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The contribution of early childhood and schools to cognitive gaps: New evidence from Peru

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  • Castro, Juan F.
  • Rolleston, Caine

Abstract

Cognitive gaps between children of different socioeconomic backgrounds are particularly significant in the developing world. We propose and use a new decomposition strategy to measure the contribution of early childhood and school influences to the cognitive gap between urban and rural eight-year-old children in Peru. This strategy accounts for the relation between family choices and skill inputs and is less prone to biases than those employed before. We find that school influences occurring between ages 6 and 8, account for a significant share of urban/rural cognitive gap (around 35%). The share attributable to early childhood influences is important but no larger than 50%. Because skill depreciates, only a fraction of the gap (70–80%) is carried forward to the next period. Therefore, inequalities in school environments are sustaining a cognitive gap that would otherwise be smaller and this explains why differences that emerge during early childhood can remain unchanged after children start school.

Suggested Citation

  • Castro, Juan F. & Rolleston, Caine, 2018. "The contribution of early childhood and schools to cognitive gaps: New evidence from Peru," Economics of Education Review, Elsevier, vol. 64(C), pages 144-164.
  • Handle: RePEc:eee:ecoedu:v:64:y:2018:i:c:p:144-164
    DOI: 10.1016/j.econedurev.2018.03.009
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    4. María José Ogando Portela & Paul Atherton, 2020. "Outsmarting your parents: Being a first‐generation learner in developing countries," Review of Development Economics, Wiley Blackwell, vol. 24(4), pages 1237-1255, November.
    5. O.S. Kuljamina & V.P. Leonova & V.A. Vishnyakova, 2018. "Unconditional Demand based on Information Networks," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 726-734.
    6. Taji, Wael & Mandell, Blake & Liu, Jianghong, 2019. "China's urban-rural childhood cognitive divide: evidence from a longitudinal cohort study after a 6-year follow up," Intelligence, Elsevier, vol. 73(C), pages 1-7.
    7. Chen, Shuangye & Liu, Yanlin & Yang, Jin & Yang, Yuchen & Ye, Xiaoyang, 2023. "Impacts of village preschools on student enrollment and longer-term outcomes: New evidence from the poorest regions in China," International Journal of Educational Development, Elsevier, vol. 102(C).
    8. Emmanuel Ngoy & Carla Sá & Paula Veiga, 2024. "Exploring socioeconomic-related inequality in children’s cognitive achievement in Peru," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 22(3), pages 809-832, September.
    9. Arlette Beltrán & Juan F. Castro, 2018. "Combating Child Chronic Malnutrition and Anemia in Peru: Simulations based on the Achievement of Sustainable Development Goals," Working Papers 132, Peruvian Economic Association.

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    More about this item

    Keywords

    Cognitive gap; Linear decomposition; Early childhood; School inputs;
    All these keywords.

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General

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