IDEAS home Printed from
MyIDEAS: Login to save this paper or follow this series

How Much Are We Willing To Pay to Send Poor Adolescents to School? Simulating Changes to Mexico`s Oportunidades in Urban Areas

  • Viviane Azevedo
  • Cesar Bouillon
  • Patricia Yanez-Pagans


Although Mexico’s Conditional Cash Transfer Program Oportunidades has increased overall school enrollment, many adolescents do not attend school, especially in urban areas. This paper simulates the effects of changes in program design using a simple parametric method based on a simultaneous probability model of school attendance and child labor. The paper also provides alternative non parametric simulation results by extending Todd and Wolpin’s (2006) method to incorporate changes in working hours when attending school. The results indicate that eliminating or reducing school subsidies for primary education and increasing transfer for older students is a cost-effective way to raise overall school enrollment in urban areas. Increasing school attendance of 16-year-olds to 80 percent or more, however, would require a quadrupling of scholarships. This suggests that complementary interventions are needed.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Download Restriction: no

Paper provided by Inter-American Development Bank, Research Department in its series Research Department Publications with number 4631.

in new window

Date of creation: Jun 2009
Date of revision:
Handle: RePEc:idb:wpaper:4631
Contact details of provider: Postal: 1300 New York Avenue, NW, Washington, DC 20577
Phone: 202-623-1000
Web page:

More information through EDIRC

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.:

as in new window
  1. Gary S. Becker & Nigel Tomes, . "Human Capital and the Rise and Fall of Families," University of Chicago - Population Research Center 84-10, Chicago - Population Research Center.
  2. Deon Filmer & Lant Pritchett, 1999. "The Effect of Household Wealth on Educational Attainment: Evidence from 35 Countries," Population and Development Review, The Population Council, Inc., vol. 25(1), pages 85-120.
  3. Basu, Kaushik & Van, Pham Hoang, 1998. "The Economics of Child Labor," American Economic Review, American Economic Association, vol. 88(3), pages 412-27, June.
  4. Buddelmeyer, Hielke & Skoufias, Emmanuel, 2004. "An evaluation of the performance of regression discontinuity design on PROGRESA," Policy Research Working Paper Series 3386, The World Bank.
  5. Kruger, Diana I., 2007. "Coffee production effects on child labor and schooling in rural Brazil," Journal of Development Economics, Elsevier, vol. 82(2), pages 448-463, March.
  6. Kenneth I. Wolpin & Petra E. Todd, 2006. "Assessing the Impact of a School Subsidy Program in Mexico: Using a Social Experiment to Validate a Dynamic Behavioral Model of Child Schooling and Fertility," American Economic Review, American Economic Association, vol. 96(5), pages 1384-1417, December.
  7. Duryea, Suzanne & Arends-Kuenning, Mary, 2003. "School Attendance, Child Labor and Local Labor Market Fluctuations in Urban Brazil," World Development, Elsevier, vol. 31(7), pages 1165-1178, July.
  8. Eric V. Edmonds, 2007. "Child Labor," NBER Working Papers 12926, National Bureau of Economic Research, Inc.
  9. FranÁois Bourguignon & Francisco H. G. Ferreira & Phillippe G. Leite, 2003. "Conditional Cash Transfers, Schooling, and Child Labor: Micro-Simulating Brazil's Bolsa Escola Program," World Bank Economic Review, World Bank Group, vol. 17(2), pages 229-254, December.
  10. Edmonds, Eric V., 2006. "Child labor and schooling responses to anticipated income in South Africa," Journal of Development Economics, Elsevier, vol. 81(2), pages 386-414, December.
  11. Ravallion, Martin & Wodon, Quentin, 1999. "Does child labor displace schooling? - evidence on behavioral responses to an enrollment subsidy," Policy Research Working Paper Series 2116, The World Bank.
  12. Bedi, Arjun S & Marshall, Jeffrey H, 1999. "School Attendance and Student Achievement: Evidence from Rural Honduras," Economic Development and Cultural Change, University of Chicago Press, vol. 47(3), pages 657-82, April.
  13. de Janvry, Alain & Finan, Frederico & Sadoulet, Elisabeth & Vakis, Renos, 2006. "Can conditional cash transfer programs serve as safety nets in keeping children at school and from working when exposed to shocks?," Journal of Development Economics, Elsevier, vol. 79(2), pages 349-373, April.
  14. Beegle, Kathleen & Dehejia, Rajeev H. & Gatti, Roberta, 2006. "Child labor and agricultural shocks," Journal of Development Economics, Elsevier, vol. 81(1), pages 80-96, October.
  15. Card, David, 1999. "The causal effect of education on earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 30, pages 1801-1863 Elsevier.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:idb:wpaper:4631. 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: (Monica Bazan)

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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.