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Can someone with an access to the article provide more information on the direction in which the "willingness to take risks, patience, altruism, positive and ne

Can someone with an access to the article provide more information on the direction in which the "willingness to take risks, patience, altruism, positive and negative reciprocity, and trust" is associated with gender?

grenoire 8y ago
There's a figure for those properties, and the textual summary would be: "The symbols + and − in the panel titles indicate the sign of the difference for each preference; + indicates that positive differences correspond to women exhibiting higher levels of the respective preference, whereas − indicates that positive differences correspond to women exhibiting lower levels of the respective preference." There are the six categories in the order of: Altruism, Trust, Positive and Negative Reciprocity, Risk Taking, and Patience. The signs associated are, for the log GDP per capita quartiles: +, +, +, -, -, - respectively for categories listed above, where the graphs demonstrate increasing levels of differences (in standard deviations). For the Gender Equality index, it's almost exactly the same except for positive reciprocity, where the curve is a little flatter than its GDP per capita counterpart.
Kaveren 8y ago
> "Women tended to be more prosocial and less negatively reciprocal than men, with differences in standard deviations of 0.106 for altruism (P < 0.0001), 0.064 for trust (P < 0.0001), 0.055 for positive reciprocity (P < 0.0001), and 0.129 for negative reciprocity (P < 0.0001). Turning to nonsocial preferences, women were less risk-taking by 0.168 standard deviations (P < 0.0001) and less patient by 0.050 standard deviations (P < 0.0001) (26). The observed differences in preferences set the stage for our analysis."[0] The context of this quote and the tables are provided by the other commenter. [0] "(26)" in the quote refers to a footnote. Edit: Fixed hyphen space in quote.
- belorn 8y ago
  There difference is then in the realm of 5-17%, right?
- amanaplanacanal 8y ago
  Those seem like such small differences. It's interesting that they lead to such large outcomes.
  - gowld 8y ago
    It's what you'll find in non-linear systems. For example: Preferring to not be an extreme minority leads to extreme segregation, since local attempts to resolve the problem make it globally worse: https://www.wired.com/2014/12/empzeal-parable-polygons/ https://www.wired.com/2014/12/empzeal-parable-polygons/ https://ncase.me/polygons/ https://ncase.me/polygons/

grenoire 8y ago

There's a figure for those properties, and the textual summary would be: "The symbols + and − in the panel titles indicate the sign of the difference for each preference; + indicates that positive differences correspond to women exhibiting higher levels of the respective preference, whereas − indicates that positive differences correspond to women exhibiting lower levels of the respective preference." There are the six categories in the order of: Altruism, Trust, Positive and Negative Reciprocity, Risk Taking, and Patience. The signs associated are, for the log GDP per capita quartiles: +, +, +, -, -, - respectively for categories listed above, where the graphs demonstrate increasing levels of differences (in standard deviations). For the Gender Equality index, it's almost exactly the same except for positive reciprocity, where the curve is a little flatter than its GDP per capita counterpart.

Kaveren 8y ago

> "Women tended to be more prosocial and less negatively reciprocal than men, with differences in standard deviations of 0.106 for altruism (P < 0.0001), 0.064 for trust (P < 0.0001), 0.055 for positive reciprocity (P < 0.0001), and 0.129 for negative reciprocity (P < 0.0001). Turning to nonsocial preferences, women were less risk-taking by 0.168 standard deviations (P < 0.0001) and less patient by 0.050 standard deviations (P < 0.0001) (26). The observed differences in preferences set the stage for our analysis."[0] The context of this quote and the tables are provided by the other commenter. [0] "(26)" in the quote refers to a footnote. Edit: Fixed hyphen space in quote.

belorn 8y ago
There difference is then in the realm of 5-17%, right?
amanaplanacanal 8y ago
Those seem like such small differences. It's interesting that they lead to such large outcomes.
- gowld 8y ago
  It's what you'll find in non-linear systems. For example: Preferring to not be an extreme minority leads to extreme segregation, since local attempts to resolve the problem make it globally worse: https://www.wired.com/2014/12/empzeal-parable-polygons/ https://www.wired.com/2014/12/empzeal-parable-polygons/ https://ncase.me/polygons/ https://ncase.me/polygons/