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Public in-kind relief and private self-insurance

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  • Goeschl, Timo
  • Managi, Shunsuke

Abstract

In the wake of several high-profile natural disasters, crowding effects between public relief and private investments in disaster preparedness have recently attracted renewed attention. We examine how non-hypothetical self-insurance behavior by households responds to variations in public investments in relief capabilities based on a large disaster preparedness survey (n = 19,071) conducted in Japan in 2012. The preparedness measure used is emergency drinking water storage, defining a setting in which (i) government provides in-kind, rather than cash, relief and (ii) the crowding effect observed is more apt to be total, rather than partial. In contrast to much of the literature studying crowding effects of cash relief, there is little evidence for crowding out in emergency drinking water, with an upper bound of 2 percent at the intensive margin.

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  • Goeschl, Timo & Managi, Shunsuke, 2017. "Public in-kind relief and private self-insurance," Working Papers 0633, University of Heidelberg, Department of Economics.
  • Handle: RePEc:awi:wpaper:0633
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    1. 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.
    2. Kunreuther, Howard & Sanderson, Warren & Vetschera, Rudolf, 1985. "A behavioral model of the adoption of protective activities," Journal of Economic Behavior & Organization, Elsevier, vol. 6(1), pages 1-15, March.
    3. 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.
    4. 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.
    5. 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.
    6. Neumayer, Eric & Plümper, Thomas & Barthel, Fabian, 2014. "The political economy of natural disaster damage," LSE Research Online Documents on Economics 50699, London School of Economics and Political Science, LSE Library.
    7. 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.
    8. Kanemoto, Yoshitsugu, 1997. "The housing question in Japan," Regional Science and Urban Economics, Elsevier, vol. 27(6), pages 613-641, November.
    9. 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.
    10. Matthew E. Kahn, 2005. "The Death Toll from Natural Disasters: The Role of Income, Geography, and Institutions," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 271-284, May.
    11. 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.
    12. Kunreuther, Howard, 1996. "Mitigating Disaster Losses through Insurance," Journal of Risk and Uncertainty, Springer, vol. 12(2-3), pages 171-187, May.
    13. Paul A. Raschky & Manijeh Schwindt, 2016. "Aid, Catastrophes and the Samaritan's Dilemma," Economica, London School of Economics and Political Science, vol. 83(332), pages 624-645, October.
    14. Paul A. Raschky & Manijeh Schwindt, 2016. "Aid, Catastrophes and the Samaritan's Dilemma," Economica, London School of Economics and Political Science, vol. 83(332), pages 624-645, October.
    15. 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.
    16. Charles Cohen & Eric D. Werker, 2008. "The Political Economy of ``Natural'' Disasters," Journal of Conflict Resolution, Peace Science Society (International), vol. 52(6), pages 795-819, December.
    17. Gollier, Christian & Pratt, John W, 1996. "Risk Vulnerability and the Tempering Effect of Background Risk," Econometrica, Econometric Society, vol. 64(5), pages 1109-1123, September.
    18. Ehrlich, Isaac & Becker, Gary S, 1972. "Market Insurance, Self-Insurance, and Self-Protection," Journal of Political Economy, University of Chicago Press, vol. 80(4), pages 623-648, July-Aug..
    19. Kellenberg, Derek K. & Mobarak, Ahmed Mushfiq, 2008. "Does rising income increase or decrease damage risk from natural disasters?," Journal of Urban Economics, Elsevier, vol. 63(3), pages 788-802, May.
    20. Ginger Turner & Farah Said & Uzma Afzal, 2014. "Microinsurance Demand After a Rare Flood Event: Evidence From a Field Experiment in Pakistan," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 39(2), pages 201-223, April.
    21. 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.
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    Cited by:

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    2. Mook Bangalore & Andrew Smith & Ted Veldkamp, 2019. "Exposure to Floods, Climate Change, and Poverty in Vietnam," Economics of Disasters and Climate Change, Springer, vol. 3(1), pages 79-99, April.

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    More about this item

    JEL classification:

    • D78 - Microeconomics - - Analysis of Collective Decision-Making - - - Positive Analysis of Policy Formulation and Implementation
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • 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

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