IDEAS home Printed from https://ideas.repec.org/p/anp/en2004/133.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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 32nd Brazilian Economics Meeting] 133, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    • Handle: RePEc:anp:en2004:133
    as

    Download full text from publisher

    File URL: http://www.anpec.org.br/encontro2004/artigos/A04A133.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. World Bank, 2001. "Brazil : Eradicating Child Labor in Brazil," World Bank Publications - Reports 15465, The World Bank Group.
    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. 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.
    4. 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.
    5. Judy L. Baker, 2000. "Evaluating the Impact of Development Projects on Poverty : A Handbook for Practitioners," World Bank Publications - Books, The World Bank Group, number 13949.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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).
    3. L. Guarcello & S. Lyon, 2003. "Children's work and water access in Yemen," UCW Working Paper 53, Understanding Children's Work (UCW Programme).
    4. 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.
    5. Rosati, Furio C. & Dema, Guillermo., 2010. "Trends in children's employment and child labour in the Latin America and Caribbean region regional overview," ILO Working Papers 994683923402676, International Labour Organization.
    6. repec:ilo:ilowps:468392 is not listed on IDEAS
    7. Marco Manacorda & Furio Camillo Rosati, 2011. "Industrial Structure and Child Labor Evidence from the Brazilian Population Census," Economic Development and Cultural Change, University of Chicago Press, vol. 59(4), pages 753-776.
    8. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rajeev Dehejia, 2013. "The Porous Dialectic: Experimental and Non-Experimental Methods in Development Economics," WIDER Working Paper Series wp-2013-011, World Institute for Development Economic Research (UNU-WIDER).
    2. van de Walle, Dominique & Cratty, Dorothyjean, 2005. "Do donors get what they paid for? micro evidence on the fungibility of development project aid," Policy Research Working Paper Series 3542, The World Bank.
    3. Dehejia Rajeev, 2015. "Experimental and Non-Experimental Methods in Development Economics: A Porous Dialectic," Journal of Globalization and Development, De Gruyter, vol. 6(1), pages 47-69, June.
    4. Gao, Qin & Zhai, Fuhua & Garfinkel, Irwin, 2010. "How Does Public Assistance Affect Family Expenditures? The Case of Urban China," World Development, Elsevier, vol. 38(7), pages 989-1000, July.
    5. del Ninno, Carlo & Dorosh, Paul A., 2002. "In-kind transfers and household food consumption," FCND briefs 134, International Food Policy Research Institute (IFPRI).
    6. Githiomi, Caroline & Muriithi, Beatrice & Irungu, Patrick & Mwungu, Chris M. & Diiro, Gracious & Affognon, Hippolyte & Mburu, John & Ekesi, Sunday, 2019. "Economic analysis of spillover effects of an integrated pest management (IPM) strategy for suppression of mango fruit fly in Kenya," Food Policy, Elsevier, vol. 84(C), pages 121-132.
    7. Dehejia, Rajeev, 2013. "The Porous Dialectic: Experimental and Non-Experimental Methods in Development Economics," WIDER Working Paper Series 011, World Institute for Development Economic Research (UNU-WIDER).
    8. Mamo, Tadele & Getahun, Wudineh & Chebil, Ali & Debele, Tolessa & Assefa, Solomon, 2019. "Impact of Technology Adoption through Dissemination Innovation Platforms (IP) on Yield, Food Security and Poverty: Evidence from Major Wheat Producing Regions of Ethiopia," Ethiopian Journal of Economics, Ethiopian Economics Association, vol. 28(02), October.
    9. Mamo, Tadele & Getahun, Wudineh & Chebil, Ali & Debele, Tolessa & Assefa, Solomon, 2019. "Impact of Technology Adoption through Dissemination Innovation Platforms (IP) on Yield, Food Security and Poverty: Evidence from Major Wheat Producing Regions of Ethiopia," Ethiopian Journal of Economics, Ethiopian Economics Association, vol. 28(01), April.
    10. Dillon, Andrew, 2011. "The Effect of Irrigation on Poverty Reduction, Asset Accumulation, and Informal Insurance: Evidence from Northern Mali," World Development, Elsevier, vol. 39(12), pages 2165-2175.
    11. Amorn Pochanasomboon & Witsanu Attavanich & Akaranant Kidsom, 2020. "Impacts of Land Ownership on the Economic Performance and Viability of Rice Farming in Thailand," Land, MDPI, vol. 9(3), pages 1-18, March.
    12. Jonathan Daniel Gómez-Zapata & Luis César Herrero-Prieto & Beatriz Rodríguez-Prado, 2021. "Does music soothe the soul? Evaluating the impact of a music education programme in Medellin, Colombia," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(1), pages 63-104, March.
    13. Carlos A. Flores & Oscar A. Mitnik, 2013. "Comparing Treatments across Labor Markets: An Assessment of Nonexperimental Multiple-Treatment Strategies," The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1691-1707, December.
    14. Andrew Dillon, 2011. "Do Differences in the Scale of Irrigation Projects Generate Different Impacts on Poverty and Production?," Journal of Agricultural Economics, Wiley Blackwell, vol. 62(2), pages 474-492, June.
    15. Essama-Nssah, B., 2006. "Propensity score matching and policy impact analysis - a demonstration in EViews," Policy Research Working Paper Series 3877, The World Bank.
    16. Eliana Cardoso & Andre Portela Souza, 2004. "The Impact of Cash Transfers on Child Labor and School Attendance in Brazil," Vanderbilt University Department of Economics Working Papers 0407, Vanderbilt University Department of Economics.
    17. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    18. Amarendra Sharma, 2019. "Indira Awas Yojana and Housing Adequacy: An Evaluation using Propensity Score Matching," ASARC Working Papers 2019-05, The Australian National University, Australia South Asia Research Centre.
    19. Sant’Anna, Pedro H.C. & Zhao, Jun, 2020. "Doubly robust difference-in-differences estimators," Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
    20. Kube, Roland & von Graevenitz, Kathrine & Löschel, Andreas & Massier, Philipp, 2019. "Do voluntary environmental programs reduce emissions? EMAS in the German manufacturing sector," Energy Economics, Elsevier, vol. 84(S1).

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:anp:en2004:133. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Rodrigo Zadra Armond (email available below). General contact details of provider: https://edirc.repec.org/data/anpecea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.