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Iron Deficiency and Schooling Attainment in Peru

Author

Listed:
  • Alberto Chong
  • Isabelle Cohen
  • Erica Field
  • Eduardo Nakasone
  • Maximo Torero

Abstract

Do nutritional deficiencies contribute to the intergenerational persistence of poverty by reducing the earnings potential of future generations? To address this question, we made available supplemental iron pills at a health center in rural Peru and encouraged adolescents to take them via media messages. School administrative data provide novel evidence that reducing iron deficiency results in a large and significant improvement in school performance and aspirations for anemic students. Our findings demonstrate that combining low-cost outreach efforts and local supplementation programs can be an affordable and effective method of reducing rates of adolescent iron deficiency anemia.

Suggested Citation

  • Alberto Chong & Isabelle Cohen & Erica Field & Eduardo Nakasone & Maximo Torero, 2016. "Iron Deficiency and Schooling Attainment in Peru," American Economic Journal: Applied Economics, American Economic Association, vol. 8(4), pages 222-255, October.
  • Handle: RePEc:aea:aejapp:v:8:y:2016:i:4:p:222-55
    Note: DOI: 10.1257/app.20140494
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    References listed on IDEAS

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    1. Jeffrey B. Liebman & Erzo F. P. Luttmer, 2015. "Would People Behave Differently If They Better Understood Social Security? Evidence from a Field Experiment," American Economic Journal: Economic Policy, American Economic Association, vol. 7(1), pages 275-299, February.
    2. Jeffrey R Kling & Jeffrey B Liebman & Lawrence F Katz, 2007. "Experimental Analysis of Neighborhood Effects," Econometrica, Econometric Society, vol. 75(1), pages 83-119, January.
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    Cited by:

    1. von Grafenstein, Liza & Kumar, Abhijeet & Kumar, Santosh & Vollmer, Sebastian, 2021. "Impacts of Double-Fortified Salt on Anemia and Cognition: Four-Year Follow-up Evidence from a School-Based Nutrition Intervention in India," IZA Discussion Papers 14627, Institute of Labor Economics (IZA).
    2. Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2018. "Inference Under Covariate-Adaptive Randomization," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(524), pages 1784-1796, October.
    3. Jiang, Liang & Phillips, Peter C.B. & Tao, Yubo & Zhang, Yichong, 2023. "Regression-adjusted estimation of quantile treatment effects under covariate-adaptive randomizations," Journal of Econometrics, Elsevier, vol. 234(2), pages 758-776.
    4. Chege, Christine G.K. & Sibiko, Kenneth W. & Wanyama, Rosina & Jager, Matthias & Birachi, Eliud, 2019. "Are consumers at the base of the pyramid willing to pay for nutritious foods?," Food Policy, Elsevier, vol. 87(C), pages 1-1.
    5. Bellés Obrero, Cristina & Lombardi, María, 2019. "Teacher Performance Pay and Student Learning: Evidence from a Nationwide Program in Peru," IZA Discussion Papers 12600, Institute of Labor Economics (IZA).
    6. Krämer, Marion & Kumar, Santosh & Vollmer, Sebastian, 2021. "Anemia, diet, and cognitive development: Impact of health information on diet quality and child nutrition in rural India," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 495-523.
    7. Federico A. Bugni & Joel L. Horowitz, 2021. "Permutation tests for equality of distributions of functional data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(7), pages 861-877, November.
    8. Hornung, Erik & Schwerdt, Guido & Strazzeri, Maurizio, 2023. "Religious practice and student performance: Evidence from Ramadan fasting," Journal of Economic Behavior & Organization, Elsevier, vol. 205(C), pages 100-119.
    9. Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2019. "Inference under covariate‐adaptive randomization with multiple treatments," Quantitative Economics, Econometric Society, vol. 10(4), pages 1747-1785, November.
    10. Youjin Hahn & Kanti Nuzhat & Hee-Seung Yang, 2018. "The effect of female education on marital matches and child health in Bangladesh," Journal of Population Economics, Springer;European Society for Population Economics, vol. 31(3), pages 915-936, July.
    11. Dasgupta, Aparajita & Majid, Farhan & Orman, Wafa Hakim, 2023. "The nutritional cost of beef bans in India," Journal of Development Economics, Elsevier, vol. 163(C).
    12. Banerjee, Abhijit & Barnhardt, Sharon & Duflo, Esther, 2018. "Can iron-fortified salt control anemia? Evidence from two experiments in rural Bihar," Journal of Development Economics, Elsevier, vol. 133(C), pages 127-146.
    13. Lubina Fatimah Qureshy & Harold Alderman & Navneet Manchanda, 2023. "Benefit-cost analysis of iron fortification of rice in India: modelling potential economic gains from improving haemoglobin and averting anaemia," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 15(1), pages 91-110, January.
    14. Yujia Gu & Hanzhong Liu & Wei Ma, 2023. "Regression‐based multiple treatment effect estimation under covariate‐adaptive randomization," Biometrics, The International Biometric Society, vol. 79(4), pages 2869-2880, December.
    15. Miguel Ángel Carpio & Lucero Gómez & Pablo Lavado, 2021. "Does social health insurance spillover to student performance? Evidence from an RDD in Peru," Working Papers 178, Peruvian Economic Association.
    16. Zhao, Anqi & Ding, Peng, 2021. "Covariate-adjusted Fisher randomization tests for the average treatment effect," Journal of Econometrics, Elsevier, vol. 225(2), pages 278-294.
    17. Katrina Kosec & Kamiljon Akramov & Bakhrom Mirkasimov & Jie Song & Hongdi Zhao, 2022. "Aspirations and women's empowerment: Evidence from Kyrgyzstan," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 30(1), pages 101-134, January.
    18. Cristina Bellés-Obrero & María Lombardi, 2020. "Teacher Performance Pay and Student Learning: Evidence from a Nationwide Program in Peru," Department of Economics Working Papers wp_gob_2020_04, Universidad Torcuato Di Tella.
    19. Liang Jiang & Liyao Li & Ke Miao & Yichong Zhang, 2023. "Adjustment with Many Regressors Under Covariate-Adaptive Randomizations," Papers 2304.08184, arXiv.org, revised Feb 2024.
    20. Huang, Qingyang & Liu, Chang & Zhou, Li-An, 2020. "Farewell to the God of Plague: Estimating the effects of China's Universal Salt Iodization on educational outcomes," Journal of Comparative Economics, Elsevier, vol. 48(1), pages 20-36.
    21. Yichong Zhang & Xin Zheng, 2020. "Quantile treatment effects and bootstrap inference under covariate‐adaptive randomization," Quantitative Economics, Econometric Society, vol. 11(3), pages 957-982, July.

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    More about this item

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

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