IDEAS home Printed from https://ideas.repec.org/p/ifs/ifsewp/10-14.html
   My bibliography  Save this paper

Education choices in Mexico: using a structural model and a randomized experiment to evaluate Progresa

Author

Listed:
  • Orazio Attanasio

    (Institute for Fiscal Studies and Yale University)

  • Costas Meghir

    (Institute for Fiscal Studies and Yale University)

  • Ana Santiago

    (Institute for Fiscal Studies and Inter-American Development Bank)

Abstract

In this paper we use an economic model to analyse data from a major social experiment, namely PROGRESA in Mexico, and to evaluate its impact on school participation. In the process we also show the usefulness of using experimental data to estimate a structural economic model. The evaluation sample includes data from villages where the program was implemented and where it was not. The allocation was randomised for evaluation purposes. We estimate a structural model of education choices and argue that without such a framework it is impossible to evaluate the effect of the program and, especially, possible changes to its structure. We also argue that the randomized component of the data allows us to identify a more flexible model that is better suited to evaluate the program. We find that the program has a positive effect on the enrollment of children, especially after primary school; this result is well replicated by the parsimonious structural model. We also find that a revenue neutral change in the program that would increase the grant for secondary school children while eliminating for the primary school children would have a substantially larger effect on enrollment of the latter, while having minor effects on the former.

Suggested Citation

  • Orazio Attanasio & Costas Meghir & Ana Santiago, 2010. "Education choices in Mexico: using a structural model and a randomized experiment to evaluate Progresa," IFS Working Papers W10/14, Institute for Fiscal Studies.
  • Handle: RePEc:ifs:ifsewp:10/14
    as

    Download full text from publisher

    File URL: http://www.ifs.org.uk/wps/wp1014.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Stephen V. Cameron & James J. Heckman, 1998. "Life Cycle Schooling and Dynamic Selection Bias: Models and Evidence for Five Cohorts of American Males," Journal of Political Economy, University of Chicago Press, vol. 106(2), pages 262-333, April.
    2. Flavio Cunha & James J. Heckman & Salvador Navarro, 2007. "The Identification And Economic Content Of Ordered Choice Models With Stochastic Thresholds," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 48(4), pages 1273-1309, November.
    3. Robert A. Moffitt, 1979. "The Labor Supply Response in the Gary Experiment," Journal of Human Resources, University of Wisconsin Press, vol. 14(4), pages 477-487.
    4. Browning, Martin & Meghir, Costas, 1991. "The Effects of Male and Female Labor Supply on Commodity Demands," Econometrica, Econometric Society, vol. 59(4), pages 925-951, July.
    5. Costas Meghir & Luigi Pistaferri, 2004. "Income Variance Dynamics and Heterogeneity," Econometrica, Econometric Society, vol. 72(1), pages 1-32, January.
    6. Burtless, Gary & Hausman, Jerry A, 1978. "The Effect of Taxation on Labor Supply: Evaluating the Gary Negative Income Tax Experiments," Journal of Political Economy, University of Chicago Press, vol. 86(6), pages 1103-1130, December.
    7. Richard Blundell & Pierre-André Chiappori & Costas Meghir, 2005. "Collective Labor Supply with Children," Journal of Political Economy, University of Chicago Press, vol. 113(6), pages 1277-1306, December.
    8. Stephen V. Cameron & James J. Heckman, 1998. "Life Cycle Schooling and Dynamic Selection Bias: Models and Evidence for Five Cohorts," NBER Working Papers 6385, National Bureau of Economic Research, Inc.
    9. Flavio Cunha & James J. Heckman & Salvador Navarro, 2007. "The Identification & Economic Content of Ordered Choice Models with Stochastic Thresholds," Working Papers 200726, Geary Institute, University College Dublin.
    Full references (including those not matched with items on IDEAS)

    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. Heckman, James J. & Urzúa, Sergio, 2010. "Comparing IV with structural models: What simple IV can and cannot identify," Journal of Econometrics, Elsevier, vol. 156(1), pages 27-37, May.
    2. Han, Sukjin, 2021. "Identification in nonparametric models for dynamic treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 132-147.
    3. Heckman, James J. & Humphries, John Eric & Veramendi, Gregory, 2016. "Dynamic treatment effects," Journal of Econometrics, Elsevier, vol. 191(2), pages 276-292.
    4. Tatiana Komarova & William Matcham, 2022. "Multivariate ordered discrete response models," Papers 2205.05779, arXiv.org, revised Mar 2023.
    5. Binelli, Chiara & Menezes-Filho, Naercio, 2019. "Why Brazil fell behind in college education?," Economics of Education Review, Elsevier, vol. 72(C), pages 80-106.
    6. Dionissi Aliprantis, 2017. "Human capital in the inner city," Empirical Economics, Springer, vol. 53(3), pages 1125-1169, November.
    7. Jaap H. Abbring, 2010. "Identification of Dynamic Discrete Choice Models," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 367-394, September.
    8. William H. Greene & David A. Hensher, 2008. "Modeling Ordered Choices: A Primer and Recent Developments," Working Papers 08-26, New York University, Leonard N. Stern School of Business, Department of Economics.
    9. Jaap Abbring & James Heckman, 2008. "Dynamic policy analysis," CeMMAP working papers CWP05/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. William Greene, 2014. "Models for ordered choices," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 15, pages 333-362, Edward Elgar Publishing.
    11. Jean-Marc Robin & Costas Meghir & Christian Dustmann & Jerome Adda, 2013. "Career Progression, Economic Downturns, and Skills," 2013 Meeting Papers 993, Society for Economic Dynamics.
    12. Brant Abbott & Giovanni Gallipoli & Costas Meghir & Giovanni L. Violante, 2019. "Education Policy and Intergenerational Transfers in Equilibrium," Journal of Political Economy, University of Chicago Press, vol. 127(6), pages 2569-2624.
    13. Jean-Marc Robin & Costas Meghir & Christian Dustmann & Jerome Adda, 2013. "Career Progression, Economic Downturns, and Skills," 2013 Meeting Papers 993, Society for Economic Dynamics.
    14. Gianluca Violante & Giovanni Gallipoli & Costas Meghir, 2005. "Education Decisions, Equilibrium Policies and Wages Dispersion," 2005 Meeting Papers 522, Society for Economic Dynamics.
    15. Heckman, James J. & Navarro, Salvador, 2007. "Dynamic discrete choice and dynamic treatment effects," Journal of Econometrics, Elsevier, vol. 136(2), pages 341-396, February.
    16. Semih Tumen, 2015. "Skill Acquisition in the Informal Economy and Schooling Decisions: Evidence from Emerging Economies," LABOUR, CEIS, vol. 29(3), pages 270-290, September.
    17. Heejeong Kim, 2022. "Education, Wage Dynamics, and Wealth Inequality," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 43, pages 217-240, January.
    18. Attanasio, Orazio P. & Kaufmann, Katja M., 2014. "Education choices and returns to schooling: Mothers' and youths' subjective expectations and their role by gender," Journal of Development Economics, Elsevier, vol. 109(C), pages 203-216.
    19. Brant Abbott & Giovanni Gallipoli & Costas Meghir & Giovanni L. Violante, 2013. "Education Policy�and Intergenerational Transfers in Equilibrium," Cowles Foundation Discussion Papers 1887R2, Cowles Foundation for Research in Economics, Yale University, revised May 2018.
    20. Timothy A. Weterings & Mark N. Harris & Bruce Hollingsworth, 2012. "Extending Unobserved Heterogeneity - A Strategy for Accounting for Respondent Perceptions in the Absence of Suitable Data," Monash Econometrics and Business Statistics Working Papers 12/12, Monash University, Department of Econometrics and Business Statistics.

    More about this item

    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:ifs:ifsewp:10/14. 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: Emma Hyman (email available below). General contact details of provider: https://edirc.repec.org/data/ifsssuk.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.