An evaluation of the performance of regression discontinuity design on PROGRESA /
Buddelmeyer, Hielke.
An evaluation of the performance of regression discontinuity design on PROGRESA / Hielke Buddelmeyer, and Emmanuel Skoufias. - Washington,D. C : World Bank, 2004. - 48p ; 27 cm. - Policy research working papers ; no. 3386 .
Also available online. "While providing the most reliable method of evaluating social programs, randomized experiments in industrial and developing Countries alike are accompanied by political risks and ethical issues that jeopardize the chances of adopting them. Buddelmeyer and Skoufias use a unique data set from rural Mexico collected for the purpose of evaluating the impact of the PROGRESA poverty alleviation program to examine the performance of a quasi-experimental estimator, the regression discontinuity design (RDD). Using as a benchmark the impact estimates based on the experimental nature of the sample, the authors examine how estimates differ when the RDD is used as the estimator for evaluating program impact on two key indicators-child school attendance and child work. Overall the performance of the RDD was remarkable good. The RDD estimates of program impact agreed with the experimental estima
Includes bibliographical references.
Open access.
Economic assistance, Domestic--Mexico.
Poverty--Mexico.
An evaluation of the performance of regression discontinuity design on PROGRESA / Hielke Buddelmeyer, and Emmanuel Skoufias. - Washington,D. C : World Bank, 2004. - 48p ; 27 cm. - Policy research working papers ; no. 3386 .
Also available online. "While providing the most reliable method of evaluating social programs, randomized experiments in industrial and developing Countries alike are accompanied by political risks and ethical issues that jeopardize the chances of adopting them. Buddelmeyer and Skoufias use a unique data set from rural Mexico collected for the purpose of evaluating the impact of the PROGRESA poverty alleviation program to examine the performance of a quasi-experimental estimator, the regression discontinuity design (RDD). Using as a benchmark the impact estimates based on the experimental nature of the sample, the authors examine how estimates differ when the RDD is used as the estimator for evaluating program impact on two key indicators-child school attendance and child work. Overall the performance of the RDD was remarkable good. The RDD estimates of program impact agreed with the experimental estima
Includes bibliographical references.
Open access.
Economic assistance, Domestic--Mexico.
Poverty--Mexico.