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Large Fires and the Rise of Fire Insurance in Pre-war Japan

Author

Listed:
  • Tetsuji Okazaki

    (Faculty of Economics, The University of Tokyo)

  • Toshihiro Okubo

    (Faculty of Economics, Keio University)

  • Eric Strobl

    (Department of Economics, University of Bern)

Abstract

We explore the role that large fires played in the early developed of the fire insurance industry of pre-WWII Japan. To this end we construct a prefecture level data set spanning thirty years. Our econometric results show that large fires led to an increase in new policies and policy renewals, a result that is in line with historical narratives that insurance companies used these events to advertise their business. We also show that this subsequent surge in renewals and new policy holders led to more fraudulent behaviour by increasing the number of small fires due to arson, whereas there was no effect on unintentionally set small fires. While we are unable to identify whether this was due to adverse selection of new policy holders or moral hazard behaviour of existing ones, anecdotal evidence that is more likely to have been the latter.

Suggested Citation

  • Tetsuji Okazaki & Toshihiro Okubo & Eric Strobl, 2023. "Large Fires and the Rise of Fire Insurance in Pre-war Japan," CIRJE F-Series CIRJE-F-1220, CIRJE, Faculty of Economics, University of Tokyo.
    • Handle: RePEc:tky:fseres:2023cf1220
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    References listed on IDEAS

    as
    1. Matthew Rabin & Ted O'Donoghue, 1999. "Doing It Now or Later," American Economic Review, American Economic Association, vol. 89(1), pages 103-124, March.
    2. Toshihiro Okubo & Eric Strobl, 2021. "Natural disasters, firm survival, and growth: Evidence from the Ise Bay Typhoon, Japan," Journal of Regional Science, Wiley Blackwell, vol. 61(5), pages 944-970, November.
    3. Shinichi Kamiya & Noriyoshi Yanase, 2019. "Learning from extreme catastrophes," Journal of Risk and Uncertainty, Springer, vol. 59(1), pages 85-124, August.
    4. Lisa Cameron & Manisha Shah, 2015. "Risk-Taking Behavior in the Wake of Natural Disasters," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 484-515.
    5. 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.
    6. Bertanha Marinho & Moser Petra, 2016. "Spatial Errors in Count Data Regressions," Journal of Econometric Methods, De Gruyter, vol. 5(1), pages 49-69, January.
    7. Marc F. Bellemare & Casey J. Wichman, 2020. "Elasticities and the Inverse Hyperbolic Sine Transformation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(1), pages 50-61, February.
    8. Craig Trumbo & Michelle Lueck & Holly Marlatt & Lori Peek, 2011. "The Effect of Proximity to Hurricanes Katrina and Rita on Subsequent Hurricane Outlook and Optimistic Bias," Risk Analysis, John Wiley & Sons, vol. 31(12), pages 1907-1918, December.
    9. 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.
    10. Callen, Michael, 2015. "Catastrophes and time preference: Evidence from the Indian Ocean Earthquake," Journal of Economic Behavior & Organization, Elsevier, vol. 118(C), pages 199-214.
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    More about this item

    JEL classification:

    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • G52 - Financial Economics - - Household Finance - - - Insurance
    • N25 - Economic History - - Financial Markets and Institutions - - - Asia including Middle East

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