IDEAS home Printed from https://ideas.repec.org/a/bpj/bejeap/v20y2020i1p6n3.html
   My bibliography  Save this article

The Role of Optimism and Pessimism in the Substitution Between Primary and Secondary Health Prevention Efforts

Author

Listed:
  • Chauvin Pauline

    (LIRAES and Department of Health Policy, Université Paris Descartes - Sorbonne Paris Cité, 45 rue des Saints-Peres, 75006Paris, France)

  • Chopard Bertrand

    (LIRAES, Department of Health Policy and IUT Paris, Université Paris Descartes - Sorbonne Paris Cité, 45 rue des Saints-Peres, 75006Paris, France)

  • Tabo Augustin

    (LIRAES and Department of Health Policy, Université Paris Descartes - Sorbonne Paris Cité, 45 rue des Saints-Peres, 75006Paris, France)

Abstract

We study how apparently healthy individuals arbitrate between primary and secondary health prevention under ambiguity. In our model, each individual simultaneously chooses the level of effort for the two types of prevention. Ambiguity relates to either the probability of disease occurrence or the effectiveness of secondary prevention. We find that pessimistic individuals invest more in primary prevention and less in secondary prevention when the effectiveness of secondary prevention is ambiguous. Conversely, pessimistic individuals invest more in secondary prevention and less in primary prevention when the probability of disease occurrence is ambiguous. When the effectiveness of secondary prevention is ambiguous, optimistic individuals invest more in secondary than primary prevention. We find also a substitution effect between the two types of prevention. The latter generates indirect effects of pessimism and optimism on each type of prevention which may reverse our results when they outweigh the direct effects.

Suggested Citation

  • Chauvin Pauline & Chopard Bertrand & Tabo Augustin, 2020. "The Role of Optimism and Pessimism in the Substitution Between Primary and Secondary Health Prevention Efforts," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 20(1), pages 1-6, January.
    • Handle: RePEc:bpj:bejeap:v:20:y:2020:i:1:p:6:n:3
    DOI: 10.1515/bejeap-2018-0136
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/bejeap-2018-0136
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.
    File URL: https://libkey.io/10.1515/bejeap-2018-0136?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Johanna Etner & Meglena Jeleva & Jean‐Marc Tallon, 2012. "Decision Theory Under Ambiguity," Journal of Economic Surveys, Wiley Blackwell, vol. 26(2), pages 234-270, April.
    2. Wakker, Peter P, 2001. "Testing and Characterizing Properties of Nonadditive Measures through Violations of the Sure-Thing Principle," Econometrica, Econometric Society, vol. 69(4), pages 1039-1059, July.
    3. repec:dau:papers:123456789/7402 is not listed on IDEAS
    4. Chateauneuf, Alain & Eichberger, Jurgen & Grant, Simon, 2007. "Choice under uncertainty with the best and worst in mind: Neo-additive capacities," Journal of Economic Theory, Elsevier, vol. 137(1), pages 538-567, November.
    5. Sloan, Frank A. & Kip Viscusi, W. & Chesson, Harrell W. & Conover, Christopher J. & Whetten-Goldstein, Kathryn, 1998. "Alternative approaches to valuing intangible health losses: the evidence for multiple sclerosis1," Journal of Health Economics, Elsevier, vol. 17(4), pages 475-497, August.
    6. Evans, William N & Viscusi, W Kip, 1991. "Estimation of State-Dependent Utility Functions Using Survey Data," The Review of Economics and Statistics, MIT Press, vol. 73(1), pages 94-104, February.
    7. Louis Eeckhoudt & Meglena Jeleva, 2004. "Décision médicale et probabilités imprécises," Revue économique, Presses de Sciences-Po, vol. 55(5), pages 869-881.
    8. Goldzahl, Léontine, 2017. "Contributions of risk preference, time orientation and perceptions to breast cancer screening regularity," Social Science & Medicine, Elsevier, vol. 185(C), pages 147-157.
    9. Katherine Carman & Peter Kooreman, 2014. "Probability perceptions and preventive health care," Journal of Risk and Uncertainty, Springer, vol. 49(1), pages 43-71, August.
    10. Camerer, Colin & Weber, Martin, 1992. "Recent Developments in Modeling Preferences: Uncertainty and Ambiguity," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 325-370, October.
    11. Johanna Etner & Meglena Jeleva & Jean‐Marc Tallon, 2012. "Decision Theory Under Ambiguity," Journal of Economic Surveys, Wiley Blackwell, vol. 26(2), pages 234-270, April.
    12. Marion Devaux, 2015. "Income-related inequalities and inequities in health care services utilisation in 18 selected OECD countries," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(1), pages 21-33, January.
    13. Florence Jusot & Zeynep Or & Nicolas Sirven, 2012. "Variations in preventive care utilisation in Europe," Post-Print hal-01593796, HAL.
    14. repec:hal:pseose:halshs-00643580 is not listed on IDEAS
    15. Larry G. Epstein & Stephen M. Tanny, 1980. "Increasing Generalized Correlation: A Definition and Some Economic Consequences," Canadian Journal of Economics, Canadian Economics Association, vol. 13(1), pages 16-34, February.
    16. Peter Zweifel & Friedrich Breyer & Mathias Kifmann, 2009. "Individuals as Producers of Their Health," Springer Books, in: Health Economics, chapter 3, pages 75-118, Springer.
    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. Nicolas Lampach & Sandrine Spaeter, 2016. "The Efficiency of (strict) Liability Rules revised in Risk and Ambiguity," Working Papers of BETA 2016-29, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    2. Aurélien Baillon & Zhenxing Huang & Asli Selim & Peter P. Wakker, 2018. "Measuring Ambiguity Attitudes for All (Natural) Events," Econometrica, Econometric Society, vol. 86(5), pages 1839-1858, September.
    3. Massimo Guidolin & Francesca Rinaldi, 2013. "Ambiguity in asset pricing and portfolio choice: a review of the literature," Theory and Decision, Springer, vol. 74(2), pages 183-217, February.
    4. Andrew J. Keith & Darryl K. Ahner, 2021. "A survey of decision making and optimization under uncertainty," Annals of Operations Research, Springer, vol. 300(2), pages 319-353, May.
    5. Arthur E. Attema & Han Bleichrodt & Olivier L'Haridon, 2018. "Ambiguity preferences for health," Health Economics, John Wiley & Sons, Ltd., vol. 27(11), pages 1699-1716, November.
    6. David Kelsey & Tigran Melkonyan, 2018. "Contests with ambiguity," Oxford Economic Papers, Oxford University Press, vol. 70(4), pages 1148-1169.
    7. Marco Rojas & Damián Vergara, 2021. "Ambiguity and long-run cooperation in strategic games," Oxford Economic Papers, Oxford University Press, vol. 73(3), pages 1077-1098.
    8. Natallia Gray & Gabriel Picone, 2018. "Evidence of Large-Scale Social Interactions in Mammography in the United States," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 46(4), pages 441-457, December.
    9. L. A. Franzoni, 2016. "Optimal liability design under risk and ambiguity," Working Papers wp1048, Dipartimento Scienze Economiche, Universita' di Bologna.
    10. Attema, Arthur E. & l’Haridon, Olivier & van de Kuilen, Gijs, 2019. "Measuring multivariate risk preferences in the health domain," Journal of Health Economics, Elsevier, vol. 64(C), pages 15-24.
    11. Carvalho, M., 2012. "Static vs Dynamic Auctions with Ambiguity Averse Bidders," Other publications TiSEM 1f078e67-88ec-46e3-ae18-1, Tilburg University, School of Economics and Management.
    12. Gonçalo Faria & João Correia-da-Silva, 2012. "The price of risk and ambiguity in an intertemporal general equilibrium model of asset prices," Annals of Finance, Springer, vol. 8(4), pages 507-531, November.
    13. Amit Kothiyal & Vitalie Spinu & Peter Wakker, 2014. "An experimental test of prospect theory for predicting choice under ambiguity," Journal of Risk and Uncertainty, Springer, vol. 48(1), pages 1-17, February.
    14. Nathalie Chappe & Raphaël Giraud, 2013. "Confidence, Optimism and Litigation: A Litigation Model under Ambiguity," Working Papers hal-04287896, HAL.
    15. Jimin Hong & Kyungsun Kim, 2021. "Self-insurance and saving under a two-argument utility framework," Journal of Economics, Springer, vol. 134(1), pages 73-94, September.
    16. La Torre, Davide & Marsiglio, Simone & Mendivil, Franklin & Privileggi, Fabio, 2020. "Public Debt Dynamics under Ambiguity by Means of Iterated Function Systems on Density Functions," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202009, University of Turin.
    17. Simon Quemin, 2016. "Intertemporal abatement decisions under ambiguity aversion in a cap and trade," Working Papers 1604, Chaire Economie du climat.
    18. Luisito Bertinelli & Arnaud Bourgain & Florian Léon, 2020. "Corruption and tax compliance: evidence from small retailers in Bamako, Mali," Applied Economics Letters, Taylor & Francis Journals, vol. 27(5), pages 366-370, March.
    19. Burkhard C. Schipper, 2021. "The evolutionary stability of optimism, pessimism, and complete ignorance," Theory and Decision, Springer, vol. 90(3), pages 417-454, May.
    20. Giraud, Raphaël & Thomas, Lionel, 2017. "Ambiguity, optimism, and pessimism in adverse selection models," Journal of Economic Theory, Elsevier, vol. 171(C), pages 64-100.

    More about this item

    Keywords

    ambiguity; health prevention; optimism; pessimism;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

    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:bpj:bejeap:v:20:y:2020:i:1:p:6:n:3. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    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.