IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp11539.html
   My bibliography  Save this paper

Domain-Specific Risk and Public Policy

Author

Listed:
  • Kanninen, Ohto

    (Labour Institute for Economic Research)

  • Böckerman, Petri

    (University of Jyväskylä)

  • Suoniemi, Ilpo

    (Labour Institute for Economic Research)

Abstract

We develop a method to estimate domain-specific risk. We apply the method to sickness insurance by fitting a utility function at the individual level, using European survey data on life satisfaction. Three results stand out. First, relative risk aversion increases with income. Second, marginal utility is higher in the sick state conditional on income, due to an observed fixed cost of sickness. Third, the domain-specificity of risk shifts the focus on the smoothing of utility, not consumption. The optimal policy rule implies that the replacement rates should be non-linear and decrease with income.

Suggested Citation

  • Kanninen, Ohto & Böckerman, Petri & Suoniemi, Ilpo, 2018. "Domain-Specific Risk and Public Policy," IZA Discussion Papers 11539, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp11539
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp11539.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. PHLIPS, Louis, 1978. "The demand for leisure and money," LIDAM Reprints CORE 342, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Phlips, Louis, 1978. "The Demand for Leisure and Money," Econometrica, Econometric Society, vol. 46(5), pages 1025-1043, September.
    3. Merton, Robert C., 1971. "Optimum consumption and portfolio rules in a continuous-time model," Journal of Economic Theory, Elsevier, vol. 3(4), pages 373-413, December.
    4. Raj Chetty & Amy Finkelstein, 2012. "Social Insurance: Connecting Theory to Data," NBER Working Papers 18433, National Bureau of Economic Research, Inc.
    5. Pichler, Stefan & Ziebarth, Nicolas R., 2017. "The pros and cons of sick pay schemes: Testing for contagious presenteeism and noncontagious absenteeism behavior," Journal of Public Economics, Elsevier, vol. 156(C), pages 14-33.
    6. Engen, Eric M. & Gruber, Jonathan, 2001. "Unemployment insurance and precautionary saving," Journal of Monetary Economics, Elsevier, vol. 47(3), pages 545-579, June.
    7. Alma Cohen & Liran Einav, 2007. "Estimating Risk Preferences from Deductible Choice," American Economic Review, American Economic Association, vol. 97(3), pages 745-788, June.
    8. Pichler, Stefan & Ziebarth, Nicolas R., 2019. "Reprint of: The pros and cons of sick pay schemes: Testing for contagious presenteeism and noncontagious absenteeism behavior," Journal of Public Economics, Elsevier, vol. 171(C), pages 86-104.
    9. Cullen, Julie Berry & Gruber, Jonathan, 2000. "Does Unemployment Insurance Crowd Out Spousal Labor Supply?," Journal of Labor Economics, University of Chicago Press, vol. 18(3), pages 546-572, July.
    10. Liran Einav & Amy Finkelstein & Iuliana Pascu & Mark R. Cullen, 2012. "How General Are Risk Preferences? Choices under Uncertainty in Different Domains," American Economic Review, American Economic Association, vol. 102(6), pages 2606-2638, October.
    11. Feldstein, Martin S, 1974. "Social Security, Induced Retirement, and Aggregate Capital Accumulation," Journal of Political Economy, University of Chicago Press, vol. 82(5), pages 905-926, Sept./Oct.
    12. Zeckhauser, Richard, 1970. "Medical insurance: A case study of the tradeoff between risk spreading and appropriate incentives," Journal of Economic Theory, Elsevier, vol. 2(1), pages 10-26, March.
    13. Donald Meyer & Jack Meyer, 2005. "Relative Risk Aversion: What Do We Know?," Journal of Risk and Uncertainty, Springer, vol. 31(3), pages 243-262, December.
    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. Petri Böckerman & Ohto Kanninen & Ilpo Suoniemi, "undated". "Income-well-being gradient in sickness and health," Working Papers 335, Työn ja talouden tutkimus LABORE, The Labour Institute for Economic Research LABORE.
    2. Keith Marzilli Ericson & Philipp Kircher & Johannes Spinnewijn & Amanda Starc, 2021. "Inferring Risk Perceptions and Preferences Using Choice from Insurance Menus: Theory and Evidence," The Economic Journal, Royal Economic Society, vol. 131(634), pages 713-744.
    3. Rodgers, Luke P., 2020. "The impact of paid family leave on household savings," Labour Economics, Elsevier, vol. 67(C).
    4. Raj Chetty & Amy Finkelstein, 2012. "Social Insurance: Connecting Theory to Data," NBER Working Papers 18433, National Bureau of Economic Research, Inc.
    5. Jochen Mankart & Rigas Oikonomou, 2017. "Household Search and the Aggregate Labour Market," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(4), pages 1735-1788.
    6. Renaud Bourlès & Dominique Henriet, 2012. "Risk-sharing Contracts with Asymmetric Information," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 37(1), pages 27-56, March.
    7. Boone, Jan, 2015. "Basic versus supplementary health insurance: Moral hazard and adverse selection," Journal of Public Economics, Elsevier, vol. 128(C), pages 50-58.
    8. Nathaniel Hendren & Camille Landais & Johannes Spinnewijn, 2021. "Choice in Insurance Markets: A Pigouvian Approach to Social Insurance Design," Annual Review of Economics, Annual Reviews, vol. 13(1), pages 457-486, August.
    9. Guler, Bulent & Taskin, Temel, 2013. "Does unemployment insurance crowd out home production?," European Economic Review, Elsevier, vol. 62(C), pages 1-16.
    10. Shin-Yi Chou & Jin-Tan Liu & James Hammitt, 2006. "Households’ precautionary behaviors—the effects of the introduction of National Health Insurance in Taiwan," Review of Economics of the Household, Springer, vol. 4(4), pages 395-421, December.
    11. Johannes Spinnewijn, 2017. "Heterogeneity, Demand for Insurance, and Adverse Selection," American Economic Journal: Economic Policy, American Economic Association, vol. 9(1), pages 308-343, February.
    12. Levon Barseghyan & Francesca Molinari, 2023. "Risk Preference Types, Limited Consideration, and Welfare," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(4), pages 1011-1029, October.
    13. Tomas Pedro Sanguinetti, 2019. "How Do Couples Choose Individual Insurance Plans? Evidence from Medicare Part D," 2019 Papers psa1760, Job Market Papers.
    14. Liran Einav & Amy Finkelstein & Stephen P. Ryan & Paul Schrimpf & Mark R. Cullen, 2013. "Selection on Moral Hazard in Health Insurance," American Economic Review, American Economic Association, vol. 103(1), pages 178-219, February.
    15. Alois Geyer & Daniela Kremslehner & Alexander Muermann, 2020. "Asymmetric Information in Automobile Insurance: Evidence From Driving Behavior," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(4), pages 969-995, December.
    16. Laura Schechter, 2007. "Risk aversion and expected-utility theory: A calibration exercise," Journal of Risk and Uncertainty, Springer, vol. 35(1), pages 67-76, August.
    17. Heinzel Christoph & Richard Peter, 2021. "Precautionary motives with multiple instruments," Working Papers SMART 21-09, INRAE UMR SMART.
    18. Francesca Barigozzi & Renaud Bourlès & Dominique Henriet & Giuseppe Pignataro, 2017. "Pool size and the sustainability of optimal risk-sharing agreements," Theory and Decision, Springer, vol. 82(2), pages 273-303, February.
    19. Peter P. Wakker, 2008. "Explaining the characteristics of the power (CRRA) utility family," Health Economics, John Wiley & Sons, Ltd., vol. 17(12), pages 1329-1344.
    20. Li Donni, P., 2010. "Risk Preference Heterogeneity And Multiple Demand For Insurance," Health, Econometrics and Data Group (HEDG) Working Papers 10/17, HEDG, c/o Department of Economics, University of York.

    More about this item

    Keywords

    risk; risk aversion; state-dependence; social insurance; sickness absence;
    All these keywords.

    JEL classification:

    • D02 - Microeconomics - - General - - - Institutions: Design, Formation, Operations, and Impact
    • H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private

    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:iza:izadps:dp11539. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.