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

Listed author(s):
  • Sarmistha Pal

    ()

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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File URL: http://hdl.handle.net/10.1007/s00148-004-0196-z
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Article provided by Springer & European Society for Population Economics in its journal Population Economics.

Volume (Year): 17 (2004)
Issue (Month): 4 (December)
Pages: 657-680

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Handle: RePEc:spr:jopoec:v:17:y:2004:i:4:p:657-680
DOI: 10.1007/s00148-004-0196-z
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  1. Ray, Ranjan, 2000. "Child Labor, Child Schooling, and Their Interaction with Adult Labor: Empirical Evidence for Peru and Pakistan," World Bank Economic Review, World Bank Group, vol. 14(2), pages 347-367, May.
  2. 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.
  3. Jean Dreze & Geeta Gandhi Kingdon, 1999. "School Participation in Rural India," Working papers 69, Centre for Development Economics, Delhi School of Economics.
  4. Ranjan Ray, 2000. "Analysis of child labour in Peru and Pakistan: A comparative study," Journal of Population Economics, Springer;European Society for Population Economics, vol. 13(1), pages 3-19.
  5. Geeta Gandhi Kingdon, 1998. "Does the labour market explain lower female schooling in India?," Journal of Development Studies, Taylor & Francis Journals, vol. 35(1), pages 39-65.
  6. Singh, Ram D, 1992. "Underinvestment, Low Economic Returns to Education, and the Schooling of Rural Children: Some Evidence from Brazil," Economic Development and Cultural Change, University of Chicago Press, vol. 40(3), pages 645-664, April.
  7. Birdsall, Nancy, 1985. "Public inputs and child schooling in Brazil," Journal of Development Economics, Elsevier, vol. 18(1), pages 67-86.
  8. Constantijn Panis, 1994. "The piecewise linear spline transformation," Stata Technical Bulletin, StataCorp LP, vol. 3(18), pages -.
  9. Paul Glewwe & Hanan Jacoby, 1994. "Student Achievement and Schooling Choice in Low-Income Countries: Evidence from Ghana," Journal of Human Resources, University of Wisconsin Press, vol. 29(3), pages 843-864.
  10. Rosenzweig, Mark R, 1986. "Birth Spacing and Sibling Inequality: Asymmetric Information within the Family," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 27(1), pages 55-76, February.
  11. Behrman, Jere R & Taubman, Paul, 1986. "Birth Order, Schooling, and Earnings," Journal of Labor Economics, University of Chicago Press, vol. 4(3), pages 121-145, July.
  12. George Psacharopoulos & Harry Anthony Patrinos, 1997. "Family size, schooling and child labor in Peru - An empirical analysis," Journal of Population Economics, Springer;European Society for Population Economics, vol. 10(4), pages 387-405.
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