DOI: 10.26481/dis.20190220fm
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Individual motives for (re-)distribution

Abstract: People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the author… Show more

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(2 citation statements)
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“…Little is known to what extent institutional and policy contexts can shape the relationship between young motherhood and NEET -in particular with respect to the potential role of family policy. We combine data from the EU-LFS with macro-level indicators of family policies, and analyse NEET risks of 13,737 young mothers (20)(21)(22)(23)(24)(25)(26)(27)(28)(29) in 22 EU-countries. Results suggest that there is a link between costs of childcare and the likelihood to become NEET for young mothers across the EU.…”
Section: This Chapter Explores To What Extent the Risk That Young Mot...mentioning
confidence: 99%
See 1 more Smart Citation
“…Little is known to what extent institutional and policy contexts can shape the relationship between young motherhood and NEET -in particular with respect to the potential role of family policy. We combine data from the EU-LFS with macro-level indicators of family policies, and analyse NEET risks of 13,737 young mothers (20)(21)(22)(23)(24)(25)(26)(27)(28)(29) in 22 EU-countries. Results suggest that there is a link between costs of childcare and the likelihood to become NEET for young mothers across the EU.…”
Section: This Chapter Explores To What Extent the Risk That Young Mot...mentioning
confidence: 99%
“…One of the points of attention is whether policy interventions reach the groups that are most vulnerable. [15][16][17][18][19][20][21][22][23][24][25][26][27][28][29] As indicated earlier, Chapter 2 explores to what extent the likelihood of young people being long-term NEET can be explained by low literacy skills. Additionally, I assess how the NEET risk varies across advanced countries, and how this cross-national variation can be explained by education and social policies, in particular the vocational orientation of the education system, the Active Labour Market Policies and the type of welfare state regime.…”
mentioning
confidence: 99%