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Determinantes socioeconómicos de las transiciones entre niveles educativos: un enfoque sobre género y ruralidad en el Perú

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Author Info

  • Denice Cavero

    ()

  • Verónica Montalva

    ()

  • José Rodríguez

    ()
    (Departamento de Economía - Pontificia Universidad Católica del Perú)

Abstract

An approach to progress through school is relevant since it allows us to analyze a broad range of educational levels, if a student is able to progress to the next grade, if he or she repeats the grade, or if he or she drops out of school. Our aim is to determine which are the factors associated with these educational results in Peru, where access and continuance in school is still a worrying matter. Our methodology comprises the estimation of both probit and multinomial models. It is important to mention that both models provide very similar results among those results which are comparable. Among the different factors, adolescent and child labor stands out as a constant disadvantage for individuals seeking to stay in the educational system. This result is maintained throughout the educational levels. The study focused particularly on rural areas of Peru and within this area on gender inequality. In rural areas of Peru, educational transition from primary to secondary school is clearly a breaking point because the proportion of individuals who progress in this transition is significantly lower than in other transitions. The situation of rural women is very interesting. We find that although they have lower repetition probabilities during primary school, they have greater dropout probabilities in the primary-secondary transition, which can turn out to be more detrimental for their long-term education acquisition. Doing chores is one of the factors that more significantly affects rural women’s dropout rate in the primary-secondary transition. Also, being behind in school (being older than one’s classmates) has a greater negative effect on women than on men. Finally, adolescent pregnancy prevents women’s progress to a large extent during secondary school. Although we do not consider our results as conclusive, we do believe that they contribute to deepen the knowledge about the dynamic of progress through school in Peru.

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Bibliographic Info

Paper provided by Departamento de Economía - Pontificia Universidad Católica del Perú in its series Documentos de Trabajo with number 2011-309.

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Length: pages
Date of creation: 2011
Date of revision:
Publication status: published
Handle: RePEc:pcp:pucwps:wp00309

Contact details of provider:
Postal: Av. Universitaria 1801, San Miguel, Lima, Perú
Phone: (511) 626-2000 ext. 4950, 4951
Fax: (511) 626-2874
Email:
Web page: http://www.pucp.edu.pe/departamento/economia/
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Related research

Keywords: Peru / educación escolar / transiciones educativas / educacion y genero / educacion y ruralidad / educacion y pobreza;

This paper has been announced in the following NEP Reports:

References

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  1. Lillard, L.A. & Willis, R.J., 1993. "Intergenerational Educational Mobility: Efects of Family and State in Malaysia," Papers 93-38, RAND - Labor and Population Program.
  2. Sarmistha Pal, 2004. "Child schooling in Peru: Evidence from a sequential analysis of school progression," Journal of Population Economics, Springer, vol. 17(4), pages 657-680, December.
  3. Avner Ahituv & Marta Tienda, 2004. "Employment, Motherhood, and School Continuation Decisions of Young White, Black, and Hispanic Women," Journal of Labor Economics, University of Chicago Press, vol. 22(1), pages 115-158, January.
  4. Jacoby, Hanan G, 1994. "Borrowing Constraints and Progress through School: Evidence from Peru," The Review of Economics and Statistics, MIT Press, vol. 76(1), pages 151-60, February.
  5. Daniele Checchi & Luca Flabbi, 2013. "Intergenerational Mobility and Schooling Decisions in Germany and Italy: The Impact of Secondary School Tracks," Rivista di Politica Economica, SIPI Spa, issue 3, pages 7-57, July-Sept.
  6. George Psacharopoulos & Harry Anthony Patrinos, 1997. "Family size, schooling and child labor in Peru - An empirical analysis," Journal of Population Economics, Springer, vol. 10(4), pages 387-405.
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