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2<br />

reflecting the scarcity of skilled workers (Montenegro<br />

<strong>and</strong> Patrinos, 2014).<br />

In recent years, international surveys directly measuring<br />

skills among youth <strong>and</strong> adults have shown that<br />

literacy, numeracy <strong>and</strong> problem-solving abilities have a<br />

significant impact on earnings. For example, in 22 OECD<br />

countries, a st<strong>and</strong>ard deviation increase in literacy <strong>and</strong><br />

numeracy skills is associated with an average increase<br />

in hourly wages of 17% <strong>and</strong> 18%, respectively 12 (Hanushek<br />

et al., 2013). Among urban populations in eight low <strong>and</strong><br />

middle income countries, the increase in hourly earnings<br />

associated with a st<strong>and</strong>ard deviation increase in literacy<br />

scores ranges from 9 percentage points in Ukraine to<br />

about 25 percentage points in Ghana <strong>and</strong> Kenya (Valerio<br />

et al., 2015). 13 In both OECD <strong>and</strong> lower income countries,<br />

returns are highest among prime-age workers (35 to 54),<br />

who presumably are more able to apply their skills in<br />

employment (Chua, 2015; Hanushek et al., 2013).<br />

Differences in returns to literacy skills on earnings<br />

between richer <strong>and</strong> poorer countries suggest their<br />

relative scarcity in the latter. For example, in the<br />

Plurinational State of Bolivia, Ghana <strong>and</strong> Kenya, the<br />

returns to literacy are the highest in the World Bank<br />

STEP Skills Measurement Survey sample, but the literacy<br />

scores are the lowest, with the majority of adults<br />

possessing not even basic literacy skills of at least level 2<br />

(Valerio et al., 2015). Nevertheless, there is considerable<br />

scope to improve literacy even in OECD countries,<br />

where large proportions of adults do not possess more<br />

developed skills above level 2 (OECD, 2015a).<br />

Facilitating employment in higher skill occupations is<br />

an important route through which education increases<br />

earnings. It enables workers to perform a range of<br />

complex tasks inherent to higher skill work. In OECD<br />

economies, workers in managerial, professional <strong>and</strong><br />

technical occupations have, unsurprisingly, the highest<br />

earnings by some margin compared to those in lesser<br />

skilled occupations (De La Rica <strong>and</strong> Gortazar, 2016).<br />

Analysis of STEP survey data shows similar patterns for<br />

the low <strong>and</strong> middle income countries sampled.<br />

However, upper secondary education on its own does<br />

not appear to facilitate access to high skill occupations;<br />

instead tertiary education is likely a necessity. The<br />

education profiles between those in high skill <strong>and</strong> lower<br />

skill work are strikingly different (Figure 2.6). High skill<br />

employment largely remains the preserve of those<br />

FIGURE 2.6:<br />

Tertiary education is largely required for employment in high skill occupations<br />

Occupational skill by educational attainment<br />

%<br />

100<br />

90<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

High income<br />

Low <strong>and</strong> middle<br />

income<br />

High income<br />

Low <strong>and</strong> middle<br />

income<br />

High income<br />

Low <strong>and</strong> middle<br />

income<br />

High skill occupations Medium skill occupations Low skill occupations<br />

Primary or less Lower secondary Upper-secondary/post-secondary non-tertiary Tertiary<br />

Notes: Low <strong>and</strong> middle income countries are Armenia, the Plurinational State of Bolivia, China (Yunnan province), Colombia, Georgia, Ghana, Kenya,<br />

the Lao People’s Democratic Republic, Sri Lanka, the former Yugoslav Republic of Macedonia, Ukraine <strong>and</strong> Viet Nam. High income countries are<br />

Germany, the Republic of Korea <strong>and</strong> the United States. Data are weighted by sample target population. Only urban areas are covered in low <strong>and</strong><br />

middle income countries. Skilled occupations are classified according to 1 digit ISCO-08 codes, following the ILO Global Employment Trends (GET)<br />

Model Extension (GME) methodology. High skill occupations are those of managers, professionals, technicians <strong>and</strong> associate professionals. Medium<br />

skill workers are clerical support workers, service <strong>and</strong> sales workers, skilled agricultural, forestry <strong>and</strong> fishery workers, craft <strong>and</strong> related trades<br />

workers, plant <strong>and</strong> machine operators <strong>and</strong> assemblers. Low skill workers are those in elementary occupations, such as cleaners, street vendors <strong>and</strong><br />

labourers in mining, construction, manufacturing <strong>and</strong> transport.<br />

Source: GEM Report team calculations based on World Bank STEP Skills Measurement Surveys (2012–2013) <strong>and</strong> OECD PIAAC Survey of Adult Skills.<br />

2016 • GLOBAL EDUCATION MONITORING REPORT 59

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