A Reconsideration of Gender Differences in Risk Attitudes

Filippin, Antonio; Crosetto, Paolo

doi:10.1287/mnsc.2015.2294

Cited by 256 publications

(94 citation statements)

References 114 publications

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“…Two subjects were undecided between two of the integers, so we drop them from the analysis. 15 However, Crosetto and Fillipin (2013) find that gender risk-preference differences appear only when the task is more likely to trigger loss aversion; Filippin and Crosetto (2014) find that these differences are smaller with the Holt-Laury task.…”

Section: Discussionmentioning

confidence: 99%

Three Risk-elicitation Methods in the Field: Evidence from Rural Senegal

Charness

Viceisza

2016

RBE

110

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ABSTRACT:In the past decade, it has become common to use simple laboratory games and decision tasks as a device for measuring risk preferences in the developing world. In this paper, we build on existing taxonomies for risk elicitation and discuss pros and cons of using such methods in developing-country contexts. We use three distinct risk-elicitation mechanisms (the Holt-Laury task, the Gneezy-Potters mechanism, and a non-incentivized willingness-to-risk scale) and subjects from rural Senegal. Our study provides some guidance to researchers wishing to use risk-elicitation mechanisms in the rural developing world.

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Section: Discussionmentioning

confidence: 99%

Three Risk-elicitation Methods in the Field: Evidence from Rural Senegal

Charness

Viceisza

2016

RBE

110

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“…Importantly, we complement the BMI index with an indicator that captures the quality of diet and nutrition behaviour -HEI -proposed by the US Department of Agriculture (Fischbacher, 2007;Filippin & Crosetto, 2014;Flegal et al, 2005 ). The HEI is currently considered the most advanced and complete measure of nutritional balance and quality of diet.…”

Section: Hei Health Indexes and Control Variablesmentioning

confidence: 99%

“…This renders the HEI a global measure of how far away from an "individually optimal" nutritional balance the actual diet is (Fischbacher, 2007;Filippin & Crosetto, 2014 ).…”

Section: Hei Health Indexes and Control Variablesmentioning

confidence: 99%

Are You What You Eat? Healthy Behaviour and Risk Preferences

Galizzi

Miraldo

2017

The B.E. Journal of Economic Analysis &Amp; Policy

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Abstract:We elicit and estimate risk preferences for a pool of young adults in the UK, and explore their links with healthy eating and risky health behaviours. We construct the Healthy Eating Index (HEI) as an overall indicator of nutritional quality, and we use it to complement the body mass index BMI. While for females we find no significant association between the BMI and risk preferences, males with high BMI appear more risk-seeking. However, this association disappears when controlling for the quality of the diet. For males, the HEI is significantly associated with risk preferences. Males smoking status is not associated with risk preferences.

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“…Dohmen et al (2007) echo this sentiment by claiming that "Risk and uncertainty play a role in almost every important economic decision" (p. 522), although Filippin and Crosetto (2014) in completing a detailed statistical analysis of microdata as well as a thorough analysis of the experimental literature, concluded that although gender differences are statistically significant, the effect size tends to be small in terms of economic outcomes. In an examination of how gender pertains to risk preferences in the experimental economics literature findings have also included that "women are more risk averse than men in the vast majority of environments and tasks" (Croson & Gneezy 2009, p. 449), consistent across lab experiments ISSN 2162-4860 2017 and experiments conducted in the field.…”

Section: Literature Reviewmentioning

confidence: 99%

The Role of Gender, Cognitive Attributes and Personality on Willingness to Take Risks

Agnew

Harrison

2017

BER

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The aim of this research is to provide a further examination of the role gender plays as an influence on risk preferences. A combination of ordinary least squares (OLS) and logit regressions were carried out on data collected from 425 university students, including demographic and personality variables, along with GPA"s and CRT scores. This study found females reported lower levels of willingness to take risks than males. In an addition to the current literature, it was found that females also achieved lower scores on a cognitive reflection test (CRT). When separated by major, the gender gap was found to be the lowest for engineering and science students. None of CRT score, Maths GPA, or overall GPA were found to be correlated with risk willingness, suggesting societal conditioning as a possible cause of females being more risk averse than males. Personality variables along with gender were found to be correlated with willingness to take risk. These findings have implications for creating greater awareness of how females" different risk preferences are generated and managed.

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A Reconsideration of Gender Differences in Risk Attitudes

Cited by 256 publications

References 114 publications

Three Risk-elicitation Methods in the Field: Evidence from Rural Senegal

Three Risk-elicitation Methods in the Field: Evidence from Rural Senegal

Are You What You Eat? Healthy Behaviour and Risk Preferences

The Role of Gender, Cognitive Attributes and Personality on Willingness to Take Risks

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