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Community-level Flood Mitigation Effects on Household Flood Insurance and Damage Claims

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  • Frimpong, Eugene
  • Petrolia, Daniel

Abstract

The Community Rating System (CRS) was introduced to encourage flood mitigation and increase participation in the National Flood Insurance Program (NFIP). In exchange for undertaking community-level mitigation activities, community residents earn discounts on their flood insurance policies. Little is known, however, about the relative role of specific mitigation activities on NFIP participation (i.e., policies-in-force) and damage claims. Using community-level panel data on policies-in-force, flood insured damage claims and CRS mitigation activities for the period (1998-2013) for the states of Alabama and Mississippi, we examine the effect of individual mitigation activities on both NFIP policies-in-force and damage claims across communities. We also estimate the average effect of community’s participation in the CRS program on NFIP policies-in-force and insured damage claims. We do so while controlling for key geospatial and demographic characteristics. Results are expected to provide guidance in terms of which CRS mitigation activities have the greatest impact on improving NFIP participation and damage reduction.

Suggested Citation

  • 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.
    • Handle: RePEc:ags:saea16:230129
    DOI: 10.22004/ag.econ.230129
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    1. Wagner, Joachim, 2002. "The causal effects of exports on firm size and labor productivity: first evidence from a matching approach," Economics Letters, Elsevier, vol. 77(2), pages 287-292, October.
    2. Kosuke Imai & David A. van Dyk, 2004. "Causal Inference With General Treatment Regimes: Generalizing the Propensity Score," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 854-866, January.
    3. Gruber, Jonathan, 1994. "The Incidence of Mandated Maternity Benefits," American Economic Review, American Economic Association, vol. 84(3), pages 622-641, June.
    4. 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.
    5. 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.
    6. Browne, Mark J & Hoyt, Robert E, 2000. "The Demand for Flood Insurance: Empirical Evidence," Journal of Risk and Uncertainty, Springer, vol. 20(3), pages 291-306, May.
    7. Barbara Sianesi, 2001. "Propensity score matching," United Kingdom Stata Users' Group Meetings 2001 12, Stata Users Group, revised 23 Aug 2001.
    8. 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.
    9. 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.
    10. Ben B. Hansen, 2004. "Full Matching in an Observational Study of Coaching for the SAT," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 609-618, January.
    11. 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.
    12. 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.
    13. 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.
    14. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    15. Yasar, Mahmut & Rejesus, Roderick M., 2005. "Exporting status and firm performance: Evidence from a matched sample," Economics Letters, Elsevier, vol. 88(3), pages 397-402, September.
    16. 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.
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    Cited by:

    1. 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.
    2. 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.

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    Environmental Economics and Policy; Risk and Uncertainty;

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