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Use Of Survey Design For The Evaluation Of Social Programs: The Pnad And Peti

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  • Donald M. Pianto
  • Sergei Soares

Abstract

The structure of some household surveys allows the evaluation of social programs which are implemented gradually by municipality and whose objectives are measurable by survey variables. Such evaluations do not require over sampling of areas in which the program was implemented, nor the application of additional questionnaires, while providing baseline data and non-experimental comparison groups. We use the PNAD survey to evaluate the impact of the Program for the Eradication of Child Labor on child labor, schooling, and income for municipalities which entered the program from 1997-1999. We present results both from a reflexive comparison and from matching municipalities to form a comparison group and measuring the difference in differences (D in D). Only the reduction of child labor is robust to the D in D analysis, while the reflexive results also demonstrate a significant increase in school attendance. We find the program to be more effective in smaller municipalities as suggested by Rocha (1999).

Suggested Citation

  • Donald M. Pianto & Sergei Soares, 2004. "Use Of Survey Design For The Evaluation Of Social Programs: The Pnad And Peti," Anais do XXXII Encontro Nacional de Economia [Proceedings of the 32th Brazilian Economics Meeting] 133, ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics].
  • Handle: RePEc:anp:en2004:133
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    File URL: http://www.anpec.org.br/encontro2004/artigos/A04A133.pdf
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    References listed on IDEAS

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    1. Jalan, Jyotsna & Ravallion, Martin, 2003. "Estimating the Benefit Incidence of an Antipoverty Program by Propensity-Score Matching," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 19-30, January.
    2. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    3. Dehejia, Rajeev H, 2003. "Was There a Riverside Miracle? A Hierarchical Framework for Evaluating Programs with Grouped Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 1-11, January.
    4. Judy L. Baker, 2000. "Evaluating the Impact of Development Projects on Poverty : A Handbook for Practitioners," World Bank Publications, The World Bank, number 13949.
    5. World Bank, 2001. "Brazil : Eradicating Child Labor in Brazil," World Bank Other Operational Studies 15465, The World Bank.
    6. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
    7. Rawlings, Laura B.*Rubio, Gloria M., 2003. "Evaluating the impact of conditional cash transfer programs : lessons from Latin America," Policy Research Working Paper Series 3119, The World Bank.
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    Cited by:

    1. Suzanne Duryea & Andrew Morrison, 2004. "El efecto de las transferencias condicionadas sobre el desempeño de los planteles educativos y el trabajo infantil: pruebas de una evaluación de impacto ex post en Costa Rica," Research Department Publications 4360, Inter-American Development Bank, Research Department.
    2. Irineu Evangelista de Carvalho Filho, 2012. "Household Income as a Determinant of Child Labor and School Enrollment in Brazil: Evidence from a Social Security Reform," Economic Development and Cultural Change, University of Chicago Press, vol. 60(2), pages 399-435.
    3. repec:ilo:ilowps:468392 is not listed on IDEAS
    4. L. Guarcello & S. Lyon, 2003. "Children's work and water access in Yemen," UCW Working Paper 53, Understanding Children's Work (UCW Programme).
    5. Ucw, 2011. "Understanding the Brazilian success in reducing child labour: empirical evidence and policy lessons. Drawing policy lessons from the Brazilian experience," UCW Working Paper 55, Understanding Children's Work (UCW Programme).
    6. Suzanne Duryea & Andrew Morrison, 2004. "The Effect of Conditional Transfers on School Performance and Child Labor: Evidence from an Ex-Post Impact Evaluation in Costa Rica," Research Department Publications 4359, Inter-American Development Bank, Research Department.

    More about this item

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs

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