Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/80967
Title: 

Making aid work for education in developing countries: An analysis of aid effectiveness for primary education coverage and quality

The document was removed on behalf of the author(s)/ the editor(s).

Year of Publication: 
2013
Series/Report no.: 
WIDER Working Paper No. 2013/021
Publisher: 
The United Nations University World Institute for Development Economics Research (UNU-WIDER), Helsinki
Abstract: 
This paper examines the effect of education aid on primary enrolment and education quality. Using the most recent data on aid disbursements and econometric specifications inspired by the general aid effectiveness literature, we find some evidence that donors' increase in funding has substantially contributed to the successful increase in enrolment over the last 15 years. The most robust effect is obtained by aid for education facilities and training. In addition, we find complementarities between aid for primary and secondary education. Our qualitative comparative analysis of education quality also highlights the relevance of a balanced mix of educational expenditures.
Subjects: 
aid effectiveness
educational enrolment
education quality
JEL: 
O20
I21
ISBN: 
978-92-9230-598-7
Additional Information: 
Corrigendum: In this working paper, we state that the main explanatory variable EDUCAID includes aid disbursements for education per capita of the recipient country population (in constant 2010 US$). De facto, the findings reported for the article’s econometric analysis reflect absolute aid rather than aid per capita. Since our main specifications are in logs the coefficient estimates of these regressions hardly change, however. When using EDUCAID in per capita terms as initially intended, the enrolment rate is estimated to increase by 6 percentage points, rather than 5.6 percentage points (in Table 1, regression 4) when education aid is doubled. Moreover, the interaction term between facilities and teacher training (Table 2, Regression 14) turns positively significant. For the recalculation of all statistical tables and the corresponding graph, see the new online appendix below.
Document Type: 
Working Paper

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The document was removed on behalf of the author(s)/ the editor(s) on: January 27, 2020


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