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SOCIOECONOMIC DETERMINANTS OF SCHOOL PROGRESSION IN PAKISTAN. (2007). Siddiqui, Anjum ; Iram, Uzma.
In: Applied Econometrics and International Development.
RePEc:eaa:aeinde:v:7:y:2007:i:2_16.

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  1. Who are the children going to school in Urban Punjab (Pakistan)?. (2010). Khan, Rana ; Azid, Toseef ; Rana Ejaz Ali KHAN, .
    In: International Journal of Social Economics.
    RePEc:eme:ijsepp:v:37:y:2010:i:6:p:442-465.

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References

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  3. Downey, Douglas B. 1995. When Bigger is Not Better: Family Size, Parental Resources, and Childrens Educational Performance. American Sociology Review 60:746-761.
    Paper not yet in RePEc: Add citation now
  4. Ray, R. 2000b. `Child Labour, Child Schooling and Their Interaction with Adult Labour: Empirical Evidence for Peru and Pakistan, The World Bank Economic Review, 14(2), pp. 347-67.

  5. Sarmistha Pal (2004). Child Schooling In Peru: Further Evidence from a Sequential Analysis of School Progression. Journal of Population Economics, vol. 17, issue 4, pp. 657-680.

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  7. Schultz, P.T. (1993). Investments in the Schooling and Health of Women and Men: Quantity and Returns. Journal of Human Resources, 28, 694-734.

  8. Schultz, T.P. (1993). Returns to Womens Education in Womens Education in Developing Countries: Barriers, Benefits and Policies, eds. E.M. King and M.A. Hill, Baltimore and London: The Johns Hopkins University Press for the World Bank, pp. 5 1-99.

  9. Siddiqui Anjum (2007). Human Capital Investment and Development in India and South Asia: Economic Developments in the Age of Globalization ed. Siddiqui Anjum, M.E. Sharpe Publishers, New York.

  10. Usha Jayachandran (2002). Socio-Economic Determinants of School Attendance in India. Working Paper No.103. Centre for Development Economics.

  11. Waelbroeck, P., (2003). Comparison of Simulated Maximum Likelihood and Bayesian MCMC in the Sequential Probit Model: A Monte Carlo Study, ECARES and FNRS, 21.
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