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The impact of Bolsa Família on schooling: Girls’ advantage increases and older children gain:

Author

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  • de Brauw, Alan
  • Gilligan, Daniel O.
  • Hoddinott, John F.
  • Roy, Shalini

Abstract

We estimate the impact of Bolsa Família on a range of education outcomes, including school participation, grade progression, grade repetition, and dropout rates. Using a large-sample household panel survey from 2005–2009 collected for this evaluation, we develop a statistically balanced comparison group of eligible nonparticipant households and estimate impacts using propensity-score-weighted regression. We estimate that Bolsa Família increased average school participation among all children age 6 to 17 years by (a weakly significant) 4.5 percent. It had no effect on grade promotion, on average. However, within the subsample of girls, Bolsa Família caused substantial improvements in schooling outcomes, including significant increases in school participation (8.2 percent) and rates of grade progression (10.4 percent). We show that the gains in girls’ schooling do not derive from catch-up effects, but rather increase girls’ existing advantage in schooling attainment. In general, impacts are larger among older children, in rural areas, and in the Northeast.

Suggested Citation

  • de Brauw, Alan & Gilligan, Daniel O. & Hoddinott, John F. & Roy, Shalini, 2014. "The impact of Bolsa Família on schooling: Girls’ advantage increases and older children gain:," IFPRI discussion papers 1319, International Food Policy Research Institute (IFPRI).
  • Handle: RePEc:fpr:ifprid:1319
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    File URL: http://www.ifpri.org/sites/default/files/publications/ifpridp01319.pdf
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    References listed on IDEAS

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    1. John Fitzgerald & Peter Gottschalk & Robert Moffitt, 1998. "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of Income Dynamics," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 251-299.
    2. Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2003. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometrica, Econometric Society, vol. 71(4), pages 1161-1189, July.
    3. 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.
    4. Behrman, Jere R & Sengupta, Piyali & Todd, Petra, 2005. "Progressing through PROGRESA: An Impact Assessment of a School Subsidy Experiment in Rural Mexico," Economic Development and Cultural Change, University of Chicago Press, vol. 54(1), pages 237-275, October.
    5. John Fitzgerald & Peter Gottschalk & Robert Moffitt, 1998. "An Analysis of the Impact of Sample Attrition on the Second Generation of Respondents in the Michigan Panel Study of Income Dynamics," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 300-344.
    6. David A. Freedman & Richard A. Berk, 2008. "Weighting Regressions by Propensity Scores," Evaluation Review, , vol. 32(4), pages 392-409, August.
    7. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
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    Cited by:

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    More about this item

    Keywords

    Education; Gender; Poverty; conditional cash transfers (CCT) programs; Bolsa Família;
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