IDEAS home Printed from https://ideas.repec.org/a/wly/riskan/v33y2013i12p2092-2110.html
   My bibliography  Save this article

Quantifying Riverine and Storm‐Surge Flood Risk by Single‐Family Residence: Application to Texas

Author

Listed:
  • Jeffrey Czajkowski
  • Howard Kunreuther
  • Erwann Michel‐Kerjan

Abstract

The development of catastrophe models in recent years allows for assessment of the flood hazard much more effectively than when the federally run National Flood Insurance Program (NFIP) was created in 1968. We propose and then demonstrate a methodological approach to determine pure premiums based on the entire distribution of possible flood events. We apply hazard, exposure, and vulnerability analyses to a sample of 300,000 single‐family residences in two counties in Texas (Travis and Galveston) using state‐of‐the‐art flood catastrophe models. Even in zones of similar flood risk classification by FEMA there is substantial variation in exposure between coastal and inland flood risk. For instance, homes in the designated moderate‐risk X500/B zones in Galveston are exposed to a flood risk on average 2.5 times greater than residences in X500/B zones in Travis. The results also show very similar average annual loss (corrected for exposure) for a number of residences despite their being in different FEMA flood zones. We also find significant storm‐surge exposure outside of the FEMA designated storm‐surge risk zones. Taken together these findings highlight the importance of a microanalysis of flood exposure. The process of aggregating risk at a flood zone level—as currently undertaken by FEMA—provides a false sense of uniformity. As our analysis indicates, the technology to delineate the flood risks exists today.

Suggested Citation

  • Jeffrey Czajkowski & Howard Kunreuther & Erwann Michel‐Kerjan, 2013. "Quantifying Riverine and Storm‐Surge Flood Risk by Single‐Family Residence: Application to Texas," Risk Analysis, John Wiley & Sons, vol. 33(12), pages 2092-2110, December.
  • Handle: RePEc:wly:riskan:v:33:y:2013:i:12:p:2092-2110
    DOI: 10.1111/risa.12068
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/risa.12068
    Download Restriction: no

    File URL: https://libkey.io/10.1111/risa.12068?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Erwann O. Michel‐Kerjan & Carolyn Kousky, 2010. "Come Rain or Shine: Evidence on Flood Insurance Purchases in Florida," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 77(2), pages 369-397, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Andrew Royal & Margaret Walls, 2019. "Flood Risk Perceptions and Insurance Choice: Do Decisions in the Floodplain Reflect Overoptimism?," Risk Analysis, John Wiley & Sons, vol. 39(5), pages 1088-1104, May.
    2. Marilyn Montgomery & Howard Kunreuther, 2018. "Pricing Storm Surge Risks in Florida: Implications for Determining Flood Insurance Premiums and Evaluating Mitigation Measures," Risk Analysis, John Wiley & Sons, vol. 38(11), pages 2275-2299, November.
    3. J. Bradley Karl & Lorilee A. Medders & Patrick F. Maroney, 2016. "The Effects of Revealed Information on Catastrophe Loss Projection Models’ Characterization of Risk: Damage Vulnerability Evidence from Florida," Risk Analysis, John Wiley & Sons, vol. 36(6), pages 1224-1250, June.
    4. Meri Davlasheridze & Qing Miao, 2019. "Does Governmental Assistance Affect Private Decisions to Insure? An Empirical Analysis of Flood Insurance Purchases," Land Economics, University of Wisconsin Press, vol. 95(1), pages 124-145.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Céline Grislain-Letrémy & Bertrand Villeneuve, 2019. "Natural disasters, land-use, and insurance," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 44(1), pages 54-86, March.
    2. Shi-jie Jiang & Feiyun Xiang & Iris Yang, 2023. "Effect of Prevention Focus on the Relationships Among Driving Accident History, Risk Perception, and Consumers’ Automobile Insurance Coverage Decisions," SAGE Open, , vol. 13(3), pages 21582440231, July.
    3. Ginger Turner & Farah Said & Uzma Afzal, 2014. "Microinsurance Demand After a Rare Flood Event: Evidence From a Field Experiment in Pakistan," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 39(2), pages 201-223, April.
    4. Mark Browne & Christian Knoller & Andreas Richter, 2015. "Behavioral bias and the demand for bicycle and flood insurance," Journal of Risk and Uncertainty, Springer, vol. 50(2), pages 141-160, April.
    5. Erwann Michel-Kerjan, 2013. "Finance des risques catastrophiques. Le marché américain est en plein bouleversement," Revue économique, Presses de Sciences-Po, vol. 64(4), pages 615-634.
    6. Craig E. Landry & Dylan Turner & Daniel Petrolia, 2021. "Flood Insurance Market Penetration and Expectations of Disaster Assistance," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(2), pages 357-386, June.
    7. Craig E. Landry & Mohammad R. Jahan‐Parvar, 2011. "Flood Insurance Coverage in the Coastal Zone," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 78(2), pages 361-388, June.
    8. Céline Grislain-Letrémy & Bertrand Villeneuve, 2011. "Natural and Industrial Disasters : Land Use and Insurance," Working Papers 2011-32, Center for Research in Economics and Statistics.
    9. Amorim, Guilherme & Lima, Rafael Costa & Sampaio, Breno, 2022. "Broadband internet and protests: Evidence from the Occupy movement," Information Economics and Policy, Elsevier, vol. 60(C).
    10. Welsch, David M. & Winden, Matthew W. & Zimmer, David M., 2022. "The effect of flood mitigation spending on flood damage: Accounting for dynamic feedback," Ecological Economics, Elsevier, vol. 192(C).
    11. Howard Kunreuther & Mark Pauly, 2022. "Do people have a bias for low deductible insurance?," Journal of Risk and Uncertainty, Springer, vol. 64(1), pages 1-17, February.
    12. James R. Meldrum, 2016. "Floodplain Price Impacts by Property Type in Boulder County, Colorado: Condominiums Versus Standalone Properties," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 64(4), pages 725-750, August.
    13. Daniel R. Petrolia & Craig E. Landry & Keith H. Coble, 2013. "Risk Preferences, Risk Perceptions, and Flood Insurance," Land Economics, University of Wisconsin Press, vol. 89(2), pages 227-245.
    14. Liu, Xian & Noonan, Douglas, 2022. "Building underwater: Effects of community-scale flood management on housing development," Journal of Housing Economics, Elsevier, vol. 57(C).
    15. Eoin O'Neill & Finbarr Brereton & Harutyun Shahumyan & J. Peter Clinch, 2016. "The Impact of Perceived Flood Exposure on Flood‐Risk Perception: The Role of Distance," Risk Analysis, John Wiley & Sons, vol. 36(11), pages 2158-2186, November.
    16. Terry Dinan & Perry Beider & David Wylie, 2019. "The National Flood Insurance Program: Is It Financially Sound?," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 22(1), pages 15-38, March.
    17. Swenja Surminski & Paul Hudson & Jeroen Aerts & Wouter Botzen & M.Conceição Colaço & Florence Crick & Jill Eldridge & Anna Lorant & António Macedo & Reinhard Mechler & Carlos Neto & Robin Nicolai & Di, 2015. "Novel and improved insurance instruments for risk reduction," GRI Working Papers 188, Grantham Research Institute on Climate Change and the Environment.
    18. Koen de Koning & Tatiana Filatova & Okmyung Bin, 2019. "Capitalization of Flood Insurance and Risk Perceptions in Housing Prices: An Empirical Agent‐Based Model Approach," Southern Economic Journal, John Wiley & Sons, vol. 85(4), pages 1159-1179, April.
    19. Justin Gallagher & Daniel Hartley, 2017. "Household Finance after a Natural Disaster: The Case of Hurricane Katrina," American Economic Journal: Economic Policy, American Economic Association, vol. 9(3), pages 199-228, August.
    20. Fujii, Yoichiro & Okura, Mahito & Osaki, Yusuke, 2021. "Is insurance normal or inferior? -A regret theoretical approach-," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:riskan:v:33:y:2013:i:12:p:2092-2110. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1539-6924 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.