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
Englisch

Erschienen in
Series: IZA Discussion Papers ; No. 8396

Klassifikation
Wirtschaft
Fertility; Family Planning; Child Care; Children; Youth
Thema
Multinomial Logit
Markov Chain Monte Carlo
Transition Data
family gap
timing of birth
fertility
Panel Data

Ereignis
Geistige Schöpfung
(wer)
Frühwirth-Schnatter, Sylvia
Pamminger, Christoph
Weber, Andrea
Winter-Ebmer, Rudolf
Ereignis
Veröffentlichung
(wer)
Institute for the Study of Labor (IZA)
(wo)
Bonn
(wann)
2014

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Frühwirth-Schnatter, Sylvia
  • Pamminger, Christoph
  • Weber, Andrea
  • Winter-Ebmer, Rudolf
  • Institute for the Study of Labor (IZA)

Entstanden

  • 2014

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