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Fertility Assimilation of Immigrants: Evidence from Count Data Models
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In this article, the authors apply count data estimation techniques to investigate the fertility adjustment of immigrants in the destination country and find evidence in favor of the assimilation model according to which immigrant fertility converges to native levels over time.Abstract:
This study applies count data estimation techniques to investigate the fertility adjustment of immigrants in the destination country. Data on completed fertility are taken from the 1996 wave of the German Socioeconomic Panel (GSOEP). While the economic literature stresses the role of prices and incomes as determinants of fertility, the demographic literature discusses whether assimilation or disruption effects dominate immigrants' fertility after migration. We find evidence in favor of the assimilation model according to which immigrant fertility converges to native levels over time. In addition, we confirm the negative impact of female human capital on fertility outcomes.read more
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A Treatise on the Family
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First child of immigrant workers and their descendants in West Germany: Interrelation of events, disruption, or adaptation?
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References
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Book
Generalized Linear Models
Peter McCullagh,John A. Nelder +1 more
TL;DR: In this paper, a generalization of the analysis of variance is given for these models using log- likelihoods, illustrated by examples relating to four distributions; the Normal, Binomial (probit analysis, etc.), Poisson (contingency tables), and gamma (variance components).
Book
A Treatise on the Family
TL;DR: The Enlarged Edition as mentioned in this paper provides an overview of the evolution of the family and the state Bibliography Index. But it does not discuss the relationship between fertility and the division of labor in families.
Journal ArticleDOI
Generalized linear models. 2nd ed.
Peter McCullagh,John A. Nelder +1 more
TL;DR: A class of statistical models that generalizes classical linear models-extending them to include many other models useful in statistical analysis, of particular interest for statisticians in medicine, biology, agriculture, social science, and engineering.
Journal ArticleDOI
Generalized Linear Models
TL;DR: Generalized linear models, 2nd edn By P McCullagh and J A Nelder as mentioned in this paper, 2nd edition, New York: Manning and Hall, 1989 xx + 512 pp £30
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