2017
DOI: 10.1080/00036846.2017.1299100
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High school experiences, the gender wage gap, and the selection of occupation

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 5 publications
(6 citation statements)
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References 23 publications
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“…Chowdhury et al. (2019), Balcar and Hedija (2019), Biron and Hanuka (2018), Grönlund and Magnusson (2018), Strain and Webber (2017), Lott and Chung (2016), Janssen et al. (2016), Tinsley et al.…”
Section: Resultsmentioning
confidence: 99%
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“…Chowdhury et al. (2019), Balcar and Hedija (2019), Biron and Hanuka (2018), Grönlund and Magnusson (2018), Strain and Webber (2017), Lott and Chung (2016), Janssen et al. (2016), Tinsley et al.…”
Section: Resultsmentioning
confidence: 99%
“…Women do neither reap the benefits of working‐time autonomy (Lott & Chung, 2016) or of working from home (Tinsley et al, 2015). But self‐efficacy and leadership experience during adolescence payoff for women and not for men (Biron & Hanuka, 2018; Strain & Webber, 2017). Table A2 in the Appendix provides a more detailed summary of the magnitude of the effects of personality traits and social norms on earnings.…”
Section: Resultsmentioning
confidence: 99%
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“…The economic rationale for studying the wage gap is that social welfare maximization occurs when all productive resources, including human resources, are fully utilized. Gender wage gaps are of interest to economists, as they provide a better picture of the strength of the wage-productivity link, the drivers of productivity and occupation selection among others (Strain & Webber, 2017). Gender discrimination leads to lower efficiency, as skilled labor is wasted.…”
Section: Datamentioning
confidence: 99%