Use Of Survey Design For The Evaluation Of Social Programs: The Pnad And Peti
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).
|Date of creation:||2004|
|Date of revision:|
|Contact details of provider:|| Postal: Secretaria da ANPEC Rua Prof Marcos Valdemar de Freitas Reis s/n Campus do Gragoatá Bloco F Niterói, RJ 24210-201 Brazil|
Phone: 55 21 3674 7952
Web page: http://www.anpec.org.br
More information through EDIRC
|Order Information:|| Postal: Secretaria da ANPEC Rua Prof Marcos Valdemar de Freitas Reis s/n Campus do Gragoatá Bloco F Niterói, RJ 24210-201 Brazil|
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.:
- 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.
- James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998.
"Characterizing Selection Bias Using Experimental Data,"
NBER Working Papers
6699, National Bureau of Economic Research, Inc.
- 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.
- Rajeev H. Dehejia & Sadek Wahba, 1998.
"Propensity Score Matching Methods for Non-experimental Causal Studies,"
NBER Working Papers
6829, National Bureau of Economic Research, Inc.
- 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.
- World Bank, 2001. "Brazil : Eradicating Child Labor in Brazil," World Bank Other Operational Studies 15465, The World Bank.
- 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.
- Jyotsna Jalan & Martin Ravallion, 2000. "Estimating the Benefit Incidence of an Antipoverty Program by Propensity Score Matching," Econometric Society World Congress 2000 Contributed Papers 0873, Econometric Society.
- Judy L. Baker, 2000. "Evaluating the Impact of Development Projects on Poverty : A Handbook for Practitioners," World Bank Publications, The World Bank, number 13949, July.
- 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.
When requesting a correction, please mention this item's handle: RePEc:anp:en2004:133. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Rodrigo Zadra Armond)
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.