Playing roulette with money and lives: Gender differences in risk preferences and response times

2009 ◽  
Author(s):  
Ursina Teuscher ◽  
Virginia S. Kay ◽  
Bruce W. Smith
Keyword(s):  
Gender Differences ◽  
Response Times ◽  
Risk Preferences

scholarly journals Investigating Gender Differences in Human Interactions with a Transparent Swarm

2019 ◽  
Vol 63 (1) ◽  
pp. 853-857
Author(s):  
Aya Hussein ◽  
Sondoss Elsawah ◽  
Hussein Abbass
Keyword(s):  
Gender Differences ◽  
User Study ◽  
Time Window ◽  
Response Times ◽  
Research Question ◽  
Human Machine Interaction ◽  
Team Collaboration ◽  
Human Interactions ◽  
Processing Strategies ◽  
And Performance

Research suggests that different operationalisations of automation transparency can influence team collaboration and performance. Yet, little is known about how gender differences can affect humans’ ability to process the information provided by their automation teammate when the automation is transparent. The significance of this research question stems from the fact that the broader areas of judgment and decision making show that females and males deploy different information processing strategies. The aim of this paper is to explore whether gender differences exist in the way people interact with a transparent swarm. We conducted a user study in which 33 subjects (15 males and 18 females) interacted with a simulated swarm under two conditions: with and without transparency. While no significant differences were detected under the control condition, results indicate that when transparency was added, males were able to utilise transparency early on, while females needed significantly more time to benefit from it. Besides, under the transparency condition, females exhibited significantly longer response times than males. However, as time progresses and towards the last time window of the experiment, females could achieve slightly higher decision accuracy than males. These findings stress the need to consider gender differences when designing transparent human-machine interaction and its training protocols.

Gender Differences in Preferences

2009 ◽  
Vol 47 (2) ◽  
pp. 448-474 ◽  
Author(s):  
Rachel Croson ◽  
Uri Gneezy
Keyword(s):  
Gender Differences ◽  
Risk Preferences ◽  
Economic Experiments ◽  
Starting Point ◽  
Other Regarding ◽  
Other Regarding Preferences ◽  
Gender Specific

This paper reviews the literature on gender differences in economic experiments. In the three main sections, we identify robust differences in risk preferences, social (other-regarding) preferences, and competitive preferences. We also speculate on the source of these differences, as well as on their implications. Our hope is that this article will serve as a resource for those seeking to understand gender differences and to use as a starting point to illuminate the debate on gender-specific outcomes in the labor and goods markets.

scholarly journals Invest As I Say, Not As I Do? Gender Dif-ferences In Financial Risk Preferences

2011 ◽  
Vol 1 (1) ◽  
Author(s):  
Nancy Ammon Jianakoplos
Keyword(s):  
Gender Differences ◽  
Asset Allocation ◽  
Financial Risk ◽  
Risk Preferences ◽  
Financial Risks ◽  
Financial Assets ◽  
Survey Of Consumer Finances ◽  
Risky Assets ◽  
Consumer Finances ◽  
Using Data

This paper examines gender differences in stated versus observed financial risk preferences. The responses of women versus men to a question regarding financial risk preferences are compared to the proportion of risky assets held in their portfolios using data from the 1995 Survey of Consumer Finances. The data show that women are more likely to express an unwillingness to take financial risks. Stated financial risk preferences are found to be consistent with observed risk preferences at the ordinal, but not the quantitative, level. Contradicting their stated risk preferences, risky assets constitute, on average, one-third of the financial assets of households that indicate they are unwilling to take any financial risks. Financial planners and advisers frequently use a clients expressed willingness to take on risk as an important determinant in asset allocation recommendations. Consistent gender differences in these responses, in addition to inconsistencies between the clients stated risk preferences and observed portfolio allocation, may lead advisers to make inappropriate recommendations.

Gender Differences in Criterion Task Set Performance and Subjective Ratings

1988 ◽  
Vol 32 (14) ◽  
pp. 848-852
Author(s):  
Betina Schlegel ◽  
Robert E. Schlegel ◽  
Kirby Gilliland
Keyword(s):  
Gender Differences ◽  
Large Scale ◽  
Response Times ◽  
Memory Search ◽  
False Alarms ◽  
Subjective Ratings ◽  
Task Set ◽  
Criterion Task ◽  
Number Of False Alarms ◽  
High Level

This paper summarizes gender differences in performing various elements of the Criterion Task Set. Performance data and Subjective Workload Assessment Technique ratings were analyzed for 28 men and 28 women who participated in a large-scale CTS validation study. In general, women tended to perform slightly better than men on the majority of tasks. In particular, performance by women was better on Grammatical Reasoning, Linguistic Processing, Mathematical Processing, and Memory Search. Response times on Probability Monitoring were faster for women but at the expense of a greater number of False Alarms. Men performed better only on the high level of Continuous Recall and the medium level of Unstable Tracking. Women tended to give lower subjective ratings than men to those tasks with a high memory component and gave higher ratings than men to those tasks involving input/output and spatial elements.

scholarly journals Are Early Stage Investors Biased Against Women?

2020 ◽  
Author(s):  
Michael Ewens ◽  
Richard R. Townsend
Keyword(s):  
Gender Differences ◽  
Early Stage ◽  
Risk Preferences ◽  
Female Entrepreneurs ◽  
Gender Biases

We study whether early stage investors have gender biases using a proprietary dataset from An- gelList that allows us to observe private interactions between investors and fundraising startups. We find that male investors express less interest in female entrepreneurs compared to observably similar male entrepreneurs. In contrast, female investors express more interest in female entrepreneurs. These findings do not appear to be driven by within-gender screening/monitoring advantages or gender differences in risk preferences. Moreover, the male-led startups that male investors express interest in do not outperform the female-led startups they express interest in—they underperform. Overall, the evidence is consistent with gender biases.

Sign in / Sign up

Export Citation Format

Share Document