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Natural disasters and governmental aid: Is there a charity hazard?

Author

Listed:
  • Andor, Mark
  • Osberghaus, Daniel
  • Simora, Michael
Abstract
In the aftermath of natural disasters, governments frequently provide financial aid for affected households. This policy can have adverse effects if individuals anticipate it and forgo private precaution measures. While theoretical literature unequivocally suggests this so called "charity hazard", empirical studies yield ambiguous results. Drawing on rich survey data from German homeowners, we analyze charity hazard for different flood precaution strategies, namely insurance uptake and non-financial protection measures, and different flood risk areas. Our results indicate a substantial charity hazard in the insurance market for individuals residing in flood-prone areas. In contrast, we find a positive correlation between governmental aid and non-financial protection measures. Moreover, our results suggest that insurance and non-financial protection measures are rather complements than substitutes. Finally, we provide suggestive evidence that status-quo bias might play an important role for insurance uptake.

Suggested Citation

  • Andor, Mark & Osberghaus, Daniel & Simora, Michael, 2017. "Natural disasters and governmental aid: Is there a charity hazard?," ZEW Discussion Papers 17-065, ZEW - Leibniz Centre for European Economic Research.
  • Handle: RePEc:zbw:zewdip:17065
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    References listed on IDEAS

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    1. 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.
    2. Kousky, Carolyn & Michel-Kerjan, Erwann O. & Raschky, Paul A., 2018. "Does federal disaster assistance crowd out flood insurance?," Journal of Environmental Economics and Management, Elsevier, vol. 87(C), pages 150-164.
    3. Frank, Richard G. & Lamiraud, Karine, 2009. "Choice, price competition and complexity in markets for health insurance," Journal of Economic Behavior & Organization, Elsevier, vol. 71(2), pages 550-562, August.
    4. Michael Berlemann & Max Steinhardt & Jascha Tutt, 2015. "Do Natural Disasters Stimulate Individual Saving? Evidence from a Natural Experiment in a Highly Developed Country," SOEPpapers on Multidisciplinary Panel Data Research 763, DIW Berlin, The German Socio-Economic Panel (SOEP).
    5. Lanny Arvan & David Nickerson, 2006. "Private Investment, Public Aid and Endogenous Divergence in the Evolution of Urban Neighborhoods," The Journal of Real Estate Finance and Economics, Springer, vol. 32(1), pages 83-100, February.
    6. Kunreuther, Howard, 1996. "Mitigating Disaster Losses through Insurance," Journal of Risk and Uncertainty, Springer, vol. 12(2-3), pages 171-187, May.
    7. Tatyana Deryugina & Barrett Kirwan, 2018. "Does The Samaritan'S Dilemma Matter? Evidence From U.S. Agriculture," Economic Inquiry, Western Economic Association International, vol. 56(2), pages 983-1006, April.
    8. Alex Y. Lo, 2013. "Household Preference and Financial Commitment to Flood Insurance in South-East Queensland," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 46(2), pages 160-175, June.
    9. Marielle Brunette & Laure Cabantous & Stéphane Couture & Anne Stenger, 2013. "The impact of governmental assistance on insurance demand under ambiguity: a theoretical model and an experimental test," Theory and Decision, Springer, vol. 75(2), pages 153-174, August.
    10. 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.
    11. Coate, Stephen, 1995. "Altruism, the Samaritan's Dilemma, and Government Transfer Policy," American Economic Review, American Economic Association, vol. 85(1), pages 46-57, March.
    12. Samuelson, William & Zeckhauser, Richard, 1988. "Status Quo Bias in Decision Making," Journal of Risk and Uncertainty, Springer, vol. 1(1), pages 7-59, March.
    13. Johnson, Eric J & Hershey, John & Meszaros, Jacqueline & Kunreuther, Howard, 1993. "Framing, Probability Distortions, and Insurance Decisions," Journal of Risk and Uncertainty, Springer, vol. 7(1), pages 35-51, August.
    14. Paul Raschky & Reimund Schwarze & Manijeh Schwindt & Ferdinand Zahn, 2013. "Uncertainty of Governmental Relief and the Crowding out of Flood Insurance," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(2), pages 179-200, February.
    15. Marcel A.P.M. van Asseldonk & Miranda P.M. Meuwissen & Ruud B.M. Huirne, 2002. "Belief in Disaster Relief and the Demand for a Public-Private Insurance Program," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 24(1), pages 196-207.
    16. W. J. Wouter Botzen & Jeroen C. J. M. Van Den Bergh, 2012. "Monetary Valuation Of Insurance Against Flood Risk Under Climate Change," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(3), pages 1005-1026, August.
    17. Mary Kelly & Anne E. Kleffner, 2003. "Optimal Loss Mitigation and Contract Design," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 70(1), pages 53-72, March.
    18. 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.
    19. Lewis, Tracy & Nickerson, David, 1989. "Self-insurance against natural disasters," Journal of Environmental Economics and Management, Elsevier, vol. 16(3), pages 209-223, May.
    20. Frondel, Manuel & Simora, Michael & Sommer, Stephan, 2017. "Risk Perception of Climate Change: Empirical Evidence for Germany," Ecological Economics, Elsevier, vol. 137(C), pages 173-183.
    21. 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.
    22. Paul Raschky & Hannelore Weck-Hannemann, 2007. "Charity hazard - A real hazard to natural disaster insurance," Working Papers 2007-04, Faculty of Economics and Statistics, Universität Innsbruck.
    23. Botzen, W.J.W. & Aerts, J.C.J.H. & van den Bergh, J.C.J.M., 2009. "Willingness of homeowners to mitigate climate risk through insurance," Ecological Economics, Elsevier, vol. 68(8-9), pages 2265-2277, June.
    24. 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.
    25. Petrolia, Daniel R., 2016. "Risk preferences, risk perceptions, and risky food," Food Policy, Elsevier, vol. 64(C), pages 37-48.
    26. Osberghaus, Daniel, 2015. "The determinants of private flood mitigation measures in Germany — Evidence from a nationwide survey," Ecological Economics, Elsevier, vol. 110(C), pages 36-50.
    27. Greene, William, 2010. "Testing hypotheses about interaction terms in nonlinear models," Economics Letters, Elsevier, vol. 107(2), pages 291-296, May.
    28. Botzen, W.J.W. & van den Bergh, J.C.J.M., 2012. "Risk attitudes to low-probability climate change risks: WTP for flood insurance," Journal of Economic Behavior & Organization, Elsevier, vol. 82(1), pages 151-166.
    29. G. Salkeld & M. Ryan & L. Short, 2000. "The veil of experience: do consumers prefer what they know best?," Health Economics, John Wiley & Sons, Ltd., vol. 9(3), pages 267-270, April.
    30. Reimund Schwarze & Gert G Wagner, 2004. "In the Aftermath of Dresden: New Directions in German Flood Insurance," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 29(2), pages 154-168, April.
    31. Kousky, Carolyn, 2017. "Financing Flood Losses: A Discussion of the National Flood Insurance Program," RFF Working Paper Series dp-17-03, Resources for the Future.
    32. Paul Hudson & W. J. Wouter Botzen & Jeffrey Czajkowski & Heidi Kreibich, 2017. "Moral Hazard in Natural Disaster Insurance Markets: Empirical Evidence from Germany and the United States," Land Economics, University of Wisconsin Press, vol. 93(2), pages 179-208.
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    More about this item

    Keywords

    Adaptation; Flood Protection; Flood Insurance; Objective Flood Risk; Charity Hazard;
    All these keywords.

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • R22 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Other Demand

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