In:
Journal of the Royal Statistical Society Series A: Statistics in Society, Oxford University Press (OUP), Vol. 179, No. 3 ( 2016-06-01), p. 707-725
Abstract:
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.
Type of Medium:
Online Resource
ISSN:
0964-1998
,
1467-985X
Language:
English
Publisher:
Oxford University Press (OUP)
Publication Date:
2016
detail.hit.zdb_id:
204794-9
detail.hit.zdb_id:
1490715-X
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