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Government Intervention in Catastrophe Insurance Markets: A Reinforcement Learning Approach

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Listed:
  • Menna Hassan
  • Nourhan Sakr
  • Arthur Charpentier

Abstract

This paper designs a sequential repeated game of a micro-founded society with three types of agents: individuals, insurers, and a government. Nascent to economics literature, we use Reinforcement Learning (RL), closely related to multi-armed bandit problems, to learn the welfare impact of a set of proposed policy interventions per $1 spent on them. The paper rigorously discusses the desirability of the proposed interventions by comparing them against each other on a case-by-case basis. The paper provides a framework for algorithmic policy evaluation using calibrated theoretical models which can assist in feasibility studies.

Suggested Citation

  • Menna Hassan & Nourhan Sakr & Arthur Charpentier, 2022. "Government Intervention in Catastrophe Insurance Markets: A Reinforcement Learning Approach," Papers 2207.01010, arXiv.org.
    • Handle: RePEc:arx:papers:2207.01010
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    References listed on IDEAS

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    1. Leah Platt Boustan & Matthew E. Kahn & Paul W. Rhode, 2012. "Moving to Higher Ground: Migration Response to Natural Disasters in the Early Twentieth Century," American Economic Review, American Economic Association, vol. 102(3), pages 238-244, May.
    2. 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.
    3. Ikefuji, Masako & Laeven, Roger J.A. & Magnus, Jan R. & Muris, Chris, 2015. "Expected utility and catastrophic consumption risk," Insurance: Mathematics and Economics, Elsevier, vol. 64(C), pages 306-312.
    4. Hansen, Lars Peter & Singleton, Kenneth J, 1983. "Stochastic Consumption, Risk Aversion, and the Temporal Behavior of Asset Returns," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 249-265, April.
    5. Kunreuther,Howard C. & Pauly,Mark V. & McMorrow,Stacey, 2013. "Insurance and Behavioral Economics," Cambridge Books, Cambridge University Press, number 9780521608268, September.
    6. 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.
    7. Amy Finkelstein & Nathaniel Hendren, 2020. "Welfare Analysis Meets Causal Inference," NBER Working Papers 27640, National Bureau of Economic Research, Inc.
    8. Radoslav Raykov, 2015. "Catastrophe insurance equilibrium with correlated claims," Theory and Decision, Springer, vol. 78(1), pages 89-115, January.
    9. Carolyn Kousky & Roger Cooke, 2012. "Explaining the Failure to Insure Catastrophic Risks," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 37(2), pages 206-227, April.
    10. Boustan, Leah Platt & Kahn, Matthew E. & Rhode, Paul W. & Yanguas, Maria Lucia, 2020. "The effect of natural disasters on economic activity in US counties: A century of data," Journal of Urban Economics, Elsevier, vol. 118(C).
    11. J. David Cummins, 2006. "Should the government provide insurance for catastrophes?," Review, Federal Reserve Bank of St. Louis, vol. 88(Jul), pages 337-380.
    12. Howard Kunreuther & Jason Schupp, 2021. "Evaluating the Role of Insurance in Managing Risk of Future Pandemics," NBER Working Papers 28968, National Bureau of Economic Research, Inc.
    13. Cummins, J. David & Doherty, Neil & Lo, Anita, 2002. "Can insurers pay for the "big one"? Measuring the capacity of the insurance market to respond to catastrophic losses," Journal of Banking & Finance, Elsevier, vol. 26(2-3), pages 557-583, March.
    14. Dwight Jaffee & Thomas Russell, 2013. "The Welfare Economics of Catastrophe Losses and Insurance," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 38(3), pages 469-494, July.
    15. Kent Smetters & David Torregrosa, 2008. "Financing Losses from Catastrophic Risks: Working Paper 2008-09," Working Papers 20400, Congressional Budget Office.
    16. Charpentier, Arthur & Le Maux, Benoît, 2014. "Natural catastrophe insurance: How should the government intervene?," Journal of Public Economics, Elsevier, vol. 115(C), pages 1-17.
    17. Kunreuther,Howard C. & Pauly,Mark V. & McMorrow,Stacey, 2013. "Insurance and Behavioral Economics," Cambridge Books, Cambridge University Press, number 9780521845724, September.
    18. Randy E. Dumm & David L. Eckles & Charles Nyce & Jacqueline Volkman-Wise, 2020. "The representative heuristic and catastrophe-related risk behaviors," Journal of Risk and Uncertainty, Springer, vol. 60(2), pages 157-185, April.
    19. Jaffee Dwight M & Russell Thomas, 2006. "Should Governments Provide Catastrophe Insurance?," The Economists' Voice, De Gruyter, vol. 3(5), pages 1-8, April.
    20. repec:hal:journl:hal-00536925 is not listed on IDEAS
    21. Akter, Sonia & Brouwer, Roy & Chowdhury, Saria & Aziz, Salina, 2008. "Determinants of Participation in a Catastrophe Insurance Programme: Empirical Evidence from a Developing Country," 2008 Conference (52nd), February 5-8, 2008, Canberra, Australia 5984, Australian Agricultural and Resource Economics Society.
    22. Dwight M. Jaffee, 2006. "Commentary on "Should the government provide insurance for catastrophes?"," Review, Federal Reserve Bank of St. Louis, vol. 88(Jul), pages 381-386.
    23. Amy Finkelstein & Nathaniel Hendren, 2020. "Welfare Analysis Meets Causal Inference," Journal of Economic Perspectives, American Economic Association, vol. 34(4), pages 146-167, Fall.
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