Quotation Frühwirth-Schnatter, Sylvia, Pamminger, Christoph, Weber, Andrea, Winter-Ebmer, Rudolf. 2016. Mothers' long-run career patterns after first birth. Journal of the Royal Statistical Society: Series A (Statistics in Society) 179 (3), 707-725.


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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.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Journal of the Royal Statistical Society: Series A (Statistics in Society)
Citation Index SSCI
WU Journalrating 2009 A
WU-Journal-Rating new FIN-A, VW-B, WH-B
Language English
Title Mothers' long-run career patterns after first birth
Volume 179
Number 3
Year 2016
Page from 707
Page to 725
Reviewed? Y
URL http://onlinelibrary.wiley.com/doi/10.1111/rssa.12151/abstract
DOI http://dx.doi.org/10.1111/rssa.12151

Associations

People
Frühwirth-Schnatter, Sylvia (Details)
Pamminger, Christoph (Former researcher)
Weber, Andrea (Details)
Winter-Ebmer, Rudolf (Former researcher)
Organization
Institute for Statistics and Mathematics IN (Details)
Institute for Labor Economics IN (Details)
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