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Child Schooling in Peru: Evidence From A Sequential Analysis of School Progression

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  • Sarmistha Pal

    (Cardiff Business School, Cardiff University)

Abstract

Primary enrolment rates are very high in Peru, but so are the failure and drop-out rates, especially beyond the primary level. Thus an analysis of child schooling should take account of the conditional sequence with the previous level and self-selection into the next higher level of schooling. This cannot be done using standard univariate or ordered logit/probit models of school enrolment/grade attainment. This paper applies a unique correlated sequential probit model with unobserved individual specific heterogeneity to determine the nature of school progression at primary, secondary and post-secondary levels in Peru. This entails richer results, argued to be better than the standard static estimates. In particular, parental education, household expenditure, sibling composition and local adult market participation rates are found to affect different levels of schooling differently. While parental education is crucial for child school enrolment at the primary level, sibling composition and household expenditure turn out to be significant for attainment at the secondary level. However, grade repetition at primary and secondary levels and market participation rates are important for a child to move on to the post-secondary levels.

Suggested Citation

  • Sarmistha Pal, 2003. "Child Schooling in Peru: Evidence From A Sequential Analysis of School Progression," Labor and Demography 0309001, University Library of Munich, Germany.
  • Handle: RePEc:wpa:wuwpla:0309001
    Note: Type of Document - ; prepared on IBM PC - PC-TEX/UNIX Sparc TeX; pages: 31 . I have not yet published this piece and would like to get it circulated.
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    Cited by:

    1. Manisha Chakrabarty & Sumon Kumar Bhaumik, 2012. "Whither human capital? The woeful tale of transition to tertiary education in India," Applied Economics Letters, Taylor & Francis Journals, vol. 19(9), pages 835-838, June.
    2. Cardoso, Ana Rute & Verner, Dorte, 2006. "School Drop-Out and Push-Out Factors in Brazil: The Role of Early Parenthood, Child Labor, and Poverty," IZA Discussion Papers 2515, Institute of Labor Economics (IZA).
    3. Abdul Malik Iddrisu & Michael Danquah & Peter Quartey, 2017. "Analysis of School Enrollment in Ghana: A Sequential Approach," Review of Development Economics, Wiley Blackwell, vol. 21(4), pages 1158-1177, November.
    4. Luciana Méndez-Errico & Xavier Ramos, 2022. "Selection and educational attainment: why some children are left behind? Evidence from a middle-income country," Education Economics, Taylor & Francis Journals, vol. 30(6), pages 624-643, November.
    5. Asencios, Roger, 2016. "Rendimiento escolar en el Perú: Análisis secuencial de los resultados de la Evaluación Censal de Estudiantes," Working Papers 2016-005, Banco Central de Reserva del Perú.
    6. Köllner, Sebastian, 2013. "Remittances and educational attainment: Evidence from Tajikistan," Discussion Paper Series 124, Julius Maximilian University of Würzburg, Chair of Economic Order and Social Policy.
    7. Denice Cavero & Verónica Montalva & José Rodríguez, 2011. "Determinantes socioeconómicos de las transiciones entre niveles educativos: un enfoque sobre género y ruralidad en el Perú," Documentos de Trabajo / Working Papers 2011-309, Departamento de Economía - Pontificia Universidad Católica del Perú.
    8. Daisuke Nagakura & Masahito Kobayashi, 2009. "Testing The Sequential Logit Model Against The Nested Logit Model," The Japanese Economic Review, Japanese Economic Association, vol. 60(3), pages 345-361, September.
    9. Zeba A. Sathar & Asif Wazir & Maqsood Sadiq, 2013. "Struggling against the Odds of Poverty, Access, and Gender: Secondary Schooling for Girls in Pakistan," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 18(Special E), pages 67-92, September.
    10. Weitzman, Abigail, 2017. "The effects of women's education on maternal health: Evidence from Peru," Social Science & Medicine, Elsevier, vol. 180(C), pages 1-9.
    11. Toseef Azid & Rana Ejaz Ali Khan, 2010. "Who are the children going to school in Urban Punjab (Pakistan)?," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 37(6), pages 442-465, May.
    12. SIDDIQUI, Anjum & IRAM, Uzma, 2007. "Socioeconomic Determinants Of School Progression In Pakistan," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 7(2), pages 179-192.

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    More about this item

    Keywords

    Child schooling; School progression; Resource constraint; Sibling composition; Sequential probit model; Limited dependent variable;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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