How Good Are Ex Ante Program Evaluation Techniques? The Case of School Enrollment in PROGRESA
This paper evaluates a microsimulation technique by comparing the simulated outcome of a program with its actual effect. The ex ante evaluation is carried out for a conditional cash transfer program, where poor households were given money if the children attended school. A model of occupational choice is used to simulate the expected impact of the program. The results suggest that the transfer would indeed increase school attendance and do more so among girls than boys. While the simulated effect tends to be larger than the actual effect, the latter lies within bootstrapped confidence intervals of the simulation.
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- Fran??ois Bourguignon & Francisco H. G. Ferreira & Phillippe G. Leite, 2002.
"Ex-ante Evaluation of Conditional Cash Transfer Programs: The Case of Bolsa Escola,"
William Davidson Institute Working Papers Series
516, William Davidson Institute at the University of Michigan.
- Bourguignon, Francois & Ferreira, Francisco H. G. & Leite, Phillippe G., 2002. "Ex-ante evaluation of conditional cash transfer programs: the case of bolsa escola," Policy Research Working Paper Series 2916, The World Bank.
- LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, vol. 76(4), pages 604-620, September.
- Lee, Lung-Fei, 1983. "Generalized Econometric Models with Selectivity," Econometrica, Econometric Society, vol. 51(2), pages 507-512, March.
- Heckman, James, 2013.
"Sample selection bias as a specification error,"
Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
- Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-161, January.
- Behrman, Jere R & Sengupta, Piyali & Todd, Petra, 2005. "Progressing through PROGRESA: An Impact Assessment of a School Subsidy Experiment in Rural Mexico," Economic Development and Cultural Change, University of Chicago Press, vol. 54(1), pages 237-275, October.
- François Bourguignon & Martin Fournier & Marc Gurgand, 2002. "Selection Bias Correction Based on the Multinomial Logit Model," Working Papers 2002-04, Center for Research in Economics and Statistics. Full references (including those not matched with items on IDEAS)
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