IDEAS home Printed from https://ideas.repec.org/p/diw/diwsop/diw_sp474.html
   My bibliography  Save this paper

Stereotypes and Risk Attitudes: Evidence from the Lab and the Field

Author

Listed:
  • Andrea Leuermann
  • Benjamin Roth

Abstract

Recent studies have found correlations between risk attitudes and several sociodemographic characteristics. In this paper, we deploy an artefactual field experiment and study whether subjects - non-professionals and -financial professionals - are aware of these correlations. This is largely confirmed by our results for all subject groups. We show that the subjects attach informational value to sociodemographic information when assessing others' risk attitudes. This provides external validity to the correlations found between risk preferences and sociodemographics. A person's self-assessment of risk attitudes is the most helpful device for the subjects' assessments of others, although experienced professionals make use of it to a minor extent than all other subjects.

Suggested Citation

  • Andrea Leuermann & Benjamin Roth, 2012. "Stereotypes and Risk Attitudes: Evidence from the Lab and the Field," SOEPpapers on Multidisciplinary Panel Data Research 474, DIW Berlin, The German Socio-Economic Panel (SOEP).
    • Handle: RePEc:diw:diwsop:diw_sp474
    as

    Download full text from publisher

    File URL: https://www.diw.de/documents/publikationen/73/diw_01.c.407877.de/diw_sp0474.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gary Charness & Marie-Claire Villeval, 2009. "Cooperation and Competition in Intergenerational Experiments in the Field and the Laboratory," American Economic Review, American Economic Association, vol. 99(3), pages 956-978, June.
    2. Belzil, Christian & Leonardi, Marco, 2007. "Can risk aversion explain schooling attainments? Evidence from Italy," Labour Economics, Elsevier, vol. 14(6), pages 957-970, December.
    3. Steffen Andersen & Glenn Harrison & Morten Lau & E. Rutström, 2009. "Elicitation using multiple price list formats," Experimental Economics, Springer;Economic Science Association, vol. 12(3), pages 365-366, September.
    4. Jonathan E. Alevy & Michael S. Haigh & John A. List, 2007. "Information Cascades: Evidence from a Field Experiment with Financial Market Professionals," Journal of Finance, American Finance Association, vol. 62(1), pages 151-180, February.
    5. Jonathan E. Alevy & Michael S. Haigh & John List, 2006. "Information Cascades: Evidence from An Experiment with Financial Market Professionals," NBER Working Papers 12767, National Bureau of Economic Research, Inc.
    6. Franklin Allen, 2001. "Do Financial Institutions Matter?," Journal of Finance, American Finance Association, vol. 56(4), pages 1165-1175, August.
    7. Robert B. Barsky & F. Thomas Juster & Miles S. Kimball & Matthew D. Shapiro, 1997. "Preference Parameters and Behavioral Heterogeneity: An Experimental Approach in the Health and Retirement Study," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 537-579.
    8. Marie Claire Villeval, 2007. "Experiments in Economics," Post-Print halshs-00257875, HAL.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Roth, Benjamin & Voskort, Andrea, 2014. "Stereotypes and false consensus: How financial professionals predict risk preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 553-565.

    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. Leuermann, Andrea & Roth, Benjamin, 2012. "Stereotypes and Risk Attitudes: Evidence from the Lab and the Field," Working Papers 0533, University of Heidelberg, Department of Economics.
    2. Leuermann, Andrea & Roth, Benjamin, 2012. "Does good advice come cheap? - On the assessment of risk preferences in the lab and the field," Working Papers 0534, University of Heidelberg, Department of Economics.
    3. Menkhoff, Lukas & Sakha, Sahra, 2017. "Estimating risky behavior with multiple-item risk measures," Journal of Economic Psychology, Elsevier, vol. 59(C), pages 59-86.
    4. Roth, Benjamin & Voskort, Andrea, 2014. "Stereotypes and false consensus: How financial professionals predict risk preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 553-565.
    5. Andrea Leuermann & Benjamin Roth, 2012. "Does Good Advice Come Cheap?: On the Assessment of Risk Preferences in the Lab and in the Field," SOEPpapers on Multidisciplinary Panel Data Research 475, DIW Berlin, The German Socio-Economic Panel (SOEP).
    6. Lex Borghans & Angela Lee Duckworth & James J. Heckman & Bas ter Weel, 2008. "The Economics and Psychology of Personality Traits," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    7. Alserda, Gosse A.G. & Dellaert, Benedict G.C. & Swinkels, Laurens & van der Lecq, Fieke S.G., 2019. "Individual pension risk preference elicitation and collective asset allocation with heterogeneity," Journal of Banking & Finance, Elsevier, vol. 101(C), pages 206-225.
    8. Puput Tri Komalasari & Marwan Asri & Bernardinus M. Purwanto & Bowo Setiyono, 2022. "Herding behaviour in the capital market: What do we know and what is next?," Management Review Quarterly, Springer, vol. 72(3), pages 745-787, September.
    9. Jonathan Chapman & Erik Snowberg & Stephanie Wang & Colin Camerer, 2018. "Loss Attitudes in the U.S. Population: Evidence from Dynamically Optimized Sequential Experimentation (DOSE)," NBER Working Papers 25072, National Bureau of Economic Research, Inc.
    10. Caliendo, Marco & Cobb-Clark, Deborah A. & Obst, Cosima & Uhlendorff, Arne, 2023. "Risk preferences and training investments," Journal of Economic Behavior & Organization, Elsevier, vol. 205(C), pages 668-686.
    11. Armin Falk & Fabian Kosse & Pia Pinger & Hannah Schildberg-Hörisch & Thomas Deckers, 2021. "Socioeconomic Status and Inequalities in Children’s IQ and Economic Preferences," Journal of Political Economy, University of Chicago Press, vol. 129(9), pages 2504-2545.
    12. Wölfel, Oliver & Heineck, Guido, 2012. "Parental risk attitudes and children's secondary school track choice," Economics of Education Review, Elsevier, vol. 31(5), pages 727-743.
    13. J. François Outreville, 2015. "The Relationship Between Relative Risk Aversion And The Level Of Education: A Survey And Implications For The Demand For Life Insurance," Journal of Economic Surveys, Wiley Blackwell, vol. 29(1), pages 97-111, February.
    14. Drehmann, Mathias & Oechssler, Jorg & Roider, Andreas, 2007. "Herding with and without payoff externalities -- an internet experiment," International Journal of Industrial Organization, Elsevier, vol. 25(2), pages 391-415, April.
    15. List John A., 2007. "Field Experiments: A Bridge between Lab and Naturally Occurring Data," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 6(2), pages 1-47, April.
    16. Bottasso, Anna & Duchêne, Sébastien & Guerci, Eric & Hanaki, Nobuyuki & Noussair, Charles N., 2022. "Higher order risk attitudes of financial experts," Journal of Behavioral and Experimental Finance, Elsevier, vol. 34(C).
    17. Holzmeister, Felix & Stefan, Matthias, 2019. "The Risk Elicitation Puzzle Revisited: Across-Methods (In)consistency?," OSF Preprints pj9u2, Center for Open Science.
    18. Jeffrey Butler & Luigi Guiso & Tullio Jappelli, 2014. "The role of intuition and reasoning in driving aversion to risk and ambiguity," Theory and Decision, Springer, vol. 77(4), pages 455-484, December.
    19. Levitt, Steven D. & List, John A., 2009. "Field experiments in economics: The past, the present, and the future," European Economic Review, Elsevier, vol. 53(1), pages 1-18, January.
    20. Felix Holzmeister & Matthias Stefan, 2019. "The risk elicitation puzzle revisited: Across-methods (in)consistency?," Working Papers 2019-19, Faculty of Economics and Statistics, Universität Innsbruck.

    More about this item

    Keywords

    Risk preferences; financial advice; artefactual field experiment; behavioral finance;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G2 - Financial Economics - - Financial Institutions and Services

    NEP fields

    This paper has been announced in the following NEP Reports:

    Lists

    This item is featured on the following reading lists, Wikipedia, or ReplicationWiki pages:
    1. SOEP based publications

    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:diw:diwsop:diw_sp474. 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: Bibliothek (email available below). General contact details of provider: https://edirc.repec.org/data/sodiwde.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.