. (2017). FEMA needs to improve management of its flood mapping programs. U.S. Department of Homeland Security.
   Google Scholar
• Ortega, F., & Taṣpınar, S. (2018). Rising sea levels and sinking property values: Hurricane Sandy and New York’s housing market. Journal of Urban Economics, 106, 81–100.
   Web of Science ®Google Scholar
• Petrolia, D. R., Landry, C. E., & Coble, K. H. (2013). Risk preferences, risk perceptions, and flood insurance. Land Economics, 89(2), 227–245.
   Web of Science ®Google Scholar
• Pope, J. C. (2008). Do seller disclosures affect property values? Buyer information and the hedonic model. Land Economics, 84(4), 551–572.
   Web of Science ®Google Scholar
• Prein, A. F., Rasmussen, R. M., Ikeda, K., Liu, C., Clark, M. P., & Holland, G. J. (2017). The future intensification of hourly precipitation extremes. Nature Climate Change, 7(1), 48–52.
   Web of Science ®Google Scholar
• Rao, K. (2017). Climate change and housing: Will a rising tide sink all homes? Zillow Research. https://www.zillow.com/research/climate-change-underwater-homes-12890.
   Google Scholar
• Samuelson, W., & Zeckhauser, R. (1988). Status quo bias in decision making. Journal of Risk and Uncertainty, 1(1), 7–59.
   Google Scholar
• Slovic, P. (2000). The perception of risk. Earthscan.
   Google Scholar
• Spanger-Siegfried, E., Dahl, K., Caldas, A., Udvardy, S., Cleetus, R., Worth, P., & Hernandez Hammer, N. (2017). When rising seas hit home: Hard choices ahead for hundreds of U.S. Coastal Communities. Union of Concerned Scientists.
   Google Scholar
• Sweet, W. V., & Park, J. (2014). From the extreme to the mean: Acceleration and tipping points of coastal inundation from sea level rise. Earth's Future, 2(12), 579–600.
   Web of Science ®Google Scholar
• Technical Mapping Advisory Council. (2015). 2015 Annual report summary. Technical Mapping Advisory Council.
   Google Scholar
• Thaler, R. H. & Sunstein, C. R. (2008). Nudge: Improving decisions about health, wealth, and happiness. Yale University Press.
   Google Scholar
• Tibbetts, J. & Mooney, C. (2018, August 20). Sea level rise is eroding home value, and owners might not even know it. The Washington Post.
   Google Scholar
• Tversky, A., & Kahneman, D. (1973). Availability: A heuristic for judging frequency and probability. Cognitive Psychology, 5(2), 207–232.
   Web of Science ®Google Scholar
• Urban Institute. (2020, March 26). Housing finance at a glance: A monthly chartbook, March 2020. https://www.urban.org/research/publication/housing-finance-glance-monthly-chartbook-march-2020/view/full_report
   Google Scholar
• Wing, O. E., Bates, P. D., Smith, A. M., Sampson, C. C., Johnson, K. A., Fargione, J., & Morefield, P. (2018). Estimates of present and future flood risk in the conterminous United States. Environmental Research Letters, 13(3), 034023.
   Google Scholar
• Wobus, C., Lawson, M., Jones, R., Smith, J., & Martinich, J. (2014). Estimating monetary damages from flooding in the United States under a changing climate. Journal of Flood Risk Management, 7(3), 217–229.
   Web of Science ®Google Scholar
• Zandi, M., Cochrane, S., Ksiazkiewicz, F., & Sweet, R. (2006). Restarting the economy. In E. L. Birch & S. M. Wachter (Eds.). Rebuilding urban places after disaster: Lessons from Hurricane Katrina (pp. 103–116). University of Pennsylvania Press.
   Google Scholar