1,956
Views
0
CrossRef citations to date
0
Altmetric
Articles

Deductible Choice in Flood Insurance: Who Chooses the Maximum?

, , &

References

  • Baen, J., & Dermisi, S. (2007). The New Orleans-Katrina case for new federal policies and programs for high-risk areas. Journal of Real Estate Literature, 15(2), 229–252.
  • Beshears, J., Choi, J. J., Laibson, D., & Madrian, B. C. (2009). The importance of default options for retirement saving outcomes: Evidence from the United States. In Social security policy in a changing environment (pp. 167–195). University of Chicago Press.
  • Blanchard-Boehm, R. D., Berry, K. A., & Showalter, P. S. (2001). Should flood insurance be mandatory? Insights in the wake of the 1997 New Year’s Day flood in Reno–Sparks, Nevada. Applied Geography, 21(3), 199–221.
  • Botzen, W. W., & van den Bergh, J. C. (2012). Risk attitudes to low-probability climate change risks: WTP for flood insurance. Journal of Economic Behavior & Organization, 82(1), 151–166.
  • Bradt, J. (2019). Comparing the effects of behaviorally informed interventions on flood insurance demand: An experimental analysis of ‘boosts’ and ‘nudges’. Behavioural Public Policy, 1–31.
  • Brough, A., Isaac, M., & Chernev, A. (2008). The “sticky choice” bias in sequential decision-making. ACR North American Advances.
  • Browne, M. J., & Hoyt, R. E. (2000). The demand for flood insurance: Empirical evidence. Journal of Risk and Uncertainty, 20(3), 291–306.
  • Burrus, R., Dumas, C., & Graham, E. (2008). Coastal homeowner responses to hurricane risk perceptions. Journal of Housing Research, 17(1), 49–60.
  • Chang, C. H., Dandapani, K., & Johnson, K. (2010). Flood zone uncertainty and the likelihood of marketing success. Journal of Housing Research, 19(2), 171–184.
  • Cohen, A,, & Einav, L. (2007). Estimating risk preferences from deductible choice. American Economic Review, 97(3), 745–788.
  • Collier, B., Schwartz, D., Kunreuther, H., & Michel-Kerjan, E. (2019). Characterizing households' large (and small) stakes decisions: Evidence from flood insurance. SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3506843
  • DellaVigna, S., & Malmendier, U. (2006). Paying not to go to the gym. American Economic Review, 96(3), 694–719.
  • Dombrowski, T., Ratnadiwakara, D., & Slawson Jr, V. C. (2019). The FIMA NFIP’s redacted policies and redacted claims data sets. SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3464626
  • Frame, D. E. (2001). Insurance and community welfare. Journal of Urban Economics, 49(2), 267–284.
  • 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.
  • 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.
  • Johnson, E. J., & Goldstein, D. (2003). Do defaults save lives? Science (302) 5649, 1338–1339.
  • Kousky, C. (2011). Understanding the demand for flood insurance. Natural Hazards Review, 12(2), 96–110.
  • 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.
  • Kousky, C., & Kunreuther, H. (2014). Addressing affordability in the national flood insurance program. Journal of Extreme Events, 1(01), 1450001.
  • Landry, C. E., & Jahan‐Parvar, M. R. (2011). Flood insurance coverage in the coastal zone. Journal of Risk and Insurance, 78(2), 361–388.
  • 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.
  • Michel‐Kerjan, E. O., & Kousky, C. (2010). Come rain or shine: Evidence on flood insurance purchases in Florida. Journal of Risk and Insurance, 77(2), 369–397.
  • Morgan, A. (2007). The impact of Hurricane Ivan on expected flood losses, perceived flood risk, and property values. Journal of Housing Research, 16(1), 47–60.
  • Van Nostrand, J. M., & Nevius, J. G. (2011). Parametric insurance: Using objective measures to address the impacts of natural disasters and climate change. Environmental Claims Journal, 23(3–4), 227–237.
  • Petrolia, D. R., Landry, C. E., & Coble, K. H. (2013). Risk preferences, risk perceptions, and flood insurance. Land Economics, 89(2), 227–245.
  • Ratnadiwakara, D., & Venugopal, B. (2019). Climate risk perceptions and demand for flood insurance. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3531380
  • Rees, R., & Wambach, A. (2008). The microeconomics of insurance. Now Publishers Inc.
  • Shilling, J. D., Sirmans, C. F., & Benjamin, J. D. (1989). Flood insurance, wealth redistribution, and urban property values. Journal of Urban Economics, 26(1), 43–53.
  • Sunstein, C. R., & Thaler, R. H. (2003). Libertarian paternalism is not an oxymoron. The University of Chicago Law Review, 1159–1202.
  • Willis, L. E. (2013). When nudges fail: Slippery defaults. The University of Chicago Law Review, 1155–1229.
  • Zhang, L., & Leonard, T. (2019). Flood hazards impact on neighborhood house prices. The Journal of Real Estate Finance and Economics, 58(4), 656–674.