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Retard de scolarisation au Banglash : une analyse économétrique

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Abstract

This paper attempts to understand why children often delay school enrolment despite the prediction of human capital theory that schooling should begin at the earliest possible age. We explore different explanations of delayed enrolment but focus particularly on the effect of child health on the timing of human capital investment and on ultimate attainment. We improve on past studies in a number of ways mainly by incorporating into our analysis the endogenous nature of child health, the discrete nature of dependent variable and mainly by correcting for the problem of censoring variables. Using the Matlab Health and Socioeconomic Survey conducted in Bangladesh (1996), our results strongly suggest that early childhood malnutrition is the cause of delayed enrolment. Our estimation results suggest that the cost of three years average delayed enrolment is about 23 % of individual life-time wealth.

Suggested Citation

  • Hayfa Grira, 2007. "Retard de scolarisation au Banglash : une analyse économétrique," Documents de travail du Centre d'Economie de la Sorbonne bla07038, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  • Handle: RePEc:mse:cesdoc:bla07038
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    File URL: ftp://mse.univ-paris1.fr/pub/mse/CES2007/Bla07038.pdf
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    Keywords

    Bangladesh; anthropometry; censored ordered probit; delayed enrolment; duration models.;

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

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