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Benefits of enhanced access to education in Tanzania

Author

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  • Livini Donath
  • Oliver Morrissey
  • Trudy Owens

Abstract

Motivation Expanding access to education is a desirable policy. Tanzania implemented Universal Primary Education (UPE) in 2001 and expanded secondary education in 2006. However, evidence that UPE delivers benefits in educational attainment or earnings is scarce. We investigate if the enhanced access to education (EAE) in the 2000s benefitted the youth able to complete more schooling, those aged 15–25 in 2018. Purpose There is evidence that expansion of primary education in Tanzania in the 1970s increased the incomes of the individuals who benefitted. We compare households headed by youth aged 15–25 and by adults (aged over 35) in 2001 and 2018 to identify benefits of EAE. Methods and approach Household welfare is measured as consumption per adult equivalent relative to the national poverty line using Household Budget Survey data for 2001 and 2018. We examine whether welfare differences comparing youth‐headed and adult‐headed households in 2001 and 2018 are attributable to differences in educational attainment of youth due to EAE using regression analysis and decomposition methods. Findings The increase in youth educational attainment by 2018 is a significant factor explaining the increase in welfare of youth‐headed households between 2001 and 2018. If the youth in 2001 had the same education endowment as their 2018 counterparts, their relative welfare would have been about a quarter higher. If adults had the same level of educational attainment as the youth, their welfare would have been about a third higher in 2018. Policy implications Expanding access to education via EAE had a positive effect on the welfare of youth, represented by those who were heads of households, in Tanzania due to increased years of schooling, providing support for implementing policies that improve access to schooling. Benefits are greatest for younger youth, aged 19–24 in 2018. Returns to schooling declined, suggesting that growth in demand for skilled labour did not match the supply of educated entrants to the labour force.

Suggested Citation

  • Livini Donath & Oliver Morrissey & Trudy Owens, 2023. "Benefits of enhanced access to education in Tanzania," Development Policy Review, Overseas Development Institute, vol. 41(3), May.
    • Handle: RePEc:bla:devpol:v:41:y:2023:i:3:n:e12674
    DOI: 10.1111/dpr.12674
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    References listed on IDEAS

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    1. Livini Donath & Oliver Morrissey & Trudy Owens, 2021. "Does the pay period matter in estimating returns to schooling? Evidence from East Africa," Discussion Papers 2021-01, University of Nottingham, CREDIT.
    2. Samer Al-Samarrai & Barry Reilly, 2008. "Education, Employment and Earnings of Secondary School and University Leavers in Tanzania: Evidence from a Tracer Study," Journal of Development Studies, Taylor & Francis Journals, vol. 44(2), pages 258-288.
    3. Serneels, Pieter & Beegle, Kathleen & Dillon, Andrew, 2017. "Do returns to education depend on how and whom you ask?," Economics of Education Review, Elsevier, vol. 60(C), pages 5-19.
    4. Aslihan Arslan & David E. Tschirley & Eva-Maria Egger, 2021. "Rural Youth Welfare along the Rural-urban Gradient: An Empirical Analysis across the Developing World," Journal of Development Studies, Taylor & Francis Journals, vol. 57(4), pages 544-570, April.
    5. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    6. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    7. Delesalle, Esther, 2021. "The effect of the Universal Primary Education program on consumption and on the employment sector: Evidence from Tanzania," World Development, Elsevier, vol. 142(C).
    8. Sophia Kan & Stephan Klasen, 2021. "Evaluating universal primary education in Uganda: School fee abolition and educational outcomes," Review of Development Economics, Wiley Blackwell, vol. 25(1), pages 116-147, February.
    9. George Psacharopoulos & Harry Anthony Patrinos, 2018. "Returns to investment in education: a decennial review of the global literature," Education Economics, Taylor & Francis Journals, vol. 26(5), pages 445-458, September.
    10. Sergio P. Firpo & Nicole M. Fortin & Thomas Lemieux, 2018. "Decomposing Wage Distributions Using Recentered Influence Function Regressions," Econometrics, MDPI, vol. 6(2), pages 1-40, May.
    11. Rumman Khan & Oliver Morrissey, 2020. "Income diversification and household welfare in Tanzania 2008-2013," WIDER Working Paper Series wp-2020-110, World Institute for Development Economic Research (UNU-WIDER).
    12. Livini Donath & Oliver Morrissey & Trudy Owens, 2022. "Universal primary education and household welfare in Tanzania," Discussion Papers 2022-02, University of Nottingham, CREDIT.
    13. Frank Agyire-Tettey & Charles Godfred Ackah & Derek Asuman, 2018. "An Unconditional Quantile Regression Based Decomposition of Spatial Welfare Inequalities in Ghana," Journal of Development Studies, Taylor & Francis Journals, vol. 54(3), pages 537-556, March.
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