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Public in-Kind Relief and Private Self-Insurance

Author

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  • Timo Goeschl

    (Heidelberg University)

  • Shunsuke Managi

    (Kyushu University)

Abstract

This paper provides a new angle on the question of crowding effects of public policies. 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. In our specific setting which looks at emergency drinking water, (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, we find little evidence for crowding out in emergency drinking water, with an upper bound of 2% at the intensive margin. We also identify important benefits of targeting in-kind relief to households with minors.

Suggested Citation

  • Timo Goeschl & Shunsuke Managi, 2019. "Public in-Kind Relief and Private Self-Insurance," Economics of Disasters and Climate Change, Springer, vol. 3(1), pages 3-21, April.
  • Handle: RePEc:spr:ediscc:v:3:y:2019:i:1:d:10.1007_s41885-018-0031-8
    DOI: 10.1007/s41885-018-0031-8
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    Cited by:

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    2. Hanna Habibi & Jan Feld, 2020. "The effects of earthquake exposure on preparedness in the short and long term: a difference-in-differences estimation," 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. 104(2), pages 1443-1463, November.
    3. Orkideh Gharehgozli & Peyman Nayebvali & Amir Gharehgozli & Zaman Zamanian, 2020. "Impact of COVID-19 on the Economic Output of the US Outbreak’s Epicenter," Economics of Disasters and Climate Change, Springer, vol. 4(3), pages 561-573, October.
    4. Antoine Mandel & Vipin Veetil, 2020. "The Economic Cost of COVID Lockdowns: An Out-of-Equilibrium Analysis," Economics of Disasters and Climate Change, Springer, vol. 4(3), pages 431-451, October.
    5. Veeshan Rayamajhee & Alok K. Bohara & Virgil Henry Storr, 2020. "Ex-Post Coping Responses and Post-Disaster Resilience: a Case from the 2015 Nepal Earthquake," Economics of Disasters and Climate Change, Springer, vol. 4(3), pages 575-599, October.
    6. Surender Kumar & Shunsuke Managi, 2020. "Does Stringency of Lockdown Affect Air Quality? Evidence from Indian Cities," Economics of Disasters and Climate Change, Springer, vol. 4(3), pages 481-502, October.
    7. Tanvir Pavel & Pallab Mozumder, 2019. "Household Preferences for Managing Coastal Vulnerability: State vs. Federal Adaptation Fund," Economics of Disasters and Climate Change, Springer, vol. 3(3), pages 281-304, October.
    8. Soichiro Maruta & Akinori Kitsuki & Shunsuke Managi, 2020. "Perceived Arrival Time of Disaster Relief Supplies Matters for Household Preparedness for Natural Disasters," Economics of Disasters and Climate Change, Springer, vol. 4(2), pages 365-384, July.

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    More about this item

    Keywords

    Crowding-out; Disaster preparedness; Government relief; natural hazards; in-kind relief;
    All these keywords.

    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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