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2<br />

disproportionately affected, accounting for over onethird<br />

of the unemployed globally (ILO, 2015b). Some<br />

regions display considerable gender disparity, including<br />

Latin America <strong>and</strong> the Caribbean, sub-Saharan Africa <strong>and</strong>,<br />

in particular, Northern Africa <strong>and</strong> Western Asia, where<br />

21% of women are unemployed – almost double the share<br />

of men. Underemployment is also significant. In the<br />

European Union, 10 million are underemployed, twothirds<br />

of them women (Eurostat, 2015). Unemployment<br />

figures exclude those who have stopped actively seeking<br />

work, often because they cannot find employment or<br />

have given up. In 2013, the number of these ‘discouraged<br />

workers’ was estimated at 23 million globally (ILO, 2014).<br />

Education can have a significant role in facilitating<br />

employment, as reflected in lower unemployment rates<br />

among the comparatively educated, particularly in richer<br />

countries. However, in poorer countries this relationship<br />

often breaks down, suggesting both that dem<strong>and</strong> for<br />

skilled labour is limited <strong>and</strong> that education systems<br />

are not enabling students to acquire relevant skills<br />

(ILO, 2015a; Sparreboom <strong>and</strong> Staneva, 2014).<br />

In richer countries, low educational attainment has a<br />

strong association with unemployment <strong>and</strong> inactivity.<br />

In the OECD, only 55% of adults aged 25 to 64 with less<br />

than an upper secondary education were employed<br />

in 2013, compared with 73% of those with an upper<br />

secondary or non-tertiary education <strong>and</strong> 83% with a<br />

tertiary qualification (OECD, 2015c). 8 The corresponding<br />

rates among those aged 15 to 29 who were not in<br />

education were 49%, 73% <strong>and</strong> 83% (OECD, 2015b).<br />

Evidence across 11 EU countries shows that the<br />

probability of long-term unemployment decreases<br />

with higher educational attainment (Garrouste et al.,<br />

2010). In emerging economies such as South Africa<br />

<strong>and</strong> Turkey, there are large differences in employment<br />

rates by educational attainment. In South Africa, less<br />

than 45% of the adult<br />

population with less<br />

than upper secondary<br />

Evidence across 11<br />

education were<br />

EU countries shows employed in 2005,<br />

compared to over 60%<br />

that long-term<br />

who completed upper<br />

unemployment<br />

secondary, <strong>and</strong> over<br />

decreases with higher 80% with a tertiary<br />

qualification (Quintini<br />

educational attainment<br />

<strong>and</strong> Martin, 2013). In<br />

the United States, high<br />

school <strong>and</strong> university completion significantly increases<br />

the chance of unemployed workers finding work within a<br />

year (Riddell <strong>and</strong> Song, 2011).<br />

By contrast, unemployment in non-OECD countries is<br />

often associated with higher levels of education. In Asia<br />

<strong>and</strong> the Pacific, North Africa <strong>and</strong> Western Asia, <strong>and</strong> sub-<br />

Saharan Africa the youth unemployment rate increases<br />

with the level of education. Youth with tertiary education<br />

in these regions are two to three times more likely to be<br />

unemployed than youth with primary education or less<br />

(ILO, 2015a). In several sub-Saharan African countries,<br />

differences are especially large among young adults aged<br />

25-34. In the United Republic of Tanzania, for example,<br />

unemployment is almost negligible among those with<br />

primary education or less, but almost 17% for those<br />

with tertiary education (UCW, 2013). Such outcomes<br />

are partly due to the more educated coming from<br />

wealthier backgrounds <strong>and</strong> thus able to sustain periods<br />

of unemployment, whereas employment is necessary for<br />

survival among the poorer <strong>and</strong> less educated (UCW, 2013).<br />

High unemployment rates among the relatively<br />

educated – particularly among youth – also reflect low<br />

education quality, weak skills acquisition <strong>and</strong> limited<br />

labour dem<strong>and</strong>. In Northern Africa <strong>and</strong> Western Asia,<br />

where youth unemployment is pervasive, education<br />

quality is low, as indicated by the fact that some 75% of<br />

eighth grade students scored poorly on international<br />

mathematics tests. Tertiary enrolment is also weighted<br />

towards subjects with relatively low labour market<br />

dem<strong>and</strong> (particularly law, the humanities <strong>and</strong> business/<br />

commerce). These factors may explain why almost<br />

40% of firms in Northern Africa <strong>and</strong> Western Asia – the<br />

highest share of any region – identified an inadequately<br />

educated workforce as a major constraint to growth<br />

(Gatti et al., 2013).<br />

TVET is often promoted as a potential solution to youth<br />

unemployment, facilitating school-to-work transition<br />

by providing skills more relevant to the labour market.<br />

However, the evidence is mixed: While some studies<br />

indicate that vocational education increases youth<br />

employment, the consistency of the finding in different<br />

settings <strong>and</strong> over the life course varies (Hanushek et al.,<br />

2011; OECD, 2015b).<br />

There is a limit to the extent countries can educate<br />

themselves out of unemployment. In poorer countries,<br />

high unemployment rates among the educated likely<br />

reflects limited dem<strong>and</strong> for skilled labour, amplified by<br />

56<br />

CHAPTER 2 | PROSPERITY: SUSTAINABLE AND INCLUSIVE ECONOMIES

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