Arbeitspapier
When Is the Best Time to Give Birth?
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, thus, classify women into five cluster-groups with very different long-run career costs of childbearing. We model group membership with a multinomial specification within the finite mixture model. This approach gives insights into the determinants of the long-run family gap. Giving birth late in life may lead very diverse outcomes: on the one hand, it increases the odds to drop out of labor force, and on the other hand, it increases the odds to reach a high-wage career track.
- Sprache
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Englisch
- Erschienen in
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Series: IZA Discussion Papers ; No. 8396
- Klassifikation
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Wirtschaft
Fertility; Family Planning; Child Care; Children; Youth
- Thema
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Multinomial Logit
Markov Chain Monte Carlo
Transition Data
family gap
timing of birth
fertility
Panel Data
- Ereignis
-
Geistige Schöpfung
- (wer)
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Frühwirth-Schnatter, Sylvia
Pamminger, Christoph
Weber, Andrea
Winter-Ebmer, Rudolf
- Ereignis
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Veröffentlichung
- (wer)
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Institute for the Study of Labor (IZA)
- (wo)
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Bonn
- (wann)
-
2014
- Handle
- Letzte Aktualisierung
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10.03.2025, 11:44 MEZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Frühwirth-Schnatter, Sylvia
- Pamminger, Christoph
- Weber, Andrea
- Winter-Ebmer, Rudolf
- Institute for the Study of Labor (IZA)
Entstanden
- 2014