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Nichtinanspruchnahme von Sozialhilfe. Eine empirische Analyse des Unerwarteten / Non-take-up Behavior of Social Assistance in Germany. An Empirical Investigation of Unexpected Reactions

Author Info

Listed author(s):
  • Wilde Joachim

    ()

  • Kubis Alexander

    ()

    (Wirtschaftswissenschaftliche Fakultät, Große Steinstr. 73, D-06099 Halle, Germany)

Abstract

Concerning German social assistance earlier studies calculate a non-take-up rate of more than 50 percent. This contradicts intuition. Using data from the low-income panel we estimate eligibility and non-take-up rate more precisely. However, avoiding simulation errors of earlier studies reduces the rate only slightly. Therefore, we estimate a multiple probit model to explain the nontake- up behavior. Significant reasons are low claims, stigma and the expectation of a short life of eligibility. Additionally, we show a significant simultaneous relation between earned income and the tendency to participate in social assistance. The sign is negative in both directions.

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Article provided by De Gruyter in its journal Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik).

Volume (Year): 225 (2005)
Issue (Month): 3 (June)
Pages: 347-373

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Handle: RePEc:jns:jbstat:v:225:y:2005:i:3:p:347-373
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Keywords: Social assistance; non-take-up behavior; probit model; simultaneous equation model;

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  1. Klaus F. Zimmermann, 2003. "Beschäftigungspotentiale im Niedriglohnsektor," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 72(1), pages 11-24.
  2. Rebecca M. Blank & Patricia Ruggles, 1996. "When Do Women Use Aid to Families with Dependent Children and Food Stamps? The Dynamics of Eligibility Versus Participation," Journal of Human Resources, University of Wisconsin Press, vol. 31(1), pages 57-89.
  3. Hilke Almut Kayser & Joachim R. Frick, 2000. "Take It or Leave It: (Non-) Take-up Behavior of Social Assistance in Germany," Discussion Papers of DIW Berlin 210, DIW Berlin, German Institute for Economic Research.
  4. Riphahn, Regina T., 2000. "Rational Poverty or Poor Rationality? The Take-up of Social Assistance Benefits," IZA Discussion Papers 124, Institute for the Study of Labor (IZA).
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Cited by:

  1. Bruckmeier, Kerstin & Wiemers, Jürgen, 2016. "Differences in welfare take-up between immigrants and natives : a microsimulation study," IAB Discussion Paper 201608, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  2. Wiemers, Jürgen, 2015. "Endogenizing take-up of social assistance in a microsimulation model : a case study for Germany," IAB Discussion Paper 201520, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  3. Bruckmeier, Kerstin & Wiemers, Jürgen, 2011. "A new targeting - a new take-up? : non-take-up of social assistance in Germany after social policy reforms," IAB Discussion Paper 201110, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  4. Joachim R. Frick & Olaf Groh-Samberg, 2007. "To Claim or Not to Claim: Estimating Non-take-up of Social Assistance in Germany and the Role of Measurement Error," Discussion Papers of DIW Berlin 734, DIW Berlin, German Institute for Economic Research.
  5. Stefanie P. Herber & Michael Kalinowski, 2016. "Non-Take-Up of Student Financial Aid: A Microsimulation for Germany," SOEPpapers on Multidisciplinary Panel Data Research 844, DIW Berlin, The German Socio-Economic Panel (SOEP).
  6. Kerstin Bruckmeier & Jürgen Wiemers, 2012. "A new targeting: a new take-up?," Empirical Economics, Springer, vol. 43(2), pages 565-580, October.
  7. Herber, Stefanie P. & Kalinowski, Michael, 2016. "Non-take-up of student financial aid: A microsimulation for Germany," BERG Working Paper Series 109, Bamberg University, Bamberg Economic Research Group.
  8. Jürgen Wiemers, 2015. "Endogenizing take-up of social assistance in a microsimulation model. A case study for Germany," International Journal of Microsimulation, International Microsimulation Association, vol. 8(2), pages 4-27.

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