Gender, Financial Risk, and Probability Weights
By Helga Fehr-Duda, M. Gennaro, Renate Schubert. 2006
374 citations recorded by the source corpus.
Subfields: Economics and Econometrics, General Decision Sciences, Safety Research
View Paper: https://www.semanticscholar.org/paper/8c0bac2777ae976f221914709fb9dc3d307d6721
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Gijs van de Kuilen
- Adam S. Booij
- Mei Wang
- Renate Schubert
- Thomas Epper
- Helga Fehr-Duda
- Brent Simpson
- Marc Oliver Rieger
In General Decision Sciences
- Thomas Epper
- Helga Fehr-Duda
- Adrian Bruhin
- Gijs van de Kuilen
- Adam S. Booij
- Mei Wang
- Renate Schubert
- Marc Oliver Rieger
In Safety Research
- Gijs van de Kuilen
- Adam S. Booij
- Mei Wang
- Thomas Epper
- Renate Schubert
- Helga Fehr-Duda
- Brent Simpson
- Marc Oliver Rieger
Citations in the corpus
- Emotional reactions to losing explain gender differences in entering a risky lottery (2010, background): “Women, for instance, are substantially less likely than men to enter lotteries (Fehr-Duda et al., 2006).”
- Analyzing and managing risks – on the importance of gender differences in risk attitudes (2006, result): “Empirical work which is strongly related to prospect theory-based decision models gives the following main results (Powell et al., 2001; Fehr-Duda et al., 2004): In general, risky decisions result from a combination of outcome evaluations and probability judgments.”
- Gender and risk: women, risk taking and risk aversion (2010, background): “Evidence suggests that this is because women estimate the probability of gains and losses differently than men (Fehr-Duda et al., 2006; Olsen and Cox, 2001).”
- Risk Preferences Around the World (2015, background): “…et al. (2006) find no gender difference in utility curvature in gains and losses, suggesting that the observed differences in risk attitudes may be driven by loss aversion (Booij and van de Kuilen 2009, Brooks and Zank 2005, Schmidt and Traub 2002) or probability weighting (Fehr-Duda et al. 2006).”
- Viewing the future through a warped lens: Why uncertainty generates hyperbolic discounting (2011, result): “…papers have looked into the relationship between cognitive abilities 18While not significantly different from zero, coefficients exhibit the expected signs: Females have a slightly more subproportional weighting curve, consistent with previous findings (Fehr-Duda, de Gennaro, and Schubert, 2006).”
- A parameter-free analysis of the utility of money for the general population under prospect theory (2009, methodology): “Our finding that there is no significant gender effect concerning the degree of utility curvature confirms the findings of Fehr-Duda et al. (2006), who also do not find gender differences in the utility functions for both gains and losses based on parametric fittings using a student subject pool.”
- Chapter 21 - Household Finance: An Emerging Field∗ (2013, neutral): “This result extends 27 In experimental settings, Holt and Laury (2002), Powell and Ansic (1997), Fehr-Duda, Gennaro, and Schubert (2006).”
- Gender and competition in adolescence: task matters (2013, result): “The constant probability diminishes problems with gender differences in probability weighting (e.g. Fehr-Duda et al. 2006) and this measure has also 6In one of our previous studies in Sweden, the math task has been rated as more boyish and the word task as more girlish by both genders (Cárdenas et…”