We investigate whether the Big Five Personality Dimensions contribute to explaining gender and Migrant wage gaps by using a linked employer-employee dataset. We expand the scarce literature concerning personality traits and gender wage gaps in Germany and we provide first evidence for the relationship between the Big Five and the migrant wage gap. Our results reveal that the genders differ in their average personality traits, as do migrants and natives. Further, we find significant associations between the Big Five and wages. The magnitude of this relationship varies across the gender and the migratory status. The results of Oaxaca-Blinder wage decompositions suggest that the Big Five significantly contribute to explaining gender and migrant wage gaps.
Sequences of active labour market programmes (ALMPs) may be part of an intensified activation strategy targeting hard-to-place individuals who may be long-term unemployed and who may encounter extreme difficulty in finding jobs. Such sequences are very common among welfare recipients in Germany, but most studies only evaluate either single ALMPs or unemployed individuals' first ALMP. Thus, I analyse the effects of participation in different sequences of classroom training, unemployment benefit II (UB-II)-receipt and One-Euro-Jobs for West German men and women on different labour market outcomes. Using rich administrative data and a dynamic matching approach, I can control for dynamic selection problems that occur during a sequence.
IAB-Discussion Paper 24/2016