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Proximate Determinants of School Dropout: A study on Rural West Bengal

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  • Hati, Koushik Kumar
  • Majumder, Rajarshi

Abstract

In recent days, controlling school dropout has emerged to be the prime hindrance to spread literacy and formation of human resource thereby. The present paper is an attempt to identify proximate determinants of school dropout and suggest probable solutions to the problem. Status of enrollment & dropout at national and state level has been explored using macro data. Thereafter logistic estimation technique using micro level primary survey data has been used to identify factors that affect chances of school attendance. We also observe gender differences in chances of drop out as also differences in factors that affect this. Estimation result has been used to frame policy suggestions so as to improve chances of universalization of education.

Suggested Citation

  • Hati, Koushik Kumar & Majumder, Rajarshi, 2012. "Proximate Determinants of School Dropout: A study on Rural West Bengal," MPRA Paper 45850, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:45850
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    References listed on IDEAS

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    1. Chernichovsky, Dov, 1985. "Socioeconomic and Demographic Aspects of School Enrollment and Attendance in Rural Botswana," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 319-332, January.
    2. Niall O'Higgins & Marcello D'Amato & Floro Ernesto Caroleo & Adriana Barone, 2007. "Gone for Good? Determinants of School Dropout in Southern Italy," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 66(2), pages 207-246, July.
    3. M. Anne Hill & June O'Neill, 1994. "Family Endowments and the Achievement of Young Children with Special Reference to the Underclass," Journal of Human Resources, University of Wisconsin Press, vol. 29(4), pages 1064-1100.
    4. Shahnaz Hamid, 1993. "A Micro Analysis of Demand-side Determinants of Schooling in Urban Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 32(4), pages 713-723.
    5. King, Elizabeth M. & Lillard, Lee A., 1987. "Education policy and schooling attainment in Malaysia and the Philippines," Economics of Education Review, Elsevier, vol. 6(2), pages 167-181, April.
    6. Rosenzweig, Mark R & Evenson, Robert E, 1977. "Fertility, Schooling, and the Economic Contribution of Children in Rural India: An Econometric Analysis," Econometrica, Econometric Society, vol. 45(5), pages 1065-1079, July.
    7. Arleen Leibowitz, 1974. "Home Investments in Children," NBER Chapters,in: Economics of the Family: Marriage, Children, and Human Capital, pages 432-456 National Bureau of Economic Research, Inc.
    8. Taubman, Paul, 1989. "Role of Parental Income in Educational Attainment," American Economic Review, American Economic Association, vol. 79(2), pages 57-61, May.
    9. Tansel, Aysit, 1997. "Schooling Attainment, Parental Education, and Gender in Cote d'Ivoire and Ghana," Economic Development and Cultural Change, University of Chicago Press, vol. 45(4), pages 825-856, July.
    10. Hati, Koushik Kumar & Majumder, Rajarshi, 2009. "Impact of Alternative & Innovative Education Programmes: A Study of Bridge Course Centres in Bardhaman District," MPRA Paper 45845, University Library of Munich, Germany, revised Oct 2010.
    11. Wolfe, Barbara L. & Behrman, Jere R., 1984. "Who is schooled in developing countries? The roles of income, parental schooling, sex, residence and family size," Economics of Education Review, Elsevier, vol. 3(3), pages 231-245, June.
    12. Behrman, Jere R & Taubman, Paul, 1989. "Is Schooling "Mostly in the Genes"? Nature-N urture Decomposition Using Data on Relatives," Journal of Political Economy, University of Chicago Press, vol. 97(6), pages 1425-1446, December.
    13. Murnane, Richard J., 1981. "New evidence on the relationship between mother's education and children's cognitive skills," Economics of Education Review, Elsevier, vol. 1(2), pages 245-252, April.
    14. Harold Alderman & Jere R. Behrman & David R. Ross & Richard Sabot, 1996. "Decomposing the Gender Gap in Cognitive Skills in a Poor Rural Economy," Journal of Human Resources, University of Wisconsin Press, vol. 31(1), pages 229-254.
    15. Arleen Leibowitz, 1974. "Home Investments in Children," NBER Chapters,in: Marriage, Family, Human Capital, and Fertility, pages 111-135 National Bureau of Economic Research, Inc.
    16. Jamison, Dean T & Lockheed, Marlaine E, 1987. "Participation in Schooling: Determinants and Learning Outcomes in Nepal," Economic Development and Cultural Change, University of Chicago Press, vol. 35(2), pages 279-306, January.
    17. Robert Haveman & Barbara Wolfe & James Spaulding, 1991. "Childhood events and circumstances influencing high school completion," Demography, Springer;Population Association of America (PAA), vol. 28(1), pages 133-157, February.
    18. Leibowitz, Arleen, 1974. "Home Investments in Children," Journal of Political Economy, University of Chicago Press, vol. 82(2), pages 111-131, Part II, .
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    More about this item

    Keywords

    School Education; Literacy; Dropout; Logistic Estimation; Gender;

    JEL classification:

    • H11 - Public Economics - - Structure and Scope of Government - - - Structure and Scope of Government
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

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