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

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Author Info
Donald M. Pianto
Sergei Soares

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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).

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Paper provided by ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics] in its series Anais do XXXII Encontro Nacional de Economia [Proceedings of the 32th Brazilian Economics Meeting] with number 133.

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Date of creation: 2004
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Handle: RePEc:anp:en2004:133

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Find related papers by JEL classification:
I32 - Health, Education, and Welfare - - Welfare and Poverty - - - Measurement and Analysis of Poverty
I38 - Health, Education, and Welfare - - Welfare and Poverty - - - Government Programs; Provision and Effects of Welfare Programs

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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.:
  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.
    Other versions:
  2. 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.
    Other versions:
  3. 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. [Downloadable!] (restricted)
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  4. Eliana Cardoso & Andre Portela Souza, 2004. "The Impact of Cash Transfers on Child Labor and School Attendance in Brazil," Working Papers 0407, Department of Economics, Vanderbilt University. [Downloadable!]
  5. 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.
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  6. 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. [Downloadable!]
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Cited by:
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  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," RES Working Papers 4360, Inter-American Development Bank, Research Department. [Downloadable!]
  2. Eliana Cardoso & Andre Portela Souza, 2004. "The Impact of Cash Transfers on Child Labor and School Attendance in Brazil," Working Papers 0407, Department of Economics, Vanderbilt University. [Downloadable!]
  3. 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," RES Working Papers 4359, Inter-American Development Bank, Research Department. [Downloadable!]
  4. Irineu E. Carvalho Filho, 2008. "Household Income As A Determinant of Child Labor and School Enrollment in Brazil: Evidence From A Social Security Reform," IMF Working Papers 08/241, International Monetary Fund. [Downloadable!]
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