IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v40y2007i2p463-483.html
   My bibliography  Save this article

Local housing price index analysis in wind-disaster-prone areas

Author

Listed:
  • Bradley Ewing
  • Jamie Kruse
  • Yongsheng Wang

Abstract

This study examines the effect of severe wind events on the mean and variance of housing price indices of six metropolitan statistical areas (MSA) that are vulnerable to hurricanes and/or tornadoes. The research focuses on three areas that experienced significant tornado activity (Fort Worth-Arlington, Nashville, and Oklahoma City) and three hurricane-prone areas (Corpus Christi, Miami, and Wilmington, NC). An econometric time series model that captures the housing market responses to severe windstorms is utilized. The model estimates changes in the local housing price index (HPI) as a function of several control variables as well as dichotomous variables that correspond to the tornadoes and hurricanes. As expected, the statistical findings indicate an immediate but short-lived decline in housing prices following a tornado or hurricane. Somewhat surprising is the result that the impact on the housing market is remarkably consistent whether the wind event was a hurricane or a tornado. Hurricanes and tornadoes are vastly different in terms of the point probabilities of a hit, the scope of the affected area and the lead time that supports last minute preparation to mitigate damage. It appears that the market response to destruction of real property does not distinguish between the types of wind event that produced the damage to the region. Results suggest that windstorms result in an immediate one-half to two percent reduction in total MSA housing value. This corresponds to a range of $34 million to $580 million in lost housing value. Estimates indicate some differences in how long market values continue to decline in the periods following the wind event; however, most of the decline occurs within four quarters after the windstorm. These differences can be attributed to the particular time series characteristics of the specific housing markets and their respective housing price indices. The market serves the purpose of integrating and normalizing the losses. In so doing the market provides a metric— a method for calibrating and comparing structural damage caused by different phenomenon. Copyright Springer Science+Business Media B.V. 2007

Suggested Citation

  • Bradley Ewing & Jamie Kruse & Yongsheng Wang, 2007. "Local housing price index analysis in wind-disaster-prone areas," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 40(2), pages 463-483, February.
  • Handle: RePEc:spr:nathaz:v:40:y:2007:i:2:p:463-483
    DOI: 10.1007/s11069-006-9005-1
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11069-006-9005-1
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11069-006-9005-1?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Paulo Guimaraes & Frank L. Hefner & Douglas P. Woodward, 1993. "Wealth And Income Effects Of Natural Disasters: An Econometric Analysis Of Hurricane Hugo," The Review of Regional Studies, Southern Regional Science Association, vol. 23(2), pages 97-114, Fall.
    2. Case, Karl E & Shiller, Robert J, 1989. "The Efficiency of the Market for Single-Family Homes," American Economic Review, American Economic Association, vol. 79(1), pages 125-137, March.
    3. Fergus, James T, 1999. "Where, When, and by How Much Does Abnormal Weather Affect Housing Construction?," The Journal of Real Estate Finance and Economics, Springer, vol. 18(1), pages 63-87, January.
    4. James C. Murdoch & Harinder Singh & Mark Thayer, 1993. "The Impact of Natural Hazards on Housing Values: The Loma Prieta Earthquake," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 21(2), pages 167-184, June.
    5. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
    6. David M. Harrison & Greg T. Smersh & Arthur L. Schwartz, Jr, 2001. "Environmental Determinants of Housing Prices: The Impact of Flood Zone Status," Journal of Real Estate Research, American Real Estate Society, vol. 21(1/2), pages 3-20.
    7. Kevin M. Simmons & Jamie Brown Kruse, 2000. "Market Value of Mitigation and Perceived Risk: Empirical Results," Journal of Economic Insight, Missouri Valley Economic Association, vol. 26(1), pages 41-51.
    8. Kevin M. Simmons & Jamie Brown Kruse & Douglas A. Smith, 2002. "Valuing Mitigation: Real Estate Market Response to Hurricane Loss Reduction Measures," Southern Economic Journal, John Wiley & Sons, vol. 68(3), pages 660-671, January.
    9. Bradley T. Ewing & Jamie Brown Kruse, 2002. "The Impact of Project Impact on the Wilmington, North Carolina, Labor Market," Public Finance Review, , vol. 30(4), pages 296-309, July.
    10. N. Edward Coulson & Christian Richard, 1996. "The Dynamic Impact of Unseasonable Weather on Construction Activity," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 24(2), pages 179-194.
    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. Daniel J. Pastor & Bradley T. Ewing, 2022. "VEC model of water infrastructure in Los Angeles: implications for community resilience and recovery," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(1), pages 629-643, October.
    2. William F. Chappell & Richard G. Forgette & David A. Swanson & Mark V. Van Boening, 2007. "Determinants of Government Aid to Katrina Survivors: Evidence from Survey Data," Southern Economic Journal, Southern Economic Association, vol. 74(2), pages 344-362, October.
    3. Sutter Daniel & Ewing Bradley T., 2016. "State of Knowledge of Economic Value of Current and Improved Hurricane Forecasts," Journal of Business Valuation and Economic Loss Analysis, De Gruyter, vol. 11(1), pages 45-64, June.
    4. Seung Kyum Kim & James K. Hammitt, 2022. "Hurricane risk perceptions and housing market responses: the pricing effects of risk-perception factors and hurricane characteristics," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(3), pages 3743-3761, December.
    5. repec:rre:publsh:v:40:y:2010:i:3:p:273-286 is not listed on IDEAS
    6. Bradley T. Ewing & Daan Liang & Yuepeng Cui, 2014. "A Time Series Approach to Examining Regional Economic Resiliency to Hurricanes," American Journal of Economics and Sociology, Wiley Blackwell, vol. 73(2), pages 369-391, April.
    7. Seung Kyum Kim, 2020. "The Economic Effects of Climate Change Adaptation Measures: Evidence from Miami-Dade County and New York City," Sustainability, MDPI, vol. 12(3), pages 1-19, February.
    8. Kevin Simmons & Daniel Sutter, 2007. "Tornado shelters and the manufactured home parks market," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 43(3), pages 365-378, December.
    9. William F. Chappell & Richard G. Forgette & David A. Swanson & Mark V. Van Boening, 2007. "Determinants of Government Aid to Katrina Survivors: Evidence from Survey Data," Southern Economic Journal, John Wiley & Sons, vol. 74(2), pages 344-362, October.
    10. Bradley T. Ewing & Jamie Brown Kruse & Dan Sutter, 2007. "Hurricanes and Economic Research: An Introduction to the Hurricane Katrina Symposium," Southern Economic Journal, John Wiley & Sons, vol. 74(2), pages 315-325, October.
    11. William F. Chappell & Richard G. Forgette & David A. Swanson & Mark V. Van Boening, 2007. "Determinants of Government Aid to Katrina Survivors: Evidence from Survey Data," Southern Economic Journal, John Wiley & Sons, vol. 74(2), pages 344-362, October.
    12. Cheung, Ron & Wetherell, Daniel & Whitaker, Stephan, 2018. "Induced earthquakes and housing markets: Evidence from Oklahoma," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 153-166.
    13. Donadelli, M. & Jüppner, M. & Paradiso, A. & Ghisletti, M., 2020. "Tornado activity, house prices, and stock returns," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).

    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. Bradley T. Ewing & Jamie Brown Kruse & Dan Sutter, 2007. "Hurricanes and Economic Research: An Introduction to the Hurricane Katrina Symposium," Southern Economic Journal, John Wiley & Sons, vol. 74(2), pages 315-325, October.
    2. Sutter Daniel & Ewing Bradley T., 2016. "State of Knowledge of Economic Value of Current and Improved Hurricane Forecasts," Journal of Business Valuation and Economic Loss Analysis, De Gruyter, vol. 11(1), pages 45-64, June.
    3. John Whitehead & Adam Rose, 2009. "Estimating environmental benefits of natural hazard mitigation with data transfer: results from a benefit-cost analysis of Federal Emergency Management Agency hazard mitigation grants," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 14(7), pages 655-676, October.
    4. Suryanto & Mudrajad Kuncoro & Junun Sartohadi, 2012. "Physical characteristics and disaster risk perception correlation at Bantul regency," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 4(1), pages 76-86, April.
    5. de Koning, Koen & Filatova, Tatiana & Bin, Okmyung, 2017. "Bridging the Gap Between Revealed and Stated Preferences in Flood-prone Housing Markets," Ecological Economics, Elsevier, vol. 136(C), pages 1-13.
    6. Davis, E. Philip & Zhu, Haibin, 2011. "Bank lending and commercial property cycles: Some cross-country evidence," Journal of International Money and Finance, Elsevier, vol. 30(1), pages 1-21, February.
    7. Ti-Ching Peng, 2021. "The effect of hazard shock and disclosure information on property and land prices: a machine-learning assessment in the case of Japan," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 41(1), pages 1-32, February.
    8. Bulan, Laarni & Mayer, Christopher & Somerville, C. Tsuriel, 2009. "Irreversible investment, real options, and competition: Evidence from real estate development," Journal of Urban Economics, Elsevier, vol. 65(3), pages 237-251, May.
    9. Mense, Andreas, 2020. "The Impact of New Housing Supply on the Distribution of Rents," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224569, Verein für Socialpolitik / German Economic Association.
    10. John Talberth & Robert P. Berrens & Michael Mckee & Michael Jones, 2006. "Averting And Insurance Decisions In The Wildland–Urban Interface: Implications Of Survey And Experimental Data For Wildfire Risk Reduction Policy," Contemporary Economic Policy, Western Economic Association International, vol. 24(2), pages 203-223, April.
    11. Alberto Plazzi & Walter Torous & Rossen Valkanov, 2008. "The Cross‐Sectional Dispersion of Commercial Real Estate Returns and Rent Growth: Time Variation and Economic Fluctuations," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 36(3), pages 403-439, September.
    12. Joseph T. L. Ooi & Thao T. T. Le, 2012. "New Supply and Price Dynamics in the Singapore Housing Market," Urban Studies, Urban Studies Journal Limited, vol. 49(7), pages 1435-1451, May.
    13. Greenberg, Michael & Mantell, Nancy & Lahr, Michael & Felder, Frank & Zimmerman, Rae, 2007. "Short and intermediate economic impacts of a terrorist-initiated loss of electric power: Case study of New Jersey," Energy Policy, Elsevier, vol. 35(1), pages 722-733, January.
    14. Jiazhen Peng & Xiaojun Shan & Yang Gao & Yohannes Kesete & Rachel Davidson & Linda Nozick & Jamie Kruse, 2014. "Modeling the integrated roles of insurance and retrofit in managing natural disaster risk: a multi-stakeholder perspective," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 74(2), pages 1043-1068, November.
    15. Michael R. Greenberg & Michael Lahr & Nancy Mantell, 2007. "Understanding the Economic Costs and Benefits of Catastrophes and Their Aftermath: A Review and Suggestions for the U.S. Federal Government," Risk Analysis, John Wiley & Sons, vol. 27(1), pages 83-96, February.
    16. Chiang Hsieh, Lin-Han, 2021. "Is it the flood, or the disclosure? An inquiry to the impact of flood risk on residential housing prices," Land Use Policy, Elsevier, vol. 106(C).
    17. Ball, Michael & Meen, Geoffrey & Nygaard, Christian, 2010. "Housing supply price elasticities revisited: Evidence from international, national, local and company data," Journal of Housing Economics, Elsevier, vol. 19(4), pages 255-268, December.
    18. Mense, Andreas, 2023. "Secondary housing supply," LSE Research Online Documents on Economics 118645, London School of Economics and Political Science, LSE Library.
    19. George H. Lentz & Ko Wang, 1998. "Residential Appraisal and the Lending Process: A Survey of Issues," Journal of Real Estate Research, American Real Estate Society, vol. 15(1), pages 11-40.
    20. Patrick Gourley, 2019. "Social Stigma and Asset Value," Southern Economic Journal, John Wiley & Sons, vol. 85(3), pages 919-938, January.

    More about this item

    Keywords

    Housing prices; Tornado; Hurricane; Wind; Q540; R310; R210; C220;
    All these keywords.

    JEL classification:

    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:spr:nathaz:v:40:y:2007:i:2:p:463-483. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.