Empirical research has shown that social interactions affect the use of public benefits, thus providing evidence in favor of the idea of “welfare cultures.” In this paper we take the next crucial step by separately identifying the role of social stigma and information sharing in welfare participation, using Census data. We argue that the stigma vs. information distinction has possibly important consequences. Separate identification exploits the asymmetry between association and mere spatial proximity: we asume that while information is transmitted within groups, stigma works across groups as well. We also allow for heterogeneity of social effects across different race-ethnic groups and find non-trivial differences. We find that while the information channel is more important than stigma, White Americans appear to perceive stigma more from otherWhite Americans than by other races, and Black and Hispanic Americans appear to respond principally to stigma from external groups
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Find related papers by JEL classification: I30 - Health, Education, and Welfare - - Welfare and Poverty - - - General Z13 - Other Special Topics - - Cultural Economics - - - Social Norms and Social Capital; Social Networks Economic Anthropology
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Marianne Bertrand & Erzo F. P. Luttmer & Sendhil Mullainathan, 1999.
"Network Effects and Welfare Cultures,"
Working Papers
9903, Harris School of Public Policy Studies, University of Chicago.
[Downloadable!]
Bertrand, M. & Luttmer, E.F.P. & Mullainathan, S., 1998.
"Network Effects and Welfare Cultures,"
Papers
201, Princeton, Woodrow Wilson School - Public and International Affairs.
Brock, William A. & Durlauf, Steven N., 2001.
"Interactions-based models,"
Handbook of Econometrics,
in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 54, pages 3297-3380
Elsevier.
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