IDEAS home Printed from https://ideas.repec.org/p/ags/misswp/254075.html
   My bibliography  Save this paper

Community-level flood mitigation effects on household-level flood insurance and damage claims payments

Author

Listed:
  • Frimpong, Eugene
  • Petrolia, Daniel
  • Harri, Ardian

Abstract

The Community Rating System (CRS) was introduced to encourage community-level flood mitigation and increase household-level National Flood Insurance Program (NFIP) participation. It is not clear, however, if and to what extent community participation in the CRS increases household participation in the NFIP and decreases damage claims payments. We employ genetic matching methods and estimate fixed-effects and Mundlak-style panel regression models that control for key geospatial, socioeconomic, and time effects to isolate the CRS treatment effect on these outcomes. Results show a positive and significant effect of CRS participation on NFIP participation, whereas significant effects on damage claims payments are limited.

Suggested Citation

  • Frimpong, Eugene & Petrolia, Daniel & Harri, Ardian, 2017. "Community-level flood mitigation effects on household-level flood insurance and damage claims payments," Working Papers 254075, Mississippi State University, Department of Agricultural Economics.
  • Handle: RePEc:ags:misswp:254075
    DOI: 10.22004/ag.econ.254075
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/254075/files/Manuscript_March%202017_WP.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.254075?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. Wu, De-Min, 1973. "Alternative Tests of Independence Between Stochastic Regressors and Disturbances," Econometrica, Econometric Society, vol. 41(4), pages 733-750, July.
    2. Daniel R. Petrolia & Joonghyun Hwang & Craig E. Landry & Keith H. Coble, 2015. "Wind Insurance and Mitigation in the Coastal Zone," Land Economics, University of Wisconsin Press, vol. 91(2), pages 272-295.
    3. Ulrich Schmidt & Horst Zank, 2007. "Linear cumulative prospect theory with applications to portfolio selection and insurance demand," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 30(1), pages 1-18, May.
    4. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    5. Warren Kriesel & Craig Landry, 2004. "Participation in the National Flood Insurance Program: An Empirical Analysis for Coastal Properties," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 71(3), pages 405-420, September.
    6. Samuel D. Brody & Sammy Zahran & Wesley E. Highfield & Sarah P. Bernhardt & Arnold Vedlitz, 2009. "Policy Learning for Flood Mitigation: A Longitudinal Assessment of the Community Rating System in Florida," Risk Analysis, John Wiley & Sons, vol. 29(6), pages 912-929, June.
    7. Okmyung Bin & John A. Bishop & Carolyn Kousky, 2012. "Redistributional Effects of the National Flood Insurance Program," Public Finance Review, , vol. 40(3), pages 360-380, May.
    8. 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.
    9. Cummins, J David & Tennyson, Sharon, 1996. "Moral Hazard in Insurance Claiming: Evidence from Automobile Insurance," Journal of Risk and Uncertainty, Springer, vol. 12(1), pages 29-50, January.
    10. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    11. Gruber, Jonathan, 1994. "The Incidence of Mandated Maternity Benefits," American Economic Review, American Economic Association, vol. 84(3), pages 622-641, June.
    12. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    13. 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.
    14. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    15. 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.
    16. Ravallion, Martin & Chen, Shaohua, 2005. "Hidden impact? Household saving in response to a poor-area development project," Journal of Public Economics, Elsevier, vol. 89(11-12), pages 2183-2204, December.
    17. Barbara Sianesi, 2001. "Propensity score matching," United Kingdom Stata Users' Group Meetings 2001 12, Stata Users Group, revised 23 Aug 2001.
    18. Keith H. Coble & Thomas O. Knight & Rulon D. Pope & Jeffery R. Williams, 1996. "Modeling Farm-Level Crop Insurance Demand with Panel Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 439-447.
    19. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    20. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    21. Carpenter, Christopher, 2004. "How do Zero Tolerance Drunk Driving Laws work?," Journal of Health Economics, Elsevier, vol. 23(1), pages 61-83, January.
    22. Alexis Diamond & Jasjeet S. Sekhon, 2013. "Genetic Matching for Estimating Causal Effects: A General Multivariate Matching Method for Achieving Balance in Observational Studies," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 932-945, July.
    23. Samuel Brody & Jung Kang & Sarah Bernhardt, 2010. "Identifying factors influencing flood mitigation at the local level in Texas and Florida: the role of organizational capacity," 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. 52(1), pages 167-184, January.
    24. Vincent H. Smith & Alan E. Baquet, 1996. "The Demand for Multiple Peril Crop Insurance: Evidence from Montana Wheat Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(1), pages 189-201.
    25. Marquis, M. Susan & Long, Stephen H., 1995. "Worker demand for health insurance in the non-group market," Journal of Health Economics, Elsevier, vol. 14(1), pages 47-63, May.
    26. 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. Frimpong, Eugene & Petrolia, Daniel & Harri, Ardian, 2018. "Does the Community Rating System Work? Evidence from Two Gulf Coast States," Working Papers 273014, Mississippi State University, Department of Agricultural Economics.
    2. Frimpong, Eugene & Petrolia, Daniel, 2016. "Community-level Flood Mitigation Effects on Household Flood Insurance and Damage Claims," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230129, Southern Agricultural Economics Association.
    3. Carolyn Kousky & Erwann Michel-Kerjan, 2017. "Examining Flood Insurance Claims in the United States: Six Key Findings," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(3), pages 819-850, September.
    4. 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.
    5. 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.
    6. Chrysovalantis Amountzias, 2018. "The Effects of Competition, Liquidity and Exports on Markups: Evidence from the UK Food and Beverages Sector," Journal of Industry, Competition and Trade, Springer, vol. 18(2), pages 187-208, June.
    7. Craig Landry & Dylan Turner, 2020. "Risk Perceptions and Flood Insurance: Insights from Homeowners on the Georgia Coast," Sustainability, MDPI, vol. 12(24), pages 1-22, December.
    8. William H. Greene & David A. Hensher, 2008. "Modeling Ordered Choices: A Primer and Recent Developments," Working Papers 08-26, New York University, Leonard N. Stern School of Business, Department of Economics.
    9. Ifft, Jennifer & Kuethe, Todd & Morehart, Mitch, 2015. "Does Federal Crop Insurance lead to higher farm debt use? Evidence from the Agricultural Resource Management Survey," Working Papers 250011, Cornell University, Department of Applied Economics and Management.
    10. 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.
    11. Nola Agha, 2013. "The Economic Impact of Stadiums and Teams," Journal of Sports Economics, , vol. 14(3), pages 227-252, June.
    12. 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).
    13. 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.
    14. Carolyn Kousky, 2017. "Disasters as Learning Experiences or Disasters as Policy Opportunities? Examining Flood Insurance Purchases after Hurricanes," Risk Analysis, John Wiley & Sons, vol. 37(3), pages 517-530, March.
    15. Dong Wang & Rachel A. Davidson & Joseph E. Trainor & Linda K. Nozick & Jamie Kruse, 2017. "Homeowner purchase of insurance for hurricane-induced wind and flood 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. 88(1), pages 221-245, August.
    16. Douglas S. Noonan & Xian Liu, 2019. "Heading for the Hills? Effects of Community Flood Management on Local Adaptation to Flood Risks," Southern Economic Journal, John Wiley & Sons, vol. 86(2), pages 800-822, October.
    17. Mona Ahmadiani & Susana Ferreira & Craig E. Landry, 2019. "Flood Insurance and Risk Reduction: Market Penetration, Coverage, and Mitigation in Coastal North Carolina," Southern Economic Journal, John Wiley & Sons, vol. 85(4), pages 1058-1082, April.
    18. Carolyn Kousky, 2018. "Financing Flood Losses: A Discussion of the National Flood Insurance Program," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 21(1), pages 11-32, March.
    19. Bradt, Jacob T. & Kousky, Carolyn & Wing, Oliver E.J., 2021. "Voluntary purchases and adverse selection in the market for flood insurance," Journal of Environmental Economics and Management, Elsevier, vol. 110(C).
    20. Atreya, Ajita & Ferreira, Susana & Michel-Kerjan, Erwann, 2015. "What drives households to buy flood insurance? New evidence from Georgia," Ecological Economics, Elsevier, vol. 117(C), pages 153-161.

    More about this item

    Keywords

    Consumer/Household Economics; Environmental Economics and Policy; Land Economics/Use; Risk and Uncertainty;
    All these keywords.

    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:ags:misswp:254075. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/damssus.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.