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Salience, Risky Choices and Gender

Author

Listed:
  • Booth, Alison L.

    (Australian National University)

  • Nolen, Patrick J.

    (University of Essex)

Abstract
Risk theories typically assume individuals make risky choices using probability weights that differ from objective probabilities. Recent theories suggest that probability weights vary depending on which portion of a risky environment is made salient. Using experimental data we show that salience affects young men and women differently, even after controlling for cognitive and non-cognitive skills. Men are significantly more likely than women to switch from a certain to a risky choice once the upside of winning is made salient, even though the expected value of the choice remains the same.

Suggested Citation

  • Booth, Alison L. & Nolen, Patrick J., 2012. "Salience, Risky Choices and Gender," IZA Discussion Papers 6400, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp6400
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    References listed on IDEAS

    as
    1. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde, 2010. "Are Risk Aversion and Impatience Related to Cognitive Ability?," American Economic Review, American Economic Association, vol. 100(3), pages 1238-1260, June.
    2. Booth, Alison & Cardona-Sosa, Lina & Nolen, Patrick, 2014. "Gender differences in risk aversion: Do single-sex environments affect their development?," Journal of Economic Behavior & Organization, Elsevier, vol. 99(C), pages 126-154.
    3. Alison L. Booth & Patrick Nolen, 2012. "Gender differences in risk behaviour: does nurture matter?," Economic Journal, Royal Economic Society, vol. 122(558), pages 56-78, February.
    4. James J. Heckman & Jora Stixrud & Sergio Urzua, 2006. "The Effects of Cognitive and Noncognitive Abilities on Labor Market Outcomes and Social Behavior," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 411-482, July.
    5. Quang Nguyen & Colin Camerer & Tomomi Tanaka, 2010. "Risk and Time Preferences Linking Experimental and Household Data from Vietnam," Post-Print halshs-00547090, HAL.
    6. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    7. Helga Fehr-Duda & Manuele Gennaro & Renate Schubert, 2006. "Gender, Financial Risk, and Probability Weights," Theory and Decision, Springer, vol. 60(2), pages 283-313, May.
    8. Steffen Huck & Wieland Müller, 2012. "Allais for all: Revisiting the paradox in a large representative sample," Journal of Risk and Uncertainty, Springer, vol. 44(3), pages 261-293, June.
    9. Tomomi Tanaka & Colin F. Camerer & Quang Nguyen, 2010. "Risk and Time Preferences: Linking Experimental and Household Survey Data from Vietnam," American Economic Review, American Economic Association, vol. 100(1), pages 557-571, March.
    10. Eckel, Catherine C. & Grossman, Philip J., 2008. "Men, Women and Risk Aversion: Experimental Evidence," Handbook of Experimental Economics Results, in: Charles R. Plott & Vernon L. Smith (ed.), Handbook of Experimental Economics Results, edition 1, volume 1, chapter 113, pages 1061-1073, Elsevier.
    Full references (including those not matched with items on IDEAS)

    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Salience, Risky Choices and Gender
      by Nicholas Gruen in Club Troppo on 2012-03-23 07:47:49

    Citations

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    Cited by:

    1. Friehe, Tim & Pham, Cat Lam, 2020. "Settling with salience-biased defendants," Economics Letters, Elsevier, vol. 192(C).
    2. Booth, Alison & Cardona-Sosa, Lina & Nolen, Patrick, 2014. "Gender differences in risk aversion: Do single-sex environments affect their development?," Journal of Economic Behavior & Organization, Elsevier, vol. 99(C), pages 126-154.
    3. Adrian Bruhin & Maha Manai & Luís Santos-Pinto, 2022. "Risk and rationality: The relative importance of probability weighting and choice set dependence," Journal of Risk and Uncertainty, Springer, vol. 65(2), pages 139-184, October.
    4. Adrian Bruhin & Maha Manai & Luis Santos-Pinto, 2019. "Risk and Rationality:The Relative Importance of Probability Weighting and Choice Set Dependence," Cahiers de Recherches Economiques du Département d'économie 19.01new, Université de Lausanne, Faculté des HEC, Département d’économie.
    5. Adrian Bruhin & Maha Manai & Luis Santos-Pinto, 2018. "Risk and Rationality:The Relative Importance of Probability Weighting and Choice Set Dependence," Cahiers de Recherches Economiques du Département d'économie 18.04, Université de Lausanne, Faculté des HEC, Département d’économie.
    6. Gönül Doğan & Kenan Kalayci & Priscilla Man, 2024. "Pyramid Schemes," Discussion Papers Series 667, School of Economics, University of Queensland, Australia.
    7. Königsheim, C. & Lukas, M. & Nöth, M., 2019. "Salience theory: Calibration and heterogeneity in probability distortion," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 477-495.
    8. Xiangfeng Ji & Xiaoyu Ao, 2021. "Travelers’ Bi-Attribute Decision Making on the Risky Mode Choice with Flow-Dependent Salience Theory," Sustainability, MDPI, vol. 13(7), pages 1-24, April.
    9. Kelvin Balcombe & Iain Fraser & Abhijit Sharma, 2021. "An econometric analysis of salience theory," Bulletin of Economic Research, Wiley Blackwell, vol. 73(4), pages 545-554, October.
    10. Rau, Holger A., 2014. "The disposition effect and loss aversion: Do gender differences matter?," Economics Letters, Elsevier, vol. 123(1), pages 33-36.

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    More about this item

    Keywords

    cognitive ability; salience; risk-aversion; gender; probability weights;
    All these keywords.

    JEL classification:

    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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