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Mothers' long‐run career patterns after first birth
Author(s) -
FrühwirthSchnatter Sylvia,
Pamminger Christoph,
Weber Andrea,
WinterEbmer Rudolf
Publication year - 2016
Publication title -
journal of the royal statistical society: series a (statistics in society)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.103
H-Index - 84
eISSN - 1467-985X
pISSN - 0964-1998
DOI - 10.1111/rssa.12151
Subject(s) - odds , multinomial logistic regression , markov chain , cluster analysis , cluster (spacecraft) , parental leave , demography , psychology , computer science , statistics , sociology , mathematics , logistic regression , work (physics) , programming language , mechanical engineering , engineering
Summary Using Bayesian Markov chain clustering analysis we investigate career paths of Austrian women after their first birth. This data‐driven method allows characterizing long‐term career paths of mothers over up to 19 years by transitions between parental leave, non‐employment and different forms of employment. We classify women into five cluster groups with very different long‐run career trajectories after childbearing. We further model group membership with a multinomial specification within the finite mixture model. This approach gives insights into the determinants of long‐run outcomes. In particular, giving birth at an older age appears to be associated with very diverse outcomes: it is related to higher odds of dropping out of the labour force, on the one hand, but also to higher odds of reaching a high wage career track, on the other hand.