The Oxford Handbook of Women and the Economy 2017
DOI: 10.1093/oxfordhb/9780190628963.013.15
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Biology and Gender in the Labor Market

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 2 publications
(5 citation statements)
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References 75 publications
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“…One possible explanation for our 3 A large literature has documented gender differences in psychological traits and measures of preferences (e.g., Bertrand, 2010;Niederle, 2014). While some of these differences may have biological origins (e.g., risk-taking preferences appear to be correlated with testosterone levels, which are on average higher in men), the role of biology in shaping preferences is not yet clear, see, e.g., Cobb-Clark (2017). results is that the price difference reflects a quality difference that can be attributed to women's historical lack of access to art education and resources (e.g., Nochlin, 1971;Davis, 2015). While selection might lead the average quality of women's art entering the secondary market to be better, not worse, than the average quality of the men's art (see also Cameron et al, 2017), the importance of selection depends on the process through which art reaches the secondary market.…”
mentioning
confidence: 97%
“…One possible explanation for our 3 A large literature has documented gender differences in psychological traits and measures of preferences (e.g., Bertrand, 2010;Niederle, 2014). While some of these differences may have biological origins (e.g., risk-taking preferences appear to be correlated with testosterone levels, which are on average higher in men), the role of biology in shaping preferences is not yet clear, see, e.g., Cobb-Clark (2017). results is that the price difference reflects a quality difference that can be attributed to women's historical lack of access to art education and resources (e.g., Nochlin, 1971;Davis, 2015). While selection might lead the average quality of women's art entering the secondary market to be better, not worse, than the average quality of the men's art (see also Cameron et al, 2017), the importance of selection depends on the process through which art reaches the secondary market.…”
mentioning
confidence: 97%
“…Studies consistently report that women are more risk averse than men and are less willing to compete, especially with men (see literature reviews by Croson andGneezy 2009 andNiederle 2016). Women are also, on average, more neurotic, agreeable, and conscientious (South et al 2018), are better at recognising colours and hearing faint sounds, and have a better sense of touch, smell, and taste, but are more sensitive to noises and perform worse on spatial tasks (Cobb-Clark 2016). Empirical evidence on the role of noncognitive skills for gender differences in labour market outcomes is to date rather scarce.…”
Section: Noncognitive Skillsmentioning
confidence: 99%
“…It is not fully clear, however, whether these findings are purely driven by biological factors or socialisation patterns (Bertrand 2011). Furthermore, studies find that noncognitive skills mostly influence occupational choices (Baker and Cornelson 2018;Cobb-Clark and Tan 2011), but their role for men's and women's wages is less clear (Blau and Kahn 2017). As argued by Cobb-Clark (2016), risk aversion or extroversion may be a disadvantage in some jobs, but an asset in others.…”
Section: Noncognitive Skillsmentioning
confidence: 99%
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