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Child schooling in Peru: Evidence from a sequential analysis of school progression

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  • Sarmistha Pal

Abstract

Primary enrolment rates are very high in Peru, but so are the failure and drop-out rates. Thus an understanding of the nature of child schooling should consider school progression from primary to secondary and higher levels, taking account of the conditional sequence with the previous level and self-selection into the next higher level of schooling. Using a unique correlated sequential probit model with unobserved heterogeneity the present paper does so and obtains richer results, argued to be better than the standard static estimates. It is shown that the same set of individual/parental/household characteristics may affect different levels of schooling differently. Copyright Springer-Verlag 2004

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  • Sarmistha Pal, 2004. "Child schooling in Peru: Evidence from a sequential analysis of school progression," Journal of Population Economics, Springer;European Society for Population Economics, vol. 17(4), pages 657-680, December.
    • Handle: RePEc:spr:jopoec:v:17:y:2004:i:4:p:657-680
    DOI: 10.1007/s00148-004-0196-z
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    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. 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).
    7. 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.
    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. 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.
    10. 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.
    11. 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.
    12. 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.

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    More about this item

    Keywords

    I21; J13; O15; 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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