2015
DOI: 10.1007/s10273-015-1814-y
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Die geschlechtsspezifische Lohnlücke in Deutschland: Umfang, Ursachen und Interpretation

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 20 publications
(30 citation statements)
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“…For Germany, for example, a study with Socio Economic Panel data (SOEP; cf. Wagner et al 2008) shows for the year 2011 that gender differences in employment experience answer for 5.6 percentage points out of the 22.8 % German gender pay gap (Boll/Leppin 2015). Firm tenure is not identical with work experience since firm tenure focuses on years of employment with the same employer whereas work experience is the aggregate sum of years of employment.…”
Section: The Eu Gender Earnings Gapmentioning
confidence: 99%
See 3 more Smart Citations
“…For Germany, for example, a study with Socio Economic Panel data (SOEP; cf. Wagner et al 2008) shows for the year 2011 that gender differences in employment experience answer for 5.6 percentage points out of the 22.8 % German gender pay gap (Boll/Leppin 2015). Firm tenure is not identical with work experience since firm tenure focuses on years of employment with the same employer whereas work experience is the aggregate sum of years of employment.…”
Section: The Eu Gender Earnings Gapmentioning
confidence: 99%
“…Whatever the sources of the women's lesser representation at the top, research suggests it can have substantial consequences for gender wage differences (Blau/Kahn 2016). This is witnessed by the higher pay gap at the top of the earnings distribution compared to median (OECD 2012: 167;Boll/Leppin 2015) or generally lower levels (Blau/Kahn 2016). According to a study with German micro data from 2011, the different occupational positioning of women and men contributed with 3.4 percentage points to the raw gap (Boll/ Leppin 2015).…”
Section: The Eu Gender Earnings Gapmentioning
confidence: 99%
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“…However, note that the adjusted gap does not equal discrimination (Boll/Leppin 2015). This becomes obvious by the fact that the constant which is included in the adjusted gap compris---es of unobservable individual effects.…”
mentioning
confidence: 95%