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Brazil’s Bolsa Familia: Neighborhood and Racial Group Networks

Author

Listed:
  • Marcelo Arbex

    (Department of Economics, University of Windsor)

  • Jessica Faciroli

    (Department of Economics, Federal University of Juiz de Fora, Brazil)

  • Ricardo da Silva Freguglia

    (Department of Economics, Federal University of Juiz de Fora, Brazil)

  • Marcel de Toledo Vieira

    (Department of Statistics, Federal University of Juiz de Fora, Brazil)

Abstract

Are families that live in the same neighborhood and share similar characteristics more likely to participate in welfare programs? Using a unique administrative data set, we study beneficiaries of the Bolsa Familia - the Brazilian cash transfer program - from 2013 to 2015. We analyze data containing information on the living conditions of the most vulnerable families, such as income, household characteristics, schooling, and disability. An eight-digit zip code defines a neighborhood. Families form a network if they live in the same neighborhood and belong to the same racial group. We provide evidence that place of residence and racial group networks are important determinants of the family participation in the program. Individuals in a neighborhood-racial group network are 6.5% more likely to participate in the Bolsa Familia. We conduct several robustness checks - controlling for family unobserved characteristics, network density and coverage (percentiles) distributions - to further qualify our results.

Suggested Citation

  • Marcelo Arbex & Jessica Faciroli & Ricardo da Silva Freguglia & Marcel de Toledo Vieira, 2022. "Brazil’s Bolsa Familia: Neighborhood and Racial Group Networks," Working Papers 2201, University of Windsor, Department of Economics.
    • Handle: RePEc:wis:wpaper:2201
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    References listed on IDEAS

    as
    1. Gordon B. Dahl & Katrine V. L?ken & Magne Mogstad, 2014. "Peer Effects in Program Participation," American Economic Review, American Economic Association, vol. 104(7), pages 2049-2074, July.
    2. Kibrom A. Abay & Goytom A. Kahsay & Guush Berhane, 2018. "Social Networks and Factor Markets: Panel Data Evidence from Ethiopia," Journal of Development Studies, Taylor & Francis Journals, vol. 54(1), pages 174-190, January.
    3. Deri, Catherine, 2005. "Social networks and health service utilization," Journal of Health Economics, Elsevier, vol. 24(6), pages 1076-1107, November.
    4. Esther Duflo & Emmanuel Saez, 2003. "The Role of Information and Social Interactions in Retirement Plan Decisions: Evidence from a Randomized Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 815-842.
    5. Chung Thanh Phan & Sizhong Sun & Zhang-Yue Zhou & Rabiul Beg, 2020. "Does Microcredit Improve Rural Households’ Social Network? Evidence from Vietnam," Journal of Development Studies, Taylor & Francis Journals, vol. 56(10), pages 1947-1963, October.
    6. Parker, Susan W. & Rubalcava, Luis & Teruel, Graciela, 2008. "Evaluating Conditional Schooling and Health Programs," Handbook of Development Economics, in: T. Paul Schultz & John A. Strauss (ed.), Handbook of Development Economics, edition 1, volume 4, chapter 62, pages 3963-4035, Elsevier.
    7. Fernanda Brollo & Katja Maria Kaufmann & Eliana La Ferrara, 2020. "Learning Spillovers in Conditional Welfare Programmes: Evidence from Brazil," The Economic Journal, Royal Economic Society, vol. 130(628), pages 853-879.
    8. Vivi Alatas & Abhijit Banerjee & Arun G. Chandrasekhar & Rema Hanna & Benjamin A. Olken, 2016. "Network Structure and the Aggregation of Information: Theory and Evidence from Indonesia," American Economic Review, American Economic Association, vol. 106(7), pages 1663-1704, July.
    9. Matteo Bobba & Jérémie Gignoux, 2019. "Neighborhood Effects in Integrated Social Policies," Post-Print halshs-01509730, HAL.
    10. Matteo Bobba & Jérémie Gignoux, 2019. "Neighborhood Effects in Integrated Social Policies," The World Bank Economic Review, World Bank, vol. 33(1), pages 116-139.
    11. Paul Schultz, T., 2004. "School subsidies for the poor: evaluating the Mexican Progresa poverty program," Journal of Development Economics, Elsevier, vol. 74(1), pages 199-250, June.
    12. Matteo Bobba & Jérémie Gignoux, 2019. "Neighborhood Effects in Integrated Social Policies," PSE-Ecole d'économie de Paris (Postprint) halshs-01509730, HAL.
    13. Aizer, Anna & Currie, Janet, 2004. "Networks or neighborhoods? Correlations in the use of publicly-funded maternity care in California," Journal of Public Economics, Elsevier, vol. 88(12), pages 2573-2585, December.
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    More about this item

    Keywords

    Social Program Participation; Social Network; Neighborhood; Race Composition; Bolsa Familia Program; Brazil.;
    All these keywords.

    JEL classification:

    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • H53 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Welfare Programs

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