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Migration and Human Capital in an Endogenous Fertility Model

Authors: Luca MARCHIORI; Patrice PIERETTI; Benteng ZOU;

Migration and Human Capital in an Endogenous Fertility Model

Abstract

How do high and low skilled migration affect fertility and human capital in migrants' origin countries? This question is analyzed within an overlapping generations model where parents choose the number of high and low skilled children they would like to have. Individuals migrate with a certain probability and remit to their parents. It is shown that a brain drain induces parents to have more high and less low educated children. Under certain conditions fertility may either rise or decline due to a brain drain. Low skilled emigration leads to reversed results, while the overall impact on human capital of either type of migration remains ambiguous. Subsequently, the model is calibrated on a developing economy. It is found that increased high skilled emigration reduces fertility and fosters human capital accumulation, while low skilled emigration induces higher population growth and a lower level of education.

Country
Germany
Related Organizations
Keywords

Fertility, Migration, Human capital, Bildungsinvestition, Auswanderung, Brain Drain, 330, ddc:330, J13, J24, Fertility, Humankapital, Fruchtbarkeit, Human capital, F22, Entwicklungsländer, Rücküberweisung (Migranten), Theorie, Migration, jel: jel:F22, jel: jel:J13, jel: jel:J24

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average
Green
bronze