IDEAS home Printed from https://ideas.repec.org/p/tky/fseres/2023cf1220.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: http://www.cirje.e.u-tokyo.ac.jp/research/dp/2023/2023cf1220.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    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. O'Donoghue, Ted & Rabin, Matthew, 1997. "Doing It Now or Later," Department of Economics, Working Paper Series qt7t44m5b0, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Andrew Royal & Margaret Walls, 2019. "Flood Risk Perceptions and Insurance Choice: Do Decisions in the Floodplain Reflect Overoptimism?," Risk Analysis, John Wiley & Sons, vol. 39(5), pages 1088-1104, May.
    2. Alex Imas & Michael A. Kuhn & Vera Mironova, 2015. "A History of Violence: Field Evidence on Trauma, Discounting and Present Bias," CESifo Working Paper Series 5338, CESifo.
    3. Andrew Royal, 2017. "Dynamics in risk taking with a low-probability hazard," Journal of Risk and Uncertainty, Springer, vol. 55(1), pages 41-69, August.
    4. Akesaka, Mika, 2019. "Change in time preferences: Evidence from the Great East Japan Earthquake," Journal of Economic Behavior & Organization, Elsevier, vol. 166(C), pages 239-245.
    5. Sophie Massin & Phu Nguyen-Van & Dimitri Dubois & Marc Willinger & Bruno Ventelou, 2025. "Hysteresis in Addictive Consumption Depends on Time Preferences," EconomiX Working Papers 2025-38, University of Paris Nanterre, EconomiX.
    6. Lu Fang & Lingxiao Li & Abdullah Yavas, 2023. "The Impact of Distant Hurricane on Local Housing Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 66(2), pages 327-372, February.
    7. Henri Gruhl & Johannes Brehm & Arijit Ghosh & Philipp Breidenbach & Nils aus dem Moore, 2025. "Adjusting to the New Normal: River Flood Risk and the Real Estate Market," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 88(9), pages 2331-2356, September.
    8. Shinichi Kamiya & Noriyoshi Yanase, 2019. "Learning from extreme catastrophes," Journal of Risk and Uncertainty, Springer, vol. 59(1), pages 85-124, August.
    9. King King Li & Ying-Yi Hong & Bo Huang & Tony Tam, 2022. "Social preferences before and after the onset of the COVID-19 pandemic in China," Post-Print hal-03899653, HAL.
    10. Johar, Meliyanni & Johnston, David W. & Shields, Michael A. & Siminski, Peter & Stavrunova, Olena, 2022. "The economic impacts of direct natural disaster exposure," Journal of Economic Behavior & Organization, Elsevier, vol. 196(C), pages 26-39.
    11. Alex Imas & Michael A. Kuhn & Vera Mironova, 2022. "Waiting to Choose: The Role of Deliberation in Intertemporal Choice," American Economic Journal: Microeconomics, American Economic Association, vol. 14(3), pages 414-440, August.
    12. Miura, Takahiro, 2019. "Does time preference affect smoking behavior? A dynamic panel analysis," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 78(C), pages 170-180.
    13. repec:jdm:journl:v:17:y:2022:i:6:p:1313-1333 is not listed on IDEAS
    14. Chowdhury, Shyamal & Smits, Joeri & Sun, Qigang, 2020. "Contract structure, time preference, and technology adoption," GLO Discussion Paper Series 633, Global Labor Organization (GLO).
    15. Kucuk, Merve & Ulubasoglu, Mehmet & Vu, Ha, 2024. "Stormy Futures? The Impact of Climatic Shocks on Retirement Savings," MPRA Paper 121241, University Library of Munich, Germany.
    16. repec:cup:judgdm:v:17:y:2022:i:6:p:1313-1333 is not listed on IDEAS
    17. Adloff, Susann, 2021. "Adapting to Climate Change: Threat Experience, Cognition and Protection Motivation," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242400, Verein für Socialpolitik / German Economic Association.
    18. Chowdhury, Shyamal & Smits, Joeri & Sun, Qigang, 2020. "Contract Structure, Time Preference, and Technology Adoption," IZA Discussion Papers 13590, Institute of Labor Economics (IZA).
    19. Abel Brodeur, 2012. "Smoking, Income and Subjective Well-Being: Evidence from Smoking Bans," Working Papers halshs-00664269, HAL.
    20. Hammar, Henrik & Carlsson, Fredrik, 2001. "Smokers' Decisions To Quit Smoking," Working Papers in Economics 59, University of Gothenburg, Department of Economics.
    21. Kemptner, Daniel & Tolan, Songül, 2018. "The role of time preferences in educational decision making," Economics of Education Review, Elsevier, vol. 67(C), pages 25-39.
    22. Brad Humphreys & Jane Ruseski & Li Zhou, 2015. "Physical Activity, Present Bias, and Habit Formation: Theory and Evidence from Longitudinal Data," Working Papers 2015-06, University of Alberta, Department of Economics.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tky:fseres:2023cf1220. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CIRJE administrative office (email available below). General contact details of provider: https://edirc.repec.org/data/ritokjp.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.