No 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 der dort genannten Lizenz gewährten Nutzungsrechte.Gender differences in wages are a persistent pattern in most European countries. This study analyses the earnings divide between men and women and the driving forces behind it in 26 countries. In 2014, the cross-country gender pay gap stood at 14.2%. However, countrylevel results differ tremendously with high gaps of more than 20% in Estonia and Germany and gaps below 5% in Belgium, Luxembourg, Slovenia and Romania. While part of the earnings divide can be explained by gendered sector affi liation and the high share of atypical employment among women, a large portion of the gender pay gap remains unexplained by the data. Even though the gender pay gap statistics are unable to identify the (non-)existence of discrimination, it still calls for diverse measures both at the state and the fi rm level.

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 der dort genannten Lizenz gewährten Nutzungsrechte.

Theory suggests that in a partnership, the individual with the lower working hours and earnings position should exhibit lower training participation rates. Since women are more likely to match this description, we investigate whether systematic group differences in earnings position and working hours explain gender variation. Across all countries, male workers are unaffected by their earnings position. For female workers in Germany, not Italy or the Netherlands, working part‐time instead of full‐time corresponds with a decrease in course length by 5.5 hours. Regarding German part‐ (full‐)time employed women, single earners train 5.6 (2.9) hours more than secondary earners.

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 analyse 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. Human capital related factors are of minor importance. Instead, 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. Furthermore, sector premiums are generally to men's advantage, this might point to a less advanta-geous within-sector positional sorting for women compared to men. We conclude that policies aiming at closing the gender pay gap should focus more on the sector level than on the aggregate economy.