Authorized Authorized
eERqs
eERqs
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
EXPANDING OPPORTUNITIES<br />
113<br />
The internet makes labor markets more efficient<br />
by connecting a larger pool of individuals and firms at<br />
lower cost. 56 Indeed.com, Monster.com, and elempleo<br />
.com are international platforms that aggregate job<br />
vacancies from different sources and allow firms to<br />
post job openings, and workers to apply for jobs and<br />
post résumés. Similar services exist for local markets,<br />
such as aldaba.com in the Dominican Republic and<br />
kariyer.net in Turkey. Social and professional networking<br />
sites also provide information on potential<br />
workers, often on behavioral aspects and social ties<br />
not reflected in traditional resumes. LinkedIn, the<br />
largest online professional network, has more than<br />
310 million registered members, 67 percent outside<br />
the United States. In Brazil, LinkedIn’s penetration<br />
rate is already at 8 percent. 57 In most countries, online<br />
job search remains concentrated among youth and<br />
the best educated and grows with income: online job<br />
search among the employed and unemployed is above<br />
20 percent in urban Armenia and Georgia, but below<br />
5 percent in urban Bolivia, Ghana, the Lao People’s<br />
Democratic Republic, Sri Lanka, and Vietnam. 58<br />
Online job boards, social media, and matching<br />
platforms can improve labor market efficiency, especially<br />
in developing countries and in the informal<br />
sector, where information failures are large. Online<br />
job matching is cheaper and faster than traditional<br />
methods. 59 In Peru, integrating mobile phones into<br />
traditional public intermediation services increased<br />
employment among job seekers by 8 percentage<br />
points in the short term. 60 In Germany, online job<br />
seekers are better matched to jobs, are happier with<br />
work, and have higher chances of promotion and job<br />
security. 61 But other studies find no effect of online<br />
tools on the speed of matching or on the length of<br />
unemployment. 62 The large number of applications<br />
per vacancy and stale resumes and job posts makes it<br />
costly for employers to select workers and for workers<br />
to find available jobs. As online tools become more<br />
advanced, however, matching is becoming more<br />
effective. In the United States, the average unemployment<br />
duration for internet searchers was 25 percent<br />
shorter than for noninternet searchers, reversing<br />
earlier results. 63<br />
Online tools can address many labor market frictions,<br />
but much of this potential remains unrealized.<br />
A first challenge is reaching lower-skilled workers.<br />
Some services, such as Souktel, are solving this via<br />
mobile phone (box 2.5). Babajob in India and Duma<br />
in Kenya have also implemented innovations to<br />
reach the bottom of the pyramid. They use text messaging<br />
and “missed calls” to connect low-skilled and<br />
informal workers to vacancies. A second challenge is<br />
Figure 2.9 Returns to education remain high despite<br />
significant expansion in the supply of educated<br />
workers, especially for tertiary education<br />
Average return to one additional year of education in tertiary education<br />
Percent<br />
25<br />
20<br />
15<br />
10<br />
5<br />
0<br />
2004 2005 2006 2007 2008 2009 2010 2011 2012<br />
Women, low- and middle-income countries<br />
Men, low- and middle-income countries<br />
Women, high-income countries<br />
Men, high-income countries<br />
Source: WDR 2016 team, based on Montenegro and Patrinos 2014. Data at http://bit.do<br />
/WDR2016-Fig2_9.<br />
Note: Includes 97 countries and only wage employees. The regressions control for potential experience<br />
and potential experience squared using individuals’ age.<br />
Figure 2.10 Returns to education<br />
are particularly high in ICT-intensive<br />
occupations<br />
Wage premium, beyond returns to education, for working in<br />
an ICT-intensive occupation<br />
Percent<br />
6<br />
5<br />
4<br />
3<br />
2<br />
1<br />
0<br />
Low- and middle-income<br />
countries<br />
Women<br />
High-income countries<br />
Men<br />
Source: WDR 2016 team, based on Monroy-Taborda, Moreno, and Santos,<br />
forthcoming, for the WDR 2016. Data at http://bit.do/WDR2016-Fig2_10.<br />
Note: An ICT-intensive occupation scores 4 or higher in an index between 0<br />
(no use of technology at work) and 6 (most use of technology at work).<br />
ICT = information and communication technology.