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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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    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. 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.
    3. 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.
    4. 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.
    5. Gönül Doğan & Kenan Kalayci & Priscilla Man, 2024. "Pyramid Schemes," Discussion Papers Series 667, School of Economics, University of Queensland, Australia.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Rau, Holger A., 2014. "The disposition effect and loss aversion: Do gender differences matter?," Economics Letters, Elsevier, vol. 123(1), pages 33-36.

    More about this item

    Keywords

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    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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