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Do Conditional Cash Transfers Improve Education and Labour Market Outcomes in the Future Generation?

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  • Anqi Zhang
  • Katsushi S. Imai

Abstract

This paper estimates the long-term impacts of PROGRESA, the Mexican flagship conditional cash transfer programme, on the educational attainment and the labour market performance of children aged 18 years or younger in 1997. Based on the household panel in 1997-2017, we utilise the initial experimental design where the programmes were allocated randomly at the village level in a phased manner. We estimate the intent to treat (ITT) effect by Propensity Score Matching (PSM) with (i) the correction for attrition bias and (ii) controlling for both unobservable and unobservable household characteristics utilising the panel data in 1997-2007. We also estimate the Unconditional Quantile Regressions (UQR) with the same corrections to examine the heterogeneous treatment effects. PSM results suggest that after 20 years, children of the poor eligible households in the early treated villages outperformed the matched children in the control villages. Early beneficiaries achieved better educational attainments in both durations and levels and were more likely to work and earn a higher salary in the regular and non-regular labour markets. We also find spillover effects on children of non-poor households in the treated villages for education and voluntary/non-salaried work. Disaggregation by age groups and gender shows that early-age nutritional support has a long-term positive effect on education and employment for females, while early educational support benefited males rather than females in terms of tertiary education, employment and wages in the regular market. However, UQR results show that the early exposure to PROGRESA increased overall education inequality, while it decreased inequality in education among women and in labour income for both men and women.

Suggested Citation

  • Anqi Zhang & Katsushi S. Imai, 2021. "Do Conditional Cash Transfers Improve Education and Labour Market Outcomes in the Future Generation?," Economics Discussion Paper Series 2111, Economics, The University of Manchester, revised Jul 2022.
  • Handle: RePEc:man:sespap:2111
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    File URL: http://hummedia.manchester.ac.uk/schools/soss/economics/discussionpapers/EDP-2111.pdf
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    References listed on IDEAS

    as
    1. Angelucci, Manuela & De Giorgi, Giacomo & Rangel, Marcos A. & Rasul, Imran, 2010. "Family networks and school enrolment: Evidence from a randomized social experiment," Journal of Public Economics, Elsevier, vol. 94(3-4), pages 197-221, April.
    2. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    3. Achyuta Adhvaryu & Teresa Molina & Anant Nyshadham & Jorge Tamayo, 2024. "Helping Children Catch Up: Early Life Shocks and the PROGRESA Experiment," The Economic Journal, Royal Economic Society, vol. 134(657), pages 1-22.
    4. Alkire, Sabina & Santos, Maria Emma, 2014. "Measuring Acute Poverty in the Developing World: Robustness and Scope of the Multidimensional Poverty Index," World Development, Elsevier, vol. 59(C), pages 251-274.
    5. Jere R. Behrman & John Hoddinott, 2005. "Programme Evaluation with Unobserved Heterogeneity and Selective Implementation: The Mexican PROGRESA Impact on Child Nutrition," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(4), pages 547-569, August.
    6. repec:idb:brikps:79788 is not listed on IDEAS
    7. 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.
    8. Binder, Melissa & Scrogin, David, 1999. "Labor Force Participation and Household Work of Urban Schoolchildren in Mexico: Characteristics and Consequences," Economic Development and Cultural Change, University of Chicago Press, vol. 48(1), pages 123-154, October.
    9. Orozco Corona, Mónica E. & Gammage, Sarah, 2017. "Cash transfer programmes, poverty reduction and women's economic empowerment experience from Mexico," ILO Working Papers 994964591302676, International Labour Organization.
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    More about this item

    JEL classification:

    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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