Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/287781 
Erscheinungsjahr: 
2022
Quellenangabe: 
[Journal:] Journal of the Royal Statistical Society: Series A (Statistics in Society) [ISSN:] 1467-985X [Volume:] 185 [Publisher:] Wiley [Place:] Hoboken, NJ [Year:] 2022 [Pages:] S515-S546
Verlag: 
Wiley, Hoboken, NJ
Zusammenfassung: 
This study demonstrates the importance of accounting for correlated unobserved heterogeneity to correctly identify the relevance of career and education for fertility decisions. By exploiting individual‐level life‐cycle information on fertility, career and education from large administrative longitudinal datasets, this paper shows that non‐linear panel models produce substantially different results than the cross‐sectional approaches widely used in previous studies. Higher opportunity costs of having children are found to be associated with lower fertility within a country, while the magnitude of the adjustment differs strongly across countries. In Germany, fertility decisions are found to depend more on individual circumstances than in France, where better public childcare support enhances the compatibility between family and professional life.
Schlagwörter: 
correlated random effects
family policy
Poisson panel regression
unobserved heterogeneity
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Dokumentart: 
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Dokumentversion: 
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