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14<br />

The parity index must be interpreted cautiously, for<br />

various reasons. For education indicators ranging from<br />

0% to 100%, its value tends to depend on the level of<br />

the indicator, with low inequality being recorded when<br />

the level is high, approaching the ‘ceiling’ (Mingat <strong>and</strong><br />

Ndem, 2014). Thus it risks offering limited information,<br />

as knowing the level of education development (e.g. the<br />

level of the primary completion rate) can predict, to a<br />

large extent, the level of inequality.<br />

Plotting the primary completion rate against the wealth<br />

parity index illustrates this (Figure 14.5). It would be<br />

misleading to compare the value of the index of two<br />

countries, such as Honduras <strong>and</strong> Mauritania, at different<br />

completion rate levels <strong>and</strong> conclude that the latter<br />

country is more unequal. However, the index is useful to<br />

analyse inequality between countries at similar levels of<br />

education development: for example, the wealth parity<br />

index of the primary school completion rate was only<br />

0.27 in Pakistan, compared with 0.56 in the Gambia.<br />

Also, the parity index, by comparing two groups, only<br />

uses a small part of available information. To show how<br />

an education indicator is distributed in a population<br />

ranked by a characteristic such as wealth (from poorest<br />

to richest), the concentration index can be used (Figure<br />

14.1d). Its calculation is based on the area between<br />

the concentration curve (which shows the actual<br />

distribution) <strong>and</strong> the diagonal line (which shows perfect<br />

equality): the farther a line is to the right of the diagonal,<br />

the higher the inequality.<br />

For example, with respect to the distribution of the lower<br />

secondary education completion rate in sub-Saharan Africa<br />

by wealth in 2000 <strong>and</strong> 2010, the poorest 40% of young<br />

<strong>people</strong> represented less than 20% of lower secondary<br />

school completers. According to this measure, inequality<br />

fell overall between 2000 <strong>and</strong> 2010, as the curve moved<br />

closer towards the diagonal. However, the two concentration<br />

curves intersect, showing that the middle classes<br />

benefited most, while the poorest did worse (Figure 14.6).<br />

Many governments have insufficient underst<strong>and</strong>ing<br />

of the need to monitor, report <strong>and</strong> act on education<br />

inequality. However, it is expected that the 2030<br />

Agenda’s focus on leaving no one behind will lead to a<br />

FIGURE 14.5:<br />

The parity index as a measure of education inequality needs to be interpreted cautiously<br />

Primary education completion rate <strong>and</strong> wealth parity index, selected low <strong>and</strong> middle income countries, 2008–2014<br />

1<br />

0.9<br />

0.8<br />

0.7<br />

Wealth parity index<br />

0.6<br />

0.5<br />

0.4<br />

Gambia<br />

Honduras<br />

0.3<br />

0.2<br />

Mauritania<br />

Pakistan<br />

0.1<br />

0<br />

0 10 20 30 40 50 60 70 80 90 100<br />

Primary completion rate (%)<br />

Source: GEM Report team analysis (2016) based on household survey data.<br />

2016 • GLOBAL EDUCATION MONITORING REPORT 261

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