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Do welfare dependent neighbors matter for individual welfare dependency?

Author

Listed:
  • Bauer, Thomas K.
  • Dang, Rui
Abstract
This paper investigates neighborhood peer effects on individual welfare using a combined IV and control function approach. The empirical analysis is based on panel data for the years 2007-2010 constructed by enriching the geo-referenced version of the German Socio-Economic Panel (GSOEP) with aggregated zip code level-information. The results suggest that individual welfare use is positively correlated with neighborhood social benefit recipient rates, i.e. an increase in the share of neighborhood peers on social benefit by 1 percentage point raises the individual probability of welfare use by 0.97 percentage points.

Suggested Citation

  • Bauer, Thomas K. & Dang, Rui, 2016. "Do welfare dependent neighbors matter for individual welfare dependency?," Ruhr Economic Papers 606, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    • Handle: RePEc:zbw:rwirep:606
    DOI: 10.4419/86788703
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    References listed on IDEAS

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    1. Assar Lindbeck & Sten Nyberg & Jörgen W. Weibull, 1999. "Social Norms and Economic Incentives in the Welfare State," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(1), pages 1-35.
    2. Thomas K. Bauer & Michael Fertig & Matthias Vorell, 2011. "Neighborhood Effects and Individual Unemployment," SOEPpapers on Multidisciplinary Panel Data Research 409, DIW Berlin, The German Socio-Economic Panel (SOEP).
    3. Assar Lindbeck & Sten Nyberg & Jörgen W. Weibull, 2003. "Social Norms and Welfare State Dynamics," Journal of the European Economic Association, MIT Press, vol. 1(2-3), pages 533-542, 04/05.
    4. Peter Hintze & Tobia Lakes, 2009. "Geographically Referenced Data for Social Science," RatSWD Working Papers 125, German Data Forum (RatSWD).
    5. John P. Haisken-DeNew & Markus H. Hahn, 2010. "PanelWhiz: Efficient Data Extraction of Complex Panel Data Sets - An Example Using the German SOEP," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 130(4), pages 643-654.
    6. Patrick Bayer & Stephen L. Ross & Giorgio Topa, 2008. "Place of Work and Place of Residence: Informal Hiring Networks and Labor Market Outcomes," Journal of Political Economy, University of Chicago Press, vol. 116(6), pages 1150-1196, December.
    7. Patrick Bayer & Stephen L. Ross, 2006. "Identifying Individual and Group Effects in the Presence of Sorting: A Neighborhood Effects Application," Working papers 2006-13, University of Connecticut, Department of Economics, revised Jan 2009.
    8. van der Klaauw, Bas & van Ours, Jan C., 2003. "From welfare to work: does the neighborhood matter?," Journal of Public Economics, Elsevier, vol. 87(5-6), pages 957-985, May.
    9. Jeffrey R Kling & Jeffrey B Liebman & Lawrence F Katz, 2007. "Experimental Analysis of Neighborhood Effects," Econometrica, Econometric Society, vol. 75(1), pages 83-119, January.
    10. Giorgio Topa, 2001. "Social Interactions, Local Spillovers and Unemployment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 68(2), pages 261-295.
    11. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    12. Peter Hintze & Tobia Lakes, 2009. "Geographically Referenced Data in Social Science: A Service Paper for SOEP Data Users," Data Documentation 46, DIW Berlin, German Institute for Economic Research.
    13. Gert G. Wagner & Joachim R. Frick & Jürgen Schupp, 2007. "The German Socio-Economic Panel Study (SOEP) – Scope, Evolution and Enhancements," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(1), pages 139-169.
    14. Bruce A. Weinberg & Patricia B. Reagan & Jeffrey J. Yankow, 2004. "Do Neighborhoods Affect Hours Worked? Evidence from Longitudinal Data," Journal of Labor Economics, University of Chicago Press, vol. 22(4), pages 891-924, October.
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    Cited by:

    1. Grossman, Daniel & Khalil, Umair, 2020. "Neighborhood networks and program participation," Journal of Health Economics, Elsevier, vol. 70(C).

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    More about this item

    Keywords

    Neighborhood effects; welfare use; non-random sorting;
    All these keywords.

    JEL classification:

    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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