IDEAS home Printed from https://ideas.repec.org/a/aea/aejapp/v6y2014i3p206-33.html
   My bibliography  Save this article

Learning about an Infrequent Event: Evidence from Flood Insurance Take-Up in the United States

Author

Listed:
  • Justin Gallagher

Abstract

I examine the learning process that economic agents use to update their expectation of an uncertain and infrequently observed event. I use a new nation-wide panel dataset of large regional floods and flood insurance policies to show that insurance take-up spikes the year after a flood and then steadily declines to baseline. Residents in nonflooded communities in the same television media market increase take-up at one-third the rate of flooded communities. I find that insurance take-up is most consistent with a Bayesian learning model that allows for forgetting or incomplete information about past floods.

Suggested Citation

  • Justin Gallagher, 2014. "Learning about an Infrequent Event: Evidence from Flood Insurance Take-Up in the United States," American Economic Journal: Applied Economics, American Economic Association, vol. 6(3), pages 206-233, July.
    • Handle: RePEc:aea:aejapp:v:6:y:2014:i:3:p:206-33
    Note: DOI: 10.1257/app.6.3.206
    as

    Download full text from publisher

    File URL: http://www.aeaweb.org/articles.php?doi=10.1257/app.6.3.206
    Download Restriction: no
    File URL: http://www.aeaweb.org/aej/app/app/0603/2013-0178_app.pdf
    Download Restriction: no
    File URL: http://www.aeaweb.org/aej/app/data/0603/2013-0178_data.zip
    Download Restriction: no
    File URL: http://www.aeaweb.org/aej/app/ds/0603/2013-0178_ds.zip
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.
    ---><---

    References listed on IDEAS

    as
    1. John M. Abowd & Bryce E. Stephens & Lars Vilhuber & Fredrik Andersson & Kevin L. McKinney & Marc Roemer & Simon Woodcock, 2009. "The LEHD Infrastructure Files and the Creation of the Quarterly Workforce Indicators," NBER Chapters, in: Producer Dynamics: New Evidence from Micro Data, pages 149-230, National Bureau of Economic Research, Inc.
    2. Kunreuther, Howard, 1996. "Mitigating Disaster Losses through Insurance," Journal of Risk and Uncertainty, Springer, vol. 12(2-3), pages 171-187, May.
    3. Jeffrey Groen & Anne Polivka, 2010. "Going home after Hurricane Katrina: Determinants of return migration and changes in affected areas," Demography, Springer;Population Association of America (PAA), vol. 47(4), pages 821-844, November.
    4. Justin Sydnor, 2010. "(Over)insuring Modest Risks," American Economic Journal: Applied Economics, American Economic Association, vol. 2(4), pages 177-199, October.
    5. Henry S. Farber & Robert Gibbons, 1996. "Learning and Wage Dynamics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(4), pages 1007-1047.
    6. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
    7. Raj Chetty, 2006. "A New Method of Estimating Risk Aversion," American Economic Review, American Economic Association, vol. 96(5), pages 1821-1834, December.
    8. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    9. Erwann O. Michel-Kerjan, 2010. "Catastrophe Economics: The National Flood Insurance Program," Journal of Economic Perspectives, American Economic Association, vol. 24(4), pages 165-186, Fall.
    Full references (including those not matched with items on IDEAS)

    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. Benjamin L. Collier & Daniel Schwartz & Howard C. Kunreuther & Erwann O. Michel-Kerjan, 2017. "Risk Preferences in Small and Large Stakes: Evidence from Insurance Contract Decisions," NBER Working Papers 23579, National Bureau of Economic Research, Inc.
    2. Howard Kunreuther & Erwann Michel-Kerjan, 2015. "Demand for fixed-price multi-year contracts: Experimental evidence from insurance decisions," Journal of Risk and Uncertainty, Springer, vol. 51(2), pages 171-194, October.
    3. Keith Marzilli Ericson & Philipp Kircher & Johannes Spinnewijn & Amanda Starc, 2021. "Inferring Risk Perceptions and Preferences Using Choice from Insurance Menus: Theory and Evidence," The Economic Journal, Royal Economic Society, vol. 131(634), pages 713-744.
    4. 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.
    5. Marc A. Ragin & Benjamin L. Collier & Johannes G. Jaspersen, 2021. "The effect of information disclosure on demand for high‐load insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(1), pages 161-193, March.
    6. Peter, Richard, 2021. "Prevention as a Giffen good," Economics Letters, Elsevier, vol. 208(C).
    7. 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.
    8. Jeffrey A. Groen† & Mark J. Kutzbach & Anne E. Polivka‡, 2015. "Storms and Jobs: The Effect of Hurricanes on Individuals’ Employment and Earnings over the Long Term," Working Papers 15-21r, Center for Economic Studies, U.S. Census Bureau.
    9. Raj Chetty & Amy Finkelstein, 2012. "Social Insurance: Connecting Theory to Data," NBER Working Papers 18433, National Bureau of Economic Research, Inc.
    10. Wang, Rui & Luo, Hang (Robin), 2022. "How does financial inclusion affect bank stability in emerging economies?," Emerging Markets Review, Elsevier, vol. 51(PA).
    11. S. Surminski & J. Aerts & W. Botzen & P. Hudson & J. Mysiak & C. Pérez-Blanco, 2015. "Reflections on the current debate on how to link flood insurance and disaster risk reduction in the European Union," 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. 79(3), pages 1451-1479, December.
    12. 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.
    13. J. Francois Outreville, 2014. "Risk Aversion, Risk Behavior, and Demand for Insurance: A Survey," Journal of Insurance Issues, Western Risk and Insurance Association, vol. 37(2), pages 158-186.
    14. Benjamin L. Collier & Daniel Schwartz & Howard C. Kunreuther & Erwann O. Michel‐Kerjan, 2022. "Insuring large stakes: A normative and descriptive analysis of households' flood insurance coverage," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(2), pages 273-310, June.
    15. 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.
    16. Jeffrey A. Groen & Mark J. Kutzbach & Anne E. Polivka, 2020. "Storms and Jobs: The Effect of Hurricanes on Individuals’ Employment and Earnings over the Long Term," Journal of Labor Economics, University of Chicago Press, vol. 38(3), pages 653-685.
    17. Joshua D. Angrist & Sydnee Caldwell & Jonathan V. Hall, 2017. "Uber vs. Taxi: A Driver’s Eye View," NBER Working Papers 23891, National Bureau of Economic Research, Inc.
    18. David Card & Ana Rute Cardoso, 2012. "Can Compulsory Military Service Raise Civilian Wages? Evidence from the Peacetime Draft in Portugal," American Economic Journal: Applied Economics, American Economic Association, vol. 4(4), pages 57-93, October.
    19. Daniel Parent, 1999. "Methods of Pay and Earnings: A Longitudinal Analysis," ILR Review, Cornell University, ILR School, vol. 53(1), pages 71-86, October.
    20. Kevin F. Hallock, 2013. "Data Improvement and Labor Economics," Journal of Labor Economics, University of Chicago Press, vol. 31(S1), pages 1-16.

    More about this item

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

    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:aea:aejapp:v:6:y:2014:i:3:p:206-33. 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: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.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.