IDEAS home Printed from https://ideas.repec.org/p/ulb/ulbeco/2013-405602.html

Sibling correlation in risk attitudes: evidence from Burkina Faso

Author

Listed:
  • Mohammad Sepahvand
  • Roujman Shahbazian

Abstract

This study uses sibling correlation to provide novel descriptive evidence of parental and household characteristics on three different risk domains collected in a nationally representative survey from Burkina Faso. The sibling correlations are between 0.51 and 0.83. The correlations are higher in the general risk domain compared to risk taking in financial matters and traffic. Moreover, the sibling correlation is higher for sisters than brothers. We also explore which factors might drive these correlations; parents’ risk attitudes appears to play a role in explaining these correlations, whereas socioeconomic outcomes, family structure, parental health and residential zone seems to have only a limited contribution. We also find that gender seems to be important in explaining the variation in sibling correlations. Mother’s appear to have a stronger contribution on daughters than their sons correlation, whereas father’s help to explain their sons correlation.

Suggested Citation

  • Mohammad Sepahvand & Roujman Shahbazian, 2021. "Sibling correlation in risk attitudes: evidence from Burkina Faso," ULB Institutional Repository 2013/405602, ULB -- Universite Libre de Bruxelles.
  • Handle: RePEc:ulb:ulbeco:2013/405602
    Note: SCOPUS: ar.j
    as

    Download full text from publisher

    File URL: https://dipot.ulb.ac.be/dspace/bitstream/2013/405602/1/doi_389246.pdf
    File Function: Full text for the whole work, or for a work part
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jonathan P. Beauchamp & David Cesarini & Magnus Johannesson, 2017. "The psychometric and empirical properties of measures of risk preferences," Journal of Risk and Uncertainty, Springer, vol. 54(3), pages 203-237, June.
    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. Nicos Nicolaou & Scott Shane, 2019. "Common genetic effects on risk-taking preferences and choices," Journal of Risk and Uncertainty, Springer, vol. 59(3), pages 261-279, December.
    2. Giorgia Menta & Pietro Biroli & Divya Mehta & Conchita D'Ambrosio & Deborah Cobb-Clark, 2025. "Aggregating Epigenetic Clocks to Study Human Capital Formation," Papers 2509.14422, arXiv.org.
    3. Wang, Xinghua & Navarro-Martinez, Daniel, 2023. "Increasing the external validity of social preference games by reducing measurement error," Games and Economic Behavior, Elsevier, vol. 141(C), pages 261-285.
    4. Thomas Dohmen & Melanie Khamis & Hartmut Lehmann & Norberto Pignatti, 2023. "Risk Attitudes and Informal Employment in Ukraine," Working Papers 401, Leibniz Institut für Ost- und Südosteuropaforschung (Leibniz Institute for East and Southeast European Studies).
    5. Jin, Shan & Yan, Sibo & Zhang, Xiaomeng, 2025. "Measuring trust across countries: Inconsistencies between experiments and surveys," Economics Letters, Elsevier, vol. 248(C).
    6. Harrison, John P. & Samaddar, Subhashish, 2025. "On-screen reading vs. On-paper reading: Does it influence trust and risk differently?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 47(C).
    7. Bernd Fitzenberger & Gary Mena & Jan Nimczik & Uwe Sunde, 2022. "Personality Traits Across the Life Cycle: Disentangling Age, Period and Cohort Effects," The Economic Journal, Royal Economic Society, vol. 132(646), pages 2141-2172.
    8. Paul Bokern & Jona Linde & Arno Riedl & Peter Werner, 2023. "The Robustness of Preferences during a Crisis: The Case of Covid-19," CESifo Working Paper Series 10595, CESifo.
    9. Dong, Yuanqing & Dreber, Anna & Johannesson, Magnus & Kilicgedik, Gizem, 2026. "Incidental emotions and financial risk-taking," Journal of Economic Behavior & Organization, Elsevier, vol. 246(C).
    10. Michele Garagnani, 2023. "The predictive power of risk elicitation tasks," Journal of Risk and Uncertainty, Springer, vol. 67(2), pages 165-192, October.
    11. Chowdhury, Shyamal & Sutter, Matthias & Zimmermann, Klaus F., 2020. "Economic Preferences across Generations and Family Clusters: A Large-Scale Experiment," IZA Discussion Papers 13451, IZA Network @ LISER.
    12. Boschini, Anne & Dreber, Anna & von Essen, Emma & Muren, Astri & Ranehill, Eva, 2018. "Gender, risk preferences and willingness to compete in a random sample of the Swedish population," Working Paper Series 10/2018, Stockholm University, Swedish Institute for Social Research.
    13. Kalli, Rajesh & Jena, Pradyot Ranjan & Timilsina, Raja Rajendra & Rahut, Dil Bahadur & Sonobe, Tetsushi, 2024. "Effect of irrigation on farm efficiency in tribal villages of Eastern India," Agricultural Water Management, Elsevier, vol. 291(C).
    14. Boschini, Anne & Dreber, Anna & von Essen, Emma & Muren, Astri & Ranehill, Eva, 2019. "Gender, risk preferences and willingness to compete in a random sample of the Swedish population✰," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 83(C).
    15. König, Adriana N. & Laxy, Michael & Peters, Annette & Schneider, Alexandra & Wolf, Kathrin & Schwettmann, Lars & Wiesen, Daniel, 2024. "What is the relationship between risk attitudes and ambient temperature? Evidence from a large population-based cohort study," Economics & Human Biology, Elsevier, vol. 55(C).
    16. Felix Holzmeister & Matthias Stefan, 2021. "The risk elicitation puzzle revisited: Across-methods (in)consistency?," Experimental Economics, Springer;Economic Science Association, vol. 24(2), pages 593-616, June.
    17. Joshua Tasoff & Wenjie Zhang, 2022. "The Performance of Time-Preference and Risk-Preference Measures in Surveys," Management Science, INFORMS, vol. 68(2), pages 1149-1173, February.
    18. Guo, Jintong & Ding, Rui & Zhang, Ziyi & Zhang, Min, 2025. "Top executives' emotional stability and firm risk-taking: A machine learning-based study," Pacific-Basin Finance Journal, Elsevier, vol. 90(C).
    19. Fabien Perez & Guillaume Hollard & Radu Vranceanu, 2021. "How serious is the measurement-error problem in risk-aversion tasks?," Journal of Risk and Uncertainty, Springer, vol. 63(3), pages 319-342, December.
    20. Ola Andersson & Håkan J. Holm & Jean-Robert Tyran & Erik Wengström, 2020. "Robust inference in risk elicitation tasks," Journal of Risk and Uncertainty, Springer, vol. 61(3), pages 195-209, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:ulb:ulbeco:2013/405602. 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: Benoit Pauwels (email available below). General contact details of provider: https://edirc.repec.org/data/ecsulbe.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.