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

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  • Sarmistha Pal

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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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Bibliographic Info

Article provided by Springer 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

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Keywords: I21; J13; O15; Child schooling; school progression; resource constraint; sibling composition; sequential probit model; limited dependent variable;

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References

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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 347-67, May.
  2. Jean Drèze & Geeta Gandhi Kingdon, 1999. "School Participation in Rural India," STICERD - Development Economics Papers - From 2008 this series has been superseded by Economic Organisation and Public Policy Discussion Papers 18, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  3. Lillard, L.A. & Willis, R.J., 1995. "Intergenerational Educational Mobility, Effects of Family and State in Malaysia," Papers 95-02, RAND - Reprint Series.
  4. Geeta Gandhi Kingdon, 1997. "Does the Labour Market Explain Lower Female Schooling in India?," STICERD - Development Economics Papers - From 2008 this series has been superseded by Economic Organisation and Public Policy Discussion Papers 01, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  5. Behrman, Jere R & Taubman, Paul, 1986. "Birth Order, Schooling, and Earnings," Journal of Labor Economics, University of Chicago Press, vol. 4(3), pages S121-45, July.
  6. 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.
  7. Ranjan Ray, 2000. "Analysis of child labour in Peru and Pakistan: A comparative study," Journal of Population Economics, Springer, vol. 13(1), pages 3-19.
  8. Constantijn Panis, 1994. "The piecewise linear spline transformation," Stata Technical Bulletin, StataCorp LP, vol. 3(18).
  9. 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 645-64, April.
  10. Birdsall, Nancy, 1985. "Public inputs and child schooling in Brazil," Journal of Development Economics, Elsevier, vol. 18(1), pages 67-86.
  11. 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.
  12. 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.
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Citations

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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 for the Study of Labor (IZA).
  3. 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.
  4. 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 2011-309, Departamento de Economía - Pontificia Universidad Católica del Perú.
  5. Köllner, Sebastian, 2013. "Remittances and educational attainment: Evidence from Tajikistan," Wirtschaftswissenschaftliche Beiträge 124, Julius-Maximilians-Universität Würzburg, Lehrstuhl für Volkswirtschaftslehre, insbes. Wirtschaftsordnung und Sozialpolitik.
  6. 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.

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