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Kinder in Armutslagen : Konzepte, aktuelle Zahlen und Forschungsstand

Author

Listed:
  • Tophoven, Silke

    (Institute for Employment Research (IAB), Nuremberg, Germany)

  • Wenzig, Claudia

    (Institute for Employment Research (IAB), Nuremberg, Germany)

  • Lietzmann, Torsten

    (Institute for Employment Research (IAB), Nuremberg, Germany)

Abstract

"Official statistics show that children more often depend on social benefits and are more likely to live in low income households than other population groups. The material situation of children has to be considered within the household and family context. Children living in single-parent households show a particularly high risk of poverty. The risk of poverty for children also increases with the number of siblings. Unemployment or a low qualification level of the parents, as well as a non-German nationality are often associated with material deprivation during childhood. Living in poverty often goes along with restricted educational opportunities and a lower degree of social participation. Looking at existing research, in our view, a broader consideration of child poverty which combines different poverty indicators is missing so far. Common concepts of defining poverty have both advantages and disadvantages. Thus, a combination of different approaches to measure poverty is recommended. In addition, the longitudinal life course perspective on child poverty should be further developed." (Author's abstract, IAB-Doku) ((en))

Suggested Citation

  • Tophoven, Silke & Wenzig, Claudia & Lietzmann, Torsten, 2016. "Kinder in Armutslagen : Konzepte, aktuelle Zahlen und Forschungsstand," IAB-Forschungsbericht 201611, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  • Handle: RePEc:iab:iabfob:201611
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    File URL: https://doku.iab.de/forschungsbericht/2016/fb1116.pdf
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    References listed on IDEAS

    as
    1. Karl Ashworth & Martha Hill & Robert Walker, 1994. "Patterns of childhood poverty: New challenges for policy," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 13(4), pages 658-680.
    2. Christoph, Bernhard, 2015. "Empirische Maße zur Erfassung von Armut und materiellen Lebensbedingungen : Ansätze und Konzepte im Überblick," IAB-Discussion Paper 201525, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    3. Buhr, Petra, 2002. "Ausstieg wohin? Erwerbssituation und finanzielle Lage nach dem Ende des Sozialhilfebezugs," Working papers of the ZeS 04/2002, University of Bremen, Centre for Social Policy Research (ZeS).
    4. Mark Trappmann & Jonas Beste & Arne Bethmann & Gerrit Müller, 2013. "The PASS panel survey after six waves [Die PASS-Panelbefragung nach sechs Wellen]," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 46(4), pages 275-281, December.
    5. Trappmann, Mark & Beste, Jonas & Bethmann, Arne & Müller, Gerrit, 2013. "The PASS panel survey after six waves," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 46(4), pages 275-281.
    6. Mary Jo Bane & David T. Ellwood, 1986. "Slipping into and out of Poverty: The Dynamics of Spells," Journal of Human Resources, University of Wisconsin Press, vol. 21(1), pages 1-23.
    7. Adrian Hille & Annegret Arnold & Jürgen Schupp, 2013. "Freizeitverhalten Jugendlicher: bildungsorientierte Aktivitäten spielen eine immer größere Rolle," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 80(40), pages 15-25.
    8. Greg Duncan & Katherine Magnuson & Ariel Kalil & Kathleen Ziol-Guest, 2012. "The Importance of Early Childhood Poverty," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 108(1), pages 87-98, August.
    9. Nicole Schmiade & C. Katharina Spieß, 2010. "Einkommen und Bildung beeinflussen die Nutzung frühkindlicher Angebote außer Haus," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 77(45), pages 15-21.
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