Documents Rossen, Anja 6 results

"This paper estimates size and impact factors of the gender pay gap in Europe. It adds to the literature in three aspects. First, we update existing figures on the gender pay gaps in the EU based on the Structure of Earnings Survey 2010 (SES). Second, we enrich the literature by undertaking comprehensive country comparisons of the gap components based on an Oaxaca-Blinder decomposition. Overall, we analyze 21 EU countries plus Norway, which clearly exceeds the scope of existing microdata studies. Third, we examine the sources of the unexplained gap. We find that about one third of the gap can be traced back to the role of the explanatory factors included in our analysis. The sectoral segregation of genders is identified as the most important barrier to gender pay equality in European countries. In addition, the fact that part-time positions are more frequent among women notably contributes to the gap. We conclude that policies aiming at closing the gender pay gap should focus more on the sector level than on the aggregate economy."

"This study investigates the incidence of overeducation among workers in the EU and its underlying factors based on the most recent wave of the European Labor Force Survey (EU-LFS 2013). Its main purpose is to shed light on the interplay of so far neglected explanatory factors such as household characteristics and field of study as well as to reveal country differences in the impact of these factors. Therefore, our innovative features are the large number of determinants as well as the considerable amount of European countries simultaneously analyzed. Moreover, we differentiate in our analysis between high- and medium-skilled workers. Our findings point to a considerable variation in the potential determinants of overeducation across countries as well as across skill levels. This variation is not restricted to jobrelated characteristics, but interestingly also concerns household variables. Among those determinants showing a largely uniform influence are nationality, job tenure, temporary employment and presence of unemployed household members."

"This study investigates the incidence of overeducation among graduate workers in 21 EU countries and its underlying factors based on the European Labor Force Survey 2016 (EU-LFS). Although controlling for a wide range of covariates, the particular interest lies in the role of fields of study for vertical educational mismatch. The study reveals country and gender differences in the impact of these factors. Compared to Social Sciences, male graduates from e.g. Education, Health and Welfare, Engineering, and ICT are less and those from e.g. Services and Natural Sciences are more at risk in a clear majority of countries. These findings hold for the majority of countries and are robust against a change of the standard education. However, countries show different gendered patterns of field-specific risks. We suggest that occupational closure, productivity signals and gender stereotypes answer for these cross-field and cross-country differentials. Moreover, country fixed effects point to relevant structural differences between national labour markets and between educational systems."

"This paper provides first-time evidence on the magnitude and determinants of regional differences in the gender pay gap (GPG) in Germany. Using a comprehensive data set of all full-time employees, we conduct Oaxaca-Blinder decompositions for Germany and its regions to explain the regional variation of the GPG with theory-based individual, job-related and regional characteristics. Our results provide several novel insights into the regional dimension of the GPG. First, men's wages are more strongly correlated with the regional GPG than those of women, indicating that their wages drive the regional variation in the GPG much more than the wages of women. Second, the decomposition results reveal pronounced differences in the impact of the individual and job-related characteristics between the regions. Whereas job-related characteristics are important in regions with a high GPG, individual characteristics rather come into play in regions with a low or negative GPG. The results underscore the role played by the establishment composition in a region and the kind of jobs provided for the regional GPG. Women earn more than men in regions with a weak local economic structure and the absence of large firms providing well-paid manufacturing jobs. In regions with a high GPG, in contrast, men usually benefit from such jobs. The third result relates to the validity of the theoretical determinants of the GPG in regional respect. In contrast to the clear-cut decomposition results at the national level, at the regional level their validity mainly applies to specific subsets of regions. We conclude that analyses at the national level come too short in precisely explaining the regional variation of the GPG."

"Der Kurzbericht stellt die Ergebnisse der regionalen IAB-Arbeitsmarktprognosen 2020/2021 für die sozialversicherungspflichtige Beschäftigung und die Arbeitslosigkeit auf Ebene der Bundesländer vor. In einigen Bundesländern wird für das Jahr 2020 trotz der Covid-19-Pandemie ein Anstieg der Beschäftigung erwartet. Für 2021 geht das Autorenteam davon aus, dass es in allen Bundesländern zu einem Beschäftigungsaufbau kommt. Im Vergleich zur Entwicklung vor der Covid-19-Pandemie fällt das prognostizierte Beschäftigungswachstum allerdings niedriger aus. Gleichzeitig sinkt im nächsten Jahr die Zahl der Arbeitslosen nahezu flächendeckend. Dieser Rückgang findet mit Ausnahme einiger westdeutscher Bundesländer überwiegend im Rechtskreis SGB III statt. In den meisten ostdeutschen Flächenländern werden höhere Rückgänge der Arbeitslosigkeit prognostiziert als vor der Corona-Krise."

"Dass Frauen in Deutschland weniger verdienen als Männer, gilt gemeinhin als bekannt. Die nationale Betrachtung verdeckt jedoch große Unterschiede zwischen den einzelnen Regionen. Im Folgenden zeigen wir diese regionalen Unterschiede mit dem so genannten Gender Pay Gap (GPG) auf. Datengrundlage bildet hierbei der nominale Lohn (brutto), den sozialversicherungspflichtig Vollzeitbeschäftigte zum Stichtag 30.06.2021 in einer bestimmten Region verdient haben."