When Is The Best Time To Give Birth?

Arbeitspapier

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.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: NRN Working Paper, NRN: The Austrian Center for Labor Economics and the Analysis of the Welfare State ; No. 1409

Klassifikation und Themen

• Klassifikation: Wirtschaft
• Thema: fertility ; timing of birth ; family gap ; Transition Data ; Markov Chain Monte Carlo ; Multinomial Logit ; Panel Data

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Frühwirth-Schnatter, Sylvia ; Pamminger, Christoph ; Weber, Andrea ; Winter-Ebmer, Rudolf
• Ereignis: Veröffentlichung
• (wer): Johannes Kepler University Linz, NRN - The Austrian Center for Labor Economics and the Analysis of the Welfare State
• (wo): Linz
• (wann): 2014

Weitere Informationen

• Handle: http://hdl.handle.net/10419/115114
• Letzte Aktualisierung: 10.03.2025, 11:45 MEZ