Decomposing Learning Inequalities in East Africa: How Much Does Sorting Matter?

Author:

Anand Paul12,Behrman Jere R3,Dang Hai-Anh H456,Jones Sam7

Affiliation:

1. Department of Social Policy and Intervention, Oxford University, Oxford, UK

2. Open University, Milton Keynes, UK

3. University of Pennsylvania, Philadelphia, USA

4. Data Production and Methods Unit, Development Data Group, World Bank, Washington DC, USA

5. International School, Vietnam National University, Hanoi, the Center for Analysis and Forecasting, Vietnam’s Academy of Social Sciences, GLO, Indiana University, USA

6. Institut zur Zukunft der Arbeit (IZA)

7. UNU-WIDER in Maputo, Mozambique

Abstract

Abstract Inequalities in learning opportunities arise from both household- and school-related factors. Although these factors are unlikely to be independent, few studies have considered the extent to which sorting between schools and households might aggravate educational inequalities. To fill this gap, this article presents a novel variance decomposition, which is then applied to data from over one million children from East Africa. Results indicate that sorting accounts for around 8 percent of the test-score variance, similar in magnitude to the contribution of differences in school quality. Empirical simulations of steady-state educational inequalities reveal that policies to mitigate sorting could substantially reduce educational inequalities over the long run.

Publisher

Oxford University Press (OUP)

Subject

Economics and Econometrics,Finance,Development,Accounting

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