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Spatial divergence of primary education development in Bangladesh through the lens of Education Development Index (EDI)

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  • Raihan, Selim
  • Ahmed, Mansur

Abstract

This paper addresses the issue of spatial divergence in educational performances in primary education sector through the construction of education development index (EDI). The paper uses principal component analysis to generate weights for indicators used in the construction of multidimensional general EDI. The paper finds that upazilas are, in general, performing poorly in terms of school access, school infrastructure, and school outcome. While upazilas from metropolitan areas perform very well and remain at the high range of each EDIs; upazilas from the ‘haor’ region, the Chittagong Hill Tracts (CHT), the coastal region and the regions along the Jamuna River perform poorly and remain at the very bottom range of each EDIs.

Suggested Citation

  • Raihan, Selim & Ahmed, Mansur, 2016. "Spatial divergence of primary education development in Bangladesh through the lens of Education Development Index (EDI)," MPRA Paper 71177, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:71177
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    References listed on IDEAS

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    1. Booysen, Frikkie & van der Berg, Servaas & Burger, Ronelle & Maltitz, Michael von & Rand, Gideon du, 2008. "Using an Asset Index to Assess Trends in Poverty in Seven Sub-Saharan African Countries," World Development, Elsevier, vol. 36(6), pages 1113-1130, June.
    2. Pritchett, Lant & Filmer, Deon, 1999. "What education production functions really show: a positive theory of education expenditures," Economics of Education Review, Elsevier, vol. 18(2), pages 223-239, April.
    3. Jaya Krishnakumar & A. Nagar, 2008. "On Exact Statistical Properties of Multidimensional Indices Based on Principal Components, Factor Analysis, MIMIC and Structural Equation Models," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 86(3), pages 481-496, May.
    4. Michela Nardo & Michaela Saisana & Andrea Saltelli & Stefano Tarantola & Anders Hoffman & Enrico Giovannini, 2005. "Handbook on Constructing Composite Indicators: Methodology and User Guide," OECD Statistics Working Papers 2005/3, OECD Publishing.
    5. Simon Appleton & Arsene Balihuta, 1996. "Education and agricultural productivity: Evidence from Uganda," Journal of International Development, John Wiley & Sons, Ltd., vol. 8(3), pages 415-444.
    6. Stanislav Kolenikov & Gustavo Angeles, 2009. "Socioeconomic Status Measurement With Discrete Proxy Variables: Is Principal Component Analysis A Reliable Answer?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(1), pages 128-165, March.
    7. Simon Appleton & Arsene Balihuta, 1996. "Education and agricultural productivity: Evidence from Uganda," Journal of International Development, John Wiley & Sons, Ltd., vol. 8(3), pages 415-444.
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    Cited by:

    1. Faruk, Avinno, 2017. "What matters for the quality of education in South Asia: An empirical examination with a QEI," MPRA Paper 91982, University Library of Munich, Germany.
    2. Farzin Mumtahena & Kaustav Sen & Mahnoor Imran Sayyed & Pasan Wijayawardhana & Roya Zafari & Shrijya Kafle, 2023. "Learning Losses of Undergraduate Students in South Asia during COVID‐19 and its Determinants," Economic Papers, The Economic Society of Australia, vol. 42(4), pages 366-394, December.

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    More about this item

    Keywords

    Education Development Index (EDI); principal component analysis; spatial divergence;
    All these keywords.

    JEL classification:

    • 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

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