Nicholas Spaull

Low Quality Education as a Poverty Trap

The weak quality of education received by most poor children in South Africa places them in permanent disadvantage relative to those attending the mainly more affluent and better performing schools. This document draws from a large number of studies undertaken for a major project and summarises this evidence, which illustrating that low quality schools act as a poverty trap.

Access to What? Creating a Composite Measure of Educational Quantity and Educational Quality for 11 African Countries.

The aim of the current study is to create a composite statistic of educational quantity and educational quality by combining household data (Demographic and Health Survey) on grade completion and survey data (Southern and Eastern African Consortium for Monitoring Educational Quality) on cognitive outcomes for 11 African countries: Kenya, Lesotho, Malawi, Mozambique, Namibia, South Africa, Swaziland, Tanzania, Uganda, Zambia, and Zimbabwe. Doing so overcomes the limitations of earlier studies that focused solely on either quantity or quality. We term the new statistic “access to literacy” and “access to numeracy” and report it by gender and wealth. This new measure combines both quantity and quality and consequently places educational outcomes at the center of the discourse.

HIV-Related Discrimination among Grade Six Students in Nine Southern African Countries

Background HIV-related stigmatisation and discrimination by young children towards their peers have important consequences at the individual level and for our response to the epidemic, yet research on this area is limited. Methods We used nationally representative data to examine discrimination of HIV-positive children by grade six students (n = 39,664) across nine countries in Southern Africa: Botswana, Lesotho, Malawi, Mozambique, Namibia, South Africa, Swaziland, Zambia and Zimbabwe. Descriptive statistics are used to compare discrimination by country, gender, geographic location and socioeconomic status. Multivariate logistic regression is employed to assess potential determinants of discrimination. Results The levels and determinants of discrimination varied significantly between the nine countries. While one in ten students in Botswana, Malawi, South Africa and Swaziland would “avoid or shun” an HIV positive friend, the proportions in Lesotho, Mozambique, Zambia and Zimbabwe were twice as high (approximately 20%). A large proportion of students believed that HIV positive children should not be allowed to continue to attend school, particularly in Zambia (33%), Lesotho (37%) and Zimbabwe (42%). The corresponding figures for Malawi and Swaziland were significantly lower at 13% and 12% respectively. Small differences were found by gender. Children from rural areas and poorer schools were much more likely to discriminate than those from urban areas and wealthier schools. Importantly, we identified factors consistently associated with discrimination across the region: students with greater exposure to HIV information, better general HIV knowledge and fewer misconceptions about transmission of HIV via casual contact were less likely to report discrimination. Conclusions Our study points toward the need for early interventions (grade six or before) to reduce stigma and discrimination among children, especially in schools situated in rural areas and poorer communities. In particular, interventions should focus on correcting misconceptions that HIV can be transmitted via casual contact.

Who makes it into PISA? Understanding the impact of PISA sample eligibility using Turkey as a case study (PISA 2003–PISA 2012)

ABSTRACT New evidence presented in this paper shows that existing accounts of Programme for International Student Assessment (PISA) in developing countries underestimate both progress and inequality because they do not take into account the large proportion of 15–16-year olds who are ineligible for the PISA sampling frame, primarily due to dropout or delay. In such countries, who makes it into PISA (sample eligibility) heavily influences representivity and therefore the interpretation of PISA results. We use PISA in Turkey 2003–2012 as a case study to show how combining measures of access (from the Turkish Demographic and Health Surveys) and learning outcomes (from PISA) can account for changes in the underlying population. We find the percentage of 15–16-year olds reaching Level 2 in PISA is up to twice as large as that reflected in official PISA reports. These findings have strong implications for inter-country and inter-temporal comparisons using PISA, particularly for developing countries.

The gospel according to Banerjee and Duflo

In their latest book, Poor Economics, Esther Duflo and Abhijit Banerjee present a highly readable overview of the problems facing the world’s poor and the most effective ways of overcoming those problems. The book covers the usual suspects of poverty research (health, education, nutrition, family size and financial access), and provides an overview of the findings from randomised control trials (RCTs). It reads as a non-technical summary of the authors’ research over the last two decades and is completely free of economic jargon and theoretical grandstanding, making the book accessible to non-economists.