Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: http://hdl.handle.net/10419/101923
Autoren: 
Frühwirth-Schnatter, Sylvia
Pamminger, Christoph
Weber, Andrea
Winter-Ebmer, Rudolf
Datum: 
2014
Schriftenreihe/Nr.: 
IZA Discussion Papers No. 8396
Zusammenfassung: 
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.
Schlagwörter: 
Multinomial Logit
Markov Chain Monte Carlo
Transition Data
family gap
timing of birth
fertility
Panel Data
JEL: 
J13
Dokumentart: 
Working Paper

Datei(en):
Datei
Größe
380.39 kB





Publikationen in EconStor sind urheberrechtlich geschützt.