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Nichtbezug von Sozialhilfe: Regionale Unterschiede und die Bedeutung von sozialen Normen

Listed author(s):
  • Oliver Hümbelin

    ()

Registered author(s):

    Moderne Wohlfahrtsstaaten bieten in der Regel Schutz vor Armut, in dem Haushalten unter der Grenze des Existenzminimums durch Sozialhilfe unterstützt werden. In den meisten Ländern wird von dieser Möglichkeit jedoch nicht erschöpfend Gebrauch gemacht. Wenn Nichtbezugsquoten hoch sind, ist fraglich, inwiefern die Instrumente der Armutspolitik adäquat konzipiert sind. Auf der Basis von Steuerdaten des Kantons Bern ermittelt die vorliegende Studie den Bevölkerungsanteil mit rechnerischem Anspruch auf Sozialhilfe. Der Anteil der Nichtbeziehenden wird dabei auf 26,3 Prozent geschätzt. Die Analyse der regionalen Unterschiede legt ferner die Vermutung nahe, dass neben rein pekuniären Faktoren, soziale Erwartungen und Einstellungen zum Sozialhilfebezug mit eine Rolle bei der Nichtinanspruchnahme von Sozialhilfeleistungen spielen. Diese tragen zur Erklärung des in vielen Studien gefundenen Unterschieds des Nichtbezuges von Stadt und Land erheblich bei, neben weiteren Faktoren wie die Wirtschaftsstruktur und die Dichte der sozialen Netzwerke.

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    File URL: http://repec.sowi.unibe.ch/files/wp21/Huembelin-2016-NonTakeUp.pdf
    File Function: Revised version, 2016
    Download Restriction: no

    Paper provided by University of Bern, Department of Social Sciences in its series University of Bern Social Sciences Working Papers with number 21.

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    Length: 33 pages
    Date of creation: 06 May 2016
    Date of revision: 26 Oct 2016
    Handle: RePEc:bss:wpaper:21
    Contact details of provider: Web page: http://www.sowi.unibe.ch/

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    1. Moffitt, Robert, 1983. "An Economic Model of Welfare Stigma," American Economic Review, American Economic Association, vol. 73(5), pages 1023-1035, December.
    2. Virginia Hernanz & Franck Malherbet & Michele Pellizzari, 2004. "Take-Up of Welfare Benefits in OECD Countries: A Review of the Evidence," OECD Social, Employment and Migration Working Papers 17, OECD Publishing.
    3. Koller, Manuel & Stahel, Werner A., 2011. "Sharpening Wald-type inference in robust regression for small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(8), pages 2504-2515, August.
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