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The influence of price on school enrollment under Uganda's policy of free primary education

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  • Lincove, Jane Arnold

Abstract

This study uses household survey data to estimate determinants of schooling in Uganda, with a model that includes the price of school. Uganda's universal education policy offered free tuition, fees, and supplies to up to four children per family, including two daughters. The empirical method includes an estimation of a child-specific price of schooling. Despite widespread subsidies, the cost of primary school remained an obstacle under this policy, but the effects of price were similar for boys and girls. Regressions by wealth quintile estimate nonlinear effects of wealth and price, suggesting that there are opportunities to expand education through targeted cash transfer and subsidy policies.

Suggested Citation

  • Lincove, Jane Arnold, 2012. "The influence of price on school enrollment under Uganda's policy of free primary education," Economics of Education Review, Elsevier, vol. 31(5), pages 799-811.
  • Handle: RePEc:eee:ecoedu:v:31:y:2012:i:5:p:799-811 DOI: 10.1016/j.econedurev.2012.04.007
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    References listed on IDEAS

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    Cited by:

    1. Kyle McNabb, 2017. "Exploring regional and gender disparities in Beninese primary school attendance: A multilevel approach," WIDER Working Paper Series 070, World Institute for Development Economic Research (UNU-WIDER).
    2. Omoeva, Carina & Gale, Charles, 2016. "Universal, but not free: Household schooling costs and equity effects of Uganda’s Universal Secondary Education policy," International Journal of Educational Development, Elsevier, vol. 50(C), pages 41-50.
    3. Fatoke-Dato, Mafaïzath A., 2015. "Impact of an educational demand-and-supply policy on girls' education in West Africa: Heterogeneity in income, school environment and ethnicity," BERG Working Paper Series 101, Bamberg University, Bamberg Economic Research Group.
    4. Bai, Yunli & Zhang, Linxiu & Yi, Hongmei & Zheng, Liming & Rozelle, Scott, 2017. "The Impact of an Academic High School Tuition Relief Program on Students’ Matriculation into High Schools in Rural China," China Economic Review, Elsevier, vol. 43(C), pages 16-28.
    5. Jolène Labbé & James D Ford & Lea Berrang-Ford & Blanaid Donnelly & Shuaib Lwasa & Didacus Bambaiha Namanya & Sabastian Twesigomwe & Sherilee L Harper, 2016. "Vulnerability to the health effects of climate variability in rural southwestern Uganda," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 21(6), pages 931-953, August.
    6. Lincove, Jane Arnold, 2015. "Improving Identification of Demand-Side Obstacles to Schooling: Findings from Revealed and Stated Preference Models in Two SSA Countries," World Development, Elsevier, vol. 66(C), pages 69-83.

    More about this item

    Keywords

    Costs; Demand for schooling; Economic development; Human capital;

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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