Understanding Out-of-Work and Out-of-School Youth in Europe and Central Asia
The objectives of this study are to describe and analyze the out-of-work and out-of-school youth (ages 15-24) in the Europe and Central Asia2 (ECA) region. People who are out-of-work and out-of-school are referred to as NEET (Not in Employment, Edu...
| Main Authors: | , |
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| Format: | Report |
| Language: | English en_US |
| Published: |
World Bank, Washington, DC
2015
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| Subjects: | |
| Online Access: | http://documents.worldbank.org/curated/en/2015/08/24928250/understanding-out-of-work-out-of-school-youth-europe-central-asia http://hdl.handle.net/10986/22806 |
| Summary: | The objectives of this study are to
describe and analyze the out-of-work and out-of-school youth
(ages 15-24) in the Europe and Central Asia2 (ECA) region.
People who are out-of-work and out-of-school are referred to
as NEET (Not in Employment, Education or Training). This
study attempts to characterize the NEETs by age, gender,
education and their activity status. The main findings of
this study are listed are as follows: first, the authors
find that in the post-2009 period the youth NEET rate for
the ECA region was 19.60 percent, which is higher than the
OECD youth NEET rate of 16 in 2011 (OECD 2013). Second, this
study finds that the NEET rate prior to the financial crisis
in 2009 was on the decline, and increased in the post-2009
period. Third, this study finds that the NEET rate for ECA
is higher for women than for men for all years. However,
since the financial crisis in 2009, the gender gap has
declined from 4.64 in pre-2009 to 2.75 percentage points in
post-2009, suggesting that young men were more adversely
affected by the recession than women. Forth, this study
finds that in the ECA region youth males are more often
classified as NEETs but active in the labor market, and
youth females are more often classified as NEETs but
inactive in the labor market. Fifth, using a linear
probability model, this study finds that individuals, who
are 20-24 years of age, have a lower level of educational
attainment and married females are more likely to be NEET.
Also, individuals living in urban areas and with lower
household sizes are less likely to be NEET. Sixth, another
linear probability model was constructed using household
budget surveys for six countries in ECA from 2009. The main
finding from this model was that NEET youths tend to live in
households with lower per capita consumption than their
non-NEET counterparts. Seventh, there is an increase in the
NEET (unemployed) rate after the crisis, while the NEET
(inactive) rate stayed roughly constant. |
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