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.
BibTeX
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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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)
- Department of Economics (Kartal) (Details)