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Holding Fast: The Persistence And Dominance Of Gender Stereotypes

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  • PHILIP J. GROSSMAN

Abstract

This paper investigates the persistence of gender stereotyping in the forecasting of risk attitudes. Subjects predict the gamble choice of target subjects in one of two treatments. First, based only on visual clues and then based on visual clues plus two responses by the target from a risk-preference survey. Second in reverse order: first, based only on the two responses then on the two responses plus visual clues. In isolation the gender stereotype and survey responses both inform predictions about others’ risk attitudes. In conjunction with one another, however, the stereotype persists and dominates the survey response information.
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  • Philip J. Grossman, 2013. "Holding Fast: The Persistence And Dominance Of Gender Stereotypes," Economic Inquiry, Western Economic Association International, vol. 51(1), pages 747-763, January.
    • Handle: RePEc:bla:ecinqu:v:51:y:2013:i:1:p:747-763
    DOI: j.1465-7295.2012.00479.x
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    1. Catherine C. Eckel & Philip J. Grossman, 2002. "Sex Differences and Statistical Stereotyping in Attitudes Toward Financial Risk," Monash Economics Working Papers archive-03, Monash University, Department of Economics.
    2. Juan Camilo Cárdenas & Jeffrey Carpenter, 2010. "Risk Attitudes and Well-being in Latin America," Documentos CEDE 7718, Universidad de los Andes, Facultad de Economía, CEDE.
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    4. Catherine C. Eckel & Philip J. Grossman, 2008. "Forecasting Risk Attitudes: An Experimental Study Using Actual and Forecast Gamble Choices," Monash Economics Working Papers archive-01, Monash University, Department of Economics.
    5. Richard H. Thaler & Eric J. Johnson, 1990. "Gambling with the House Money and Trying to Break Even: The Effects of Prior Outcomes on Risky Choice," Management Science, INFORMS, vol. 36(6), pages 643-660, June.
    6. Muriel Niederle & Lise Vesterlund, 2007. "Do Women Shy Away From Competition? Do Men Compete Too Much?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1067-1101.
    7. Brad M. Barber & Terrance Odean, 2001. "Boys will be Boys: Gender, Overconfidence, and Common Stock Investment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 261-292.
    8. Sheryl Ball & Catherine Eckel & Maria Heracleous, 2010. "Risk aversion and physical prowess: Prediction, choice and bias," Journal of Risk and Uncertainty, Springer, vol. 41(3), pages 167-193, December.
    9. Chetan Dave & Catherine Eckel & Cathleen Johnson & Christian Rojas, 2010. "Eliciting risk preferences: When is simple better?," Journal of Risk and Uncertainty, Springer, vol. 41(3), pages 219-243, December.
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    Cited by:

    1. Subhasish M. Chowdhury & Joo Young Jeon, 2013. "Altruism, Anticipation, and Gender," Working Paper series, University of East Anglia, Centre for Behavioural and Experimental Social Science (CBESS) 13-06, School of Economics, University of East Anglia, Norwich, UK..
    2. Smith, Alexander, 2015. "On the nature of pessimism in taking and giving games," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 54(C), pages 50-57.
    3. Andreas Pondorfer & Toman Barsbai & Ulrich Schmidt, 2017. "Gender Differences in Stereotypes of Risk Preferences: Experimental Evidence from a Matrilineal and a Patrilineal Society," Management Science, INFORMS, vol. 63(10), pages 3268-3284, October.
    4. Catherine Eckel & Lata Gangadharan & Philip J. Grossman & Nina Xue, 2021. "The gender leadership gap: insights from experiments," Chapters, in: Ananish Chaudhuri (ed.), A Research Agenda for Experimental Economics, chapter 7, pages 137-162, Edward Elgar Publishing.
    5. Luccasen, R. Andrew, 2013. "Does context promote higher-level thinking in the beauty contest?," Economics Letters, Elsevier, vol. 121(3), pages 421-424.
    6. Luccasen, R. Andrew & Thomas, M. Kathleen, 2014. "Monetary incentives versus class credit: Evidence from a large classroom trust experiment," Economics Letters, Elsevier, vol. 123(2), pages 232-235.
    7. Franziska Ziegelmeyer & Michael Ziegelmeyer, 2016. "Parenting is risky business: parental risk attitudes in small stakes decisions on behalf of their children," Review of Economics of the Household, Springer, vol. 14(3), pages 599-623, September.
    8. Allison, Lee & Liu, Yu & Murtinu, Samuele & Wei, Zuobao, 2023. "Gender and firm performance around the world: The roles of finance, technology and labor," Journal of Business Research, Elsevier, vol. 154(C).
    9. Philip Grossman & Catherine Eckel, 2015. "Loving the long shot: Risk taking with skewed lotteries," Journal of Risk and Uncertainty, Springer, vol. 51(3), pages 195-217, December.
    10. Carpenter, Jeffrey & Hans Matthews, Peter & Robbett, Andrea, 2017. "Compensating differentials in experimental labor markets," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 69(C), pages 50-60.
    11. Pondorfer, Andreas & Omar Mahmoud, Toman & Rehdanz, Katrin & Schmidt, Ulrich, 2014. "Gender differences in risk preferences and stereotypes: Experimental evidence from a matrilineal and a patrilineal society," Kiel Working Papers 1957, Kiel Institute for the World Economy (IfW Kiel).
    12. Marco Castillo & Greg Leo & Ragan Petrie, 2020. "Room composition effects on risk taking by gender," Experimental Economics, Springer;Economic Science Association, vol. 23(3), pages 895-911, September.
    13. Andrea Robbett & Michael K. Graham & Peter Hans Matthews, 2016. "Revenue Implications of Strategic and External Auction Risk," Games, MDPI, vol. 7(1), pages 1-18, January.
    14. Feltovich, Nick & Grossman, Philip J., 2015. "How does the effect of pre-play suggestions vary with group size? Experimental evidence from a threshold public-good game," European Economic Review, Elsevier, vol. 79(C), pages 263-280.
    15. Anwesha Bandyopadhyay & Lutfunnahar Begum & Philip J. Grossman, 2021. "Gender differences in the stability of risk attitudes," Journal of Risk and Uncertainty, Springer, vol. 63(2), pages 169-201, October.

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    More about this item

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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