IDEAS home Printed from https://ideas.repec.org/p/fip/feddwp/1009.html

The impact of hurricanes on housing prices: evidence from U.S. coastal cities

Author

Abstract

We investigate the effect of hurricane strikes on housing prices in U.S. coastal cities. To this end, we construct a new index of hurricane destruction which varies over time and space. Using this index and an annual, two equation, dynamic equilibrium correction panel model with area and time fixed effects, we model the effects of hurricanes on real house process and real incomes. In our model hurricanes have a direct effect on house prices and an indirect effect via a fall in local incomes. Our results show that the typical hurricane strike raises real house prices for a number of years, with a maximum effect of between 3 % to 4 % three years after occurrence. There is also a small negative effect on real incomes. These results are stable across models and subsamples.

Suggested Citation

  • Anthony Murphy & Eric Strobl, 2010. "The impact of hurricanes on housing prices: evidence from U.S. coastal cities," Working Papers 1009, Federal Reserve Bank of Dallas.
    • Handle: RePEc:fip:feddwp:1009
    as

    Download full text from publisher

    File URL: https://www.dallasfed.org/~/media/documents/research/papers/2010/wp1009.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    2. Ariel R. Belasen & Solomon W. Polachek, 2008. "How Hurricanes Affect Wages and Employment in Local Labor Markets," American Economic Review, American Economic Association, vol. 98(2), pages 49-53, May.
    3. Ewing Bradley T. & Kruse Jamie Brown & Sutter Daniel, 2009. "An Overview of Hurricane Katrina and Economic Loss," Journal of Business Valuation and Economic Loss Analysis, De Gruyter, vol. 4(2), pages 1-14, April.
    4. Malpezzi, Stephen, 1999. "A Simple Error Correction Model of House Prices," Journal of Housing Economics, Elsevier, vol. 8(1), pages 27-62, March.
    5. Dennis R. Capozza & Patric H. Hendershott & Charlotte Mack, 2004. "An Anatomy of Price Dynamics in Illiquid Markets: Analysis and Evidence from Local Housing Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 32(1), pages 1-32, March.
    6. Jared Carbone & Daniel Hallstrom & V. Smith, 2006. "Can Natural Experiments Measure Behavioral Responses to Environmental Risks?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 33(3), pages 273-297, March.
    7. Eric Strobl, 2011. "The Economic Growth Impact of Hurricanes: Evidence from U.S. Coastal Counties," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 575-589, May.
    8. Dakshina Silva & Jamie Kruse & Yongsheng Wang, 2008. "Spatial dependencies in wind-related housing damage," 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. 47(3), pages 317-330, December.
    9. William D. Nordhaus, 2006. "The Economics of Hurricanes in the United States," NBER Working Papers 12813, National Bureau of Economic Research, Inc.
    10. Belasen, Ariel R. & Polachek, Solomon, 2008. "How Hurricanes Affect Employment and Wages in Local Labor Markets," IZA Discussion Papers 3407, IZA Network @ LISER.
    11. Joshua Gallin, 2006. "The Long-Run Relationship between House Prices and Income: Evidence from Local Housing Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 34(3), pages 417-438, September.
    12. repec:liv:livedp:1999_04 is not listed on IDEAS
    13. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    14. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    15. Speyrer, Janet Furman & Ragas, Wade R, 1991. "Housing Prices and Flood Risk: An Examination Using Spline Regression," The Journal of Real Estate Finance and Economics, Springer, vol. 4(4), pages 395-407, December.
    16. Hallstrom, Daniel G. & Smith, V. Kerry, 2005. "Market responses to hurricanes," Journal of Environmental Economics and Management, Elsevier, vol. 50(3), pages 541-561, November.
    17. Okmyung Biny & Stephen Polasky, 2004. "Effects of Flood Hazards on Property Values: Evidence Before and After Hurricane Floyd," Land Economics, University of Wisconsin Press, vol. 80(4).
    18. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    19. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
    20. Jacob Vigdor, 2008. "The Economic Aftermath of Hurricane Katrina," Journal of Economic Perspectives, American Economic Association, vol. 22(4), pages 135-154, Fall.
    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. 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.
    2. Klaiber, H. Allen, 2014. "Migration and household adaptation to climate: A review of empirical research," Energy Economics, Elsevier, vol. 46(C), pages 539-547.
    3. Deryugina, Tatyana, 2011. "The Role of Transfer Payments in Mitigating Shocks: Evidence From the Impact of Hurricanes," MPRA Paper 53307, University Library of Munich, Germany, revised 08 Aug 2013.
    4. Tobias Sytsma, 2020. "The Impact of Hurricanes on Trade and Welfare: Evidence from US Port-level Exports," Economics of Disasters and Climate Change, Springer, vol. 4(3), pages 625-655, October.
    5. Clinton J. Andrews, 2020. "Toward a research agenda on climate‐related migration," Journal of Industrial Ecology, Yale University, vol. 24(2), pages 331-341, April.
    6. Graff Zivin, Joshua & Liao, Yanjun & Panassié, Yann, 2023. "How hurricanes sweep up housing markets: Evidence from Florida," Journal of Environmental Economics and Management, Elsevier, vol. 118(C).
    7. 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.
    8. Ann-Margaret Esnard & Alka Sapat & Diana Mitsova, 2011. "An index of relative displacement risk to hurricanes," 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. 59(2), pages 833-859, November.
    9. 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. 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).
    2. Vyacheslav Mikhed & Petr Zemčík, 2009. "Testing for Bubbles in Housing Markets: A Panel Data Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 38(4), pages 366-386, May.
    3. Vyacheslav Mikhed & Petr Zemcik, 2007. "Testing for Bubbles in Housing Markets: A Panel Data Approach," CERGE-EI Working Papers wp338, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    4. Aiba, Ikuto & Hasegawa, Daisuke, 2025. "The impact of flooding on real estate transactions in densely populated areas: Evidence from the 2019 Typhoon Hagibis in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 76(C).
    5. Holly, Sean & Pesaran, M. Hashem & Yamagata, Takashi, 2010. "A spatio-temporal model of house prices in the USA," Journal of Econometrics, Elsevier, vol. 158(1), pages 160-173, September.
    6. IKM Mokhtarul Wadud & Omar H. M. N. Bashar & Huson Joher Ali Ahmed & William Dimovski, 2022. "Property price dynamics and asymmetric effects of economic policy uncertainty: New evidence from the Australian capital cities," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(4), pages 4359-4380, December.
    7. Ivan Petkov, 2022. "Weather Shocks, Population, and Housing Prices: the Role of Expectation Revisions," Economics of Disasters and Climate Change, Springer, vol. 6(3), pages 495-540, November.
    8. Cem Ertur & Antonio Musolesi, 2017. "Weak and Strong Cross‐Sectional Dependence: A Panel Data Analysis of International Technology Diffusion," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 477-503, April.
    9. repec:ere:journl:v:xxxvi:y:2017:i:2:p:185-228 is not listed on IDEAS
    10. László KÓNYA, 2023. "Per Capita Income Convergence and Divergence of Selected OECD Countries to and from the US: A Reappraisal for the period 1900-2018," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 23(1), pages 33-56.
    11. Patrizia Ordine & Giuseppe Rose, 2008. "Local Banks Efficiency and Employment," LABOUR, CEIS, vol. 22(3), pages 469-493, September.
    12. Ronald MacDonald & Flávio Vieira, "undated". "A panel data investigation of real exchange rate misalignment and growth," Working Papers 2010_13, Business School - Economics, University of Glasgow.
    13. Cosmin Enache & Ciprian Pânzaru, 2012. "Romanian Migration Flows In European Countries: Does Social Security Matter?," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 2(14), pages 1-17.
    14. Cristina Brasili & Luciano Gutierrez, 2004. "Regional convergence across European Union," Development and Comp Systems 0402002, University Library of Munich, Germany.
    15. Roberto DELL'ANNO & Stefania VILLA, 2012. "Growth in Transition Countries: Big Bang versus Gradualism," CELPE Discussion Papers 122, CELPE - CEnter for Labor and Political Economics, University of Salerno, Italy.
    16. Taguchi, Hiroyuki & Lar, Ni, 2026. "Servicification in Global Value Chains and Services Trade Restrictions: The Case of Asian Economies," MPRA Paper 128815, University Library of Munich, Germany.
    17. Nagmi Moftah Aimer, 2020. "Renewable energy consumption, financial development and economic growth: Evidence from panel data for the Middle East and North African countries," Economics Bulletin, AccessEcon, vol. 40(3), pages 2058-2072.
    18. Mutlu, Asli & Roy, Debraj & Filatova, Tatiana, 2023. "Capitalized value of evolving flood risks discount and nature-based solution premiums on property prices," Ecological Economics, Elsevier, vol. 205(C).
    19. Dennis Fok & André Stel & Andrew Burke & Roy Thurik, 2019. "How entry crowds and grows markets: the gradual disaster management view of market dynamics in the retail industry," Annals of Operations Research, Springer, vol. 283(1), pages 1111-1138, December.
    20. Eric S. Lin & Hamid E. Ali, 2009. "Military Spending and Inequality: Panel Granger Causality Test," Journal of Peace Research, Peace Research Institute Oslo, vol. 46(5), pages 671-685, September.
    21. Olivier Damette & Mathilde Maurel & Michael A. Stemmer, 2016. "What does it take to grow out of recession? An error-correction approach towards growth convergence of European and transition countries," Post-Print halshs-01318131, HAL.

    More about this item

    Keywords

    ;
    ;

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:fip:feddwp:1009. 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: Amy Chapman (email available below). General contact details of provider: https://edirc.repec.org/data/frbdaus.html .

    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.