Flood Risk Perceptions

References

1. 1. Bakkensen, L. A., &
   2. Barrage, L.

   (2022, 11). Going Underwater? Flood Risk Belief Heterogeneity and Coastal Home Price Dynamics. The Review of Financial Studies.
2. 1. Barseghyan, L.,
   2. Molinari, F.,
   3. O’Donoghue, T., &
   4. Teitelbaum, J. C.

   (2013a, May). Distinguishing probability weighting from risk misperceptions in field data. American Economic Review, 103(3), 580–85. Retrieved from https://www.aeaweb.org/articles?id=10.1257/aer.103.3.580 doi: 10.1257/aer.103.3.580

   OpenUrlCrossRef
3. 1. Barseghyan, L.,
   2. Molinari, F.,
   3. O’Donoghue, T., &
   4. Teitelbaum, J. C.

   (2013b, October). The nature of risk preferences: Evidence from insurance choices. American Economic Review, 103(6), 2499–2529. Retrieved from https://www.aeaweb.org/articles?id=10.1257/aer.103.6.2499 doi: 10.1257/aer.103.6.2499

   OpenUrlCrossRef
4. 1. Barseghyan, L.,
   2. Molinari, F.,
   3. O’Donoghue, T., &
   4. Teitelbaum, J. C.

   (2018, June). Estimating risk preferences in the field. Journal of Economic Literature, 56(2), 501–64. Retrieved from https://www.aeaweb.org/articles?id=10.1257/jel.20161148 doi: 10.1257/jel.20161148

   OpenUrlCrossRef
5. 1. Beltran, A.,
   2. Maddison, D., &
   3. Elliott, R. J. R.

   (2018, April). Is Flood Risk Capitalised Into Property Values? Ecological Economics, 146, 668–685. Retrieved 2023-04-19, from https://www.sciencedirect.com/science/article/pii/S0921800916314732 doi: 10.1016/j.ecolecon.2017.12.015

   OpenUrlCrossRef
6. 1. Bin, O.,
   2. Kruse, J. B., &
   3. 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. Retrieved 2023-05-05, from https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1539-6975.2007.00248.x (eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1539-6975.2007.00248.x) doi: 10.1111/j.1539-6975.2007.00248.x

   OpenUrlCrossRefWeb of Science
7. 1. Bin, O., &
   2. Landry, C. E.

   (2013, May). Changes in implicit flood risk premiums: Empirical evidence from the housing market. Journal of Environmental Economics and Management, 65(3), 361–376. Retrieved 2023-05-05, from https://www.sciencedirect.com/science/article/pii/S0095069612001179 doi: 10.1016/j.jeem.2012.12.002

   OpenUrlCrossRef
8. 1. Botzen, W.,
   2. Kunreuther, H. C., &
   3. Michel-Kerjan, E. O.

   (2015). Divergence between individual perceptions and objective indicators of tail risks: Evidence from floodplain residents in new york city. Judgment and Decision Making, 10(4), 365–385.

   OpenUrl
9. 1. Botzen, W. W., &
   2. 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.

   OpenUrl
10. 1. Boustan, L. P.,
    2. Kahn, M. E.,
    3. Rhode, P. W., &
    4. Yanguas, M. L.

    (2019). The effect of natural disasters on economic activity in us counties: A century of data (Working Paper No. 23410). Cambridge, MA: National Burea of Economic Research. Retrieved from https://www.nber.org/papers/w23410.pdf
11. 1. Bubeck, P.,
    2. Botzen, W., &
    3. Aerts, J.

    (2012). A review of risk perceptions and other factors that influence flood mitigation behavior. Risk Analysis, 32(9). doi: https://doi.org/10.1111/j.1539-6924.2011.01783.x
12. 1. Collier, B. L.,
    2. Schwartz, D.,
    3. Kunreuther, H. C., &
    4. Michel-Kerjan, E. O.

    (2021). Insuring large stakes: A normative and descriptive analysis of households’ flood insurance coverage. Journal of Risk and Insurance, n/a(n/a). Retrieved from https://onlinelibrary.wiley.com/doi/abs/10.1111/jori.12363 doi: https://doi.org/10.1111/jori.12363
13. 1. Czajkowski, J.,
    2. Kunreuther, H. C., &
    3. Michel-Kerjan, E.

    (2013). Quantifying riverine and stormsurge flood risk by single-family residence: Application to texas. Risk Analysis, 33(12), 2092–2110.

    OpenUrl
14. 1. de Bruin, W. B.,
    2. Fischbeck, P. S.,
    3. Stiber, N. A., &
    4. Fishhoff, B.

    (2002). What number is ‘fiftyfifty’?: Redistributing excessive 50% responses in elicited probabilities. Risk Analysis, 22(4). doi: https://doi.org/10.1111/0272-4332.00063
15. 1. Delavande, A.

    (2014). Probabilistic expectations in developing countries. Annual Review of Economics, 6(1), 1–20. Retrieved from https://doi.org/10.1146/annurev-economics-072413105148 doi: 10.1146/annurev-economics-072413-105148

    OpenUrlCrossRef
16. 1. Demeritt, D., &
    2. Nobert, S.

    (2014). Models of best practice in flood risk communication and management. Environmental Hazards, 13(4), 313–328.

    OpenUrlCrossRef
17. 1. Dominitz, J., &
    2. Manski, C. F.

    (1997). Perceptions of economic insecurity: Evidence from the survey of economic expectations. The Public Opinion Quarterly, 61(2), 261–287. Retrieved from http://www.jstor.org/stable/2749552

    OpenUrlCrossRefWeb of Science
18. 1. Ferrari, S., &
    2. Cribari-Neto, F.

    (2004). Beta regression for modelling rates and proportions. Journal of Applied Statistics, 31(7), 799–815. Retrieved from https://doi.org/10.1080/0266476042000214501 doi: 10.1080/0266476042000214501

    OpenUrlCrossRef
19. First Street Foundation. (2020). First street foundation flood model. Retrieved from https://firststreet.org/api/
20. 1. Gaiha, R.,
    2. Hill, K.,
    3. Thapa, G., &
    4. Kulkarni, V. S.

    (2015). Have natural disaster become deadlier. In A. M. Balisacan, U. Chakravorty, & M.-L. V. Ravago (Eds.), Sustainable economic development: Resources, environment and institutions (p. 415–442). Oxford: Academic Press.
21. 1. Goldstein, W. M., &
    2. Einhorn, H. J.

    (1987). Expression theory and preference reversal phenomena. Psychological Review, 94, 236–254.

    OpenUrlCrossRefWeb of Science
22. 1. Gonzalex, R., &
    2. Wu

    . (1999). On the shape of the probability weighting function. Cognitive Psychology, 38, 129–166.

    OpenUrlCrossRefPubMedWeb of Science
23. 1. Hout, M.

    (2004). Getting the most out of the gss income measures (GSS Methodological Report No. 101). Berkley,CA: UC Berkley Survey Research Center. Retrieved from http://gss.norc.org/Documents/reports/methodological-reports/MR101.pdf
24. 1. Hurd, M. D.

    (2009). Subjective probabilities in household surveys. Annual Review of Economics, 1(1), 543–562. Retrieved from https://doi.org/10.1146/annurev.economics.050708.142955 doi: 10.1146/annurev.economics.050708.142955

    OpenUrlCrossRefPubMed
25. 1. Kousky, C.

    (2014). Informing climate adaptation: A review of the economic costs of natural disasters. Energy Economics, 46, 576–592.

    OpenUrl
26. 1. Kousky, C., &
    2. Kunreuther, H.

    (2014, August). Addressing Affordability in the National Flood Insurance Program. Journal of Extreme Events, 01(01), 1450001. Retrieved 2023-05-11, from https://www.worldscientific.com/doi/abs/10.1142/S2345737614500018 (Publisher: World Scientific Publishing Co.) doi: 10.1142/S2345737614500018

    OpenUrlCrossRef
27. 1. Kousky, C.,
    2. Kunreuther, H.,
    3. Lingle, B., &
    4. Shabman, L.

    (2018). The emerging private residential flood insurance market in the united states (Tech. Rep.). Philadelphia, PA: Wharton Risk Management and Decision Processes Center. Retrieved from https://riskcenter.wharton.upenn.edu/wp-content/uploads/2018/07/Emerging-Flood-Insurance-Market-Report.pdf
28. 1. Kousky, C.,
    2. Michel-Kerjan, E. O., &
    3. Raschky, P. A.

    (2018). Does federal disaster assistance crowd out flood insurance? Journal of Environmental Economics and Management, 87, 150–164. Retrieved from https://www.sciencedirect.com/science/article/abs/pii/S0095069617303479 doi: https://doi.org/10.1016/j.jeem.2017.05.010

    OpenUrl
29. 1. Kunreuther, H. C., &
    2. Michel-Kerjan, E. O.

    (2007). Climate change, insurability of large-scale disasters and the emerging liability challenge (Working Paper No. 12821). Cambridge, MA: National Burea of Economic Research. Retrieved from https://www.nber.org/papers/w12821
30. 1. Landry, C. E.,
    2. Anderson, S.,
    3. Krasovskaia, E., &
    4. Turner, D.

    (2021). Willingness to pay for multiperil hazard insurance. Land Economics, 97(4), 797–818. Retrieved from https://le.uwpress.org/content/97/4/797 doi: 10.3368/le.97.4.072820-0115R1

    OpenUrlAbstract/FREE Full Text
31. 1. Landry, C. E.,
    2. Turner, D., &
    3. Allen, T.

    (2022). Hedonic property prices and coastal beach width. Applied Economic Perspectives and Policy, 44(3), 1373–1392. Retrieved 2023-05-05, from https://onlinelibrary.wiley.com/doi/abs/10.1002/aepp.13197 ( eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/aepp.13197) doi: 10.1002/aepp.13197

    OpenUrlCrossRef
32. 1. Landry, C. E.,
    2. Turner, D., &
    3. Petrolia, D.

    (2021). Flood Insurance Market Penetration and Expectations of Disaster Assistance. Environmental and Resource Economics, 79(2), 357–386. Retrieved from https://doi.org/10.1007/s10640-021-00565-x doi: 10.1007/s10640-021-00565-x

    OpenUrlCrossRef
33. 1. Lechowska, E.

    (2018, Dec 01). What determines flood risk perception? a review of factors of flood risk perception and relations between its basic elements. Natural Hazards, 94(3), 1341–1366. Retrieved from https://doi.org/10.1007/s11069-018-3480-z doi: 10.1007/s11069-018-3480-z

    OpenUrlCrossRef
34. 1. Manski, C. F.

    (2004). Measuring expectations. Econometrica, 72(5), 1329–1376. Retrieved from https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1468-0262.2004.00537.x doi: https://doi.org/10.1111/j.1468-0262.2004.00537.x

    OpenUrlCrossRefWeb of Science
35. 1. Manski, C. F., &
    2. Molinari, F.

    (2010). Rounding probabilistic expectations in surveys. Journal of Business & Economic Statistics, 28, 219–231. doi: https://dx.doi.org/10.1198/jbes.2009.08098

    OpenUrl
36. 1. Meyer, R. J.,
    2. Baker, J.,
    3. Broad, K.,
    4. Czajkowski, J., &
    5. Orlove, B.

    (2014). The dynamics of hurricane risk perception. Bulletin of the American Meterology Society, 95(9), 13891404.

    OpenUrl
37. 1. Mol, J. M.,
    2. Botzen, W.,
    3. Blasch, J. E., &
    4. de Moel, H.

    (2020). Insights into flood risk misperceptions of homeowners in the dutch river delta. Risk Analysis. doi: https://doi.org/10.1111/risa.13479
38. 1. Mol, J. M.,
    2. Botzen, W. W., &
    3. Blasch, J. E.

    (2022). After the virtual flood: Risk perceptions and flood preparedness after virtual reality risk communication. Judgment and Decision Making, 17(1), 189–214.

    OpenUrl
39. National Hurricane Center. (2020). Historical hurricane tracks. Retrieved from https://coast.noaa.gov/hurricanes
40. 1. Netusil, N. R.,
    2. Kousky, C.,
    3. Neupane, S.,
    4. Daniel, W., &
    5. Kunreuther, H.

    (2021, February). The Willingness to Pay for Flood Insurance. Land Economics, 97(1), 17–38. Retrieved 2023-05-11, from https://le.uwpress.org/content/97/1/17 (Publisher: University of Wisconsin Press Section: Articles) doi: 10.3368/wple.97.1.110819-0160R1

    OpenUrlAbstract/FREE Full Text
41. NOAA. (2020a). Billion-dollar weather and climate disasters. Retrieved from https://www.ncdc.noaa.gov/billions
42. NOAA. (2020b). Tropical cyclone climatology. Retrieved from https://www.nhc.noaa.gov/climo/#returns
43. 1. Oubennaceur, K.,
    2. Chokmani, K.,
    3. El Alem, A., &
    4. Gauthier, Y.

    (2021). Flood risk communication using arcgis storymaps. Hydrology, 8(4), 152.

    OpenUrl
44. 1. Prelec, D.

    (1998). The probability weighting function. Econometrica, 66(3), 497–528.

    OpenUrlCrossRefWeb of Science
45. 1. Royal, A., &
    2. Walls, M.

    (2019). Flood risk perceptions and insurance choice: Do decisions in the floodplain reflect overoptimism? Risk Analysis, 39(5), 1088–1104. doi: 10.1111/risa.13240

    OpenUrlCrossRef
46. 1. Ruin, I.,
    2. Gaillard, J.-C., &
    3. Lutoff, C.

    (2007). How to get there? assessing motorists’ flash flood risk perception on daily itineraries. Environmental Hazards, 7(3), 235–244. Retrieved from https://www.tandfonline.com/doi/abs/10.1016/j.envhaz.2007.07.005 doi: 10.1016/j.envhaz.2007.07.005

    OpenUrlCrossRef
47. 1. Salman, A. M., &
    2. Li, Y.

    (2018). Flood risk assessment, future trend modeling, and risk communication: a review of ongoing research. Natural Hazards Review, 19(3), 04018011.

    OpenUrl
48. 1. Siegrist, M., &
    2. Gutscher, H.

    (2006). Flooding risks: A comparison of lay people’s perceptions and expert’s assessments in switzerland. Risk Analysis, 26(4), 971–979. Retrieved from https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1539-6924.2006.00792.x doi: https://doi.org/10.1111/j.1539-6924.2006.00792.x

    OpenUrlCrossRefPubMedWeb of Science
49. 1. Slovic, P.

    (2010). The feeling of risk: New perspectives on risk perception. Routledge.
50. 1. Tversky, A., &
    2. Kahneman, D.

    (1992). Advances in prsopect theory: Cumulative representation of uncertainty. Journal of Risk and Uncertainty, 5, 297–323.

    OpenUrlCrossRefWeb of Science
51. 1. Wing, O. E. J.,
    2. Bates, P. D.,
    3. Smith, A. M.,
    4. Sampson, C. C.,
    5. Johnson, K. A.,
    6. Fargione, J., &
    7. Morefield, P.

    (2018, feb). Estimates of present and future flood risk in the conterminous united states. Environmental Research Letters, 13(3), 034023. Retrieved from https://doi.org/10.1088\%2F1748-9326\%2Faaac65 doi: 10.1088/1748-9326/aaac65

    OpenUrlCrossRef