Furlong 2006
Furlong 2006
                 ABSTRACT
                 Concern with youth unemployment has been replaced with a focus on those not
                 in education, in employment, or in training (NEET). With current levels of youth
                 unemployment low, this emphasis helps remind us that an increase in employment
                 levels is not necessarily accompanied by a reduction in vulnerability. While NEET
                 can be used as a concept for representing problematic transitions, it is an ill-
                 considered concept that places an undue and often misleading emphasis on vol-
                 untarism. Drawing on the Scottish School Leavers Survey, the article explores the
                 policy implications of different definitions of NEET, highlights its prevalence, and
                 examines the characteristics of those who are NEET. It is argued that to represent
                 vulnerable youth effectively we must either use a set of definitions that are nar-
                 rower than that represented by NEET, or adopt a much broader definition that
                 provides a basis for more far-reaching interventions.
                 KEY WORDS
                 disadvantage / early school-leavers / labour market transitions / NEET / youth
                 unemployment
Introduction
          I
             n the late 1980s youth unemployment ceased to exist in the UK. Or rather,
             official recognition of youth unemployment was withdrawn in 1988 as
             changes in the UK benefit regime left most under 18 year-olds without access
          to unemployment benefits and limited the entitlements of those under the age
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The sample
          The Scottish School Leavers Survey (SSLS) has been conducted on a regular
          basis (usually every two years) since the late 1970s (for a period of time it was
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Defining NEET
            In the UK, the focus on NEET can be linked directly to changes in benefit
            regimes that were being implemented in the late 1980s. With eligibility to
            unemployment benefits removed for under 18 year-olds, a new label was needed
            to identify those who had neither remained in full-time education nor found
            employment or a training place; Status Zer0 started to be used as an alternative
            way of identifying those who were experiencing difficult transitions. However,
            the negative connotations of Status Zer0 provoked a hostile reaction from
            Government circles where attempts were being made to draw attention away
            from the youth benefits agenda and to stress personal responsibility. In Bridging
            the Gap (SEU, 1999) the term NEET was firmly established as the only accept-
            able form of language to be used in referring to workless youth. Indeed, while
            Bridging the Gap referred to findings from the study by Armstrong and col-
            leagues (1997), Status 0: A Socio-Economic Study of Young People on the
            Margin, the reference provided in the report was truncated with only the sub-
            title used so as to avoid any mention of the term Status 0.2
                  A persistent source of confusion in the use of the term NEET relates to the
            ages covered. Status Zer0 was explicitly used to refer to 16 and 17 year-olds
            who were ineligible for unemployment benefits but who were eligible for youth
            training programmes. NEET includes 18 year-olds even though this effectively
            merges groups covered by distinct policies: 16 and 17 year-olds by Skillseekers,
            18 year-olds by the New Deal for Young People.
067001 Furlong   14/8/06    9:09 am     Page 557
            now defined in a range of different ways and it has become almost impossible
            to compare analyses. In fact, individual researchers have frequently developed
            broad and narrow definitions of NEET and rather than being able to quote the
            percentage of young people who are NEET at a particular time or in a specific
            place, researchers have started to speak in terms of statistical ranges.
                  Estimates of the size of NEET are partly dependent on the age group in
            question and partly accounted for by the state of the local labour market.
            Researchers have used both static measures of NEET (the proportion who are
            NEET at a point in time) and cumulative measures (those who are NEET at any
            point within a given timespan or for a minimum period over timespan) and
            have defined membership in different ways. For Istance and colleagues (1994)
            Status Zer0 was a residual category that they measured using both cross-
            sectional and dynamic approaches. At any one point in time, they estimated
            that between 16 and 23 percent of 16–17 year-olds in South Glamorgan fell
            into the Status Zer0 category. Istance and colleagues recognized that it would
            be misleading to regard Status Zer0 as a homogenous group given that the pro-
            files of members varied significantly and while for some membership was fleet-
            ing, others spent long periods of time outside education and the labour market.
                  Following the work of Istance and colleagues (1994) in South Wales, a
            study of Status Zer0 was undertaken in Northern Ireland. Based on secondary
            analysis of official statistics, as well as a follow-up survey of a cohort of
            school-leavers drawn from Careers Office records, Armstrong and colleagues
            (1997) also used a static and dynamic approach to the quantification of Status
            Zer0. Analysis of official statistics showed that at any one time between 4 and
            6 percent of 16 year-olds could be classed as Status Zer0. Cohort data showed
            a small increase in the size of Status Zer0 over a two-year period and high-
            lighted large inflows each year in June and July and large outflows in August
            and September. The data also showed that it was comparatively rare for young
            people to encounter multiple spells of Status Zer0, but that around a third of
            those who entered Status Zer0 remained in that status for a period of six
            months or more.
                  In an analysis of NEET in Scotland using earlier SSLS cohorts, Croxford
            and Raffe (2000) showed that during the three years following the end of com-
            pulsory schooling the numbers of young people who were NEET varied
            between 5 and 16 percent. Over the three post-school years studied, 31 percent
            were classified as NEET on at least one of the six time points at which infor-
            mation was collected.4 In Croxford and Raffe’s analysis, the proportion of
            young people who were NEET was relatively low in the year after the end of
            post-compulsory schooling (between 3 and 11% for the cohorts studied) but
            had increased by the end of the second post-compulsory year. The skew
            towards the older end of the age group is a consequence of high levels of post-
            compulsory educational retention.
                  Croxford and Raffe made a distinction between what they referred to as
            the ‘broad’ and ‘narrow’ definitions of NEET. The broad definition encom-
            passes two sub-groups; those taking a long holiday, doing voluntary work or
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          working part time (the more advantaged group who may be able to exercise
          choice) and those who were unemployed, sick or disabled or looking after chil-
          dren or family. Using the narrow definition, the proportion who had been
          NEET at one point in time ranged from 4 to 12 percent while one in five (20%)
          had been NEET at some point in time.
               While using the term ‘off-register’ rather than NEET, Bentley and
          Gurumurthy (1999) attempted to measure prevalence using the Labour Force
          Survey and the England and Wales Youth Cohort Survey. Here the numbers of
          16 and 17 year-olds ‘off-register’ was estimated at around one in 10, although
          the long-term sick and disabled were excluded. Bentley and Gurumurthy also
          drew attention to 18 to 24 year-olds who were off register, of whom around one
          in four were described as the ‘hidden unemployed’. Although the majority of
          the ‘hidden unemployed’ were actively seeking work and conformed to the ILO
          definition of unemployed, many were not signing on because they were ineligi-
          ble for benefits.
               Bynner and Parsons (2002) took rather a different approach to the mea-
          surement of the prevalence. Using the 1970 British Birth Cohort, Bynner and
          Parsons regarded NEET as a concept that must ‘reflect the dynamics of young
          people’s lives’ (p. 297) and therefore requires longitudinal analysis. Because the
          prime interest in NEET relates to a need to identify patterns of disengagement,
          Bynner and Parsons used a definition that required those classified as NEET to
          have been outside of education, employment and training for at least six
          months between the ages of 16 and 18. As such, it is not comparable to the def-
          inition used by Croxford and Raffe or Bentley and Gurumurthy but is similar
          to one of the NEET typologies highlighted by Armstrong and colleagues in
          Northern Ireland. The dynamic approach is more in tune with theoretical per-
          spectives on youth transitions that stress complexity and non-linearity (Furlong
          et al., 2003) and can help distinguish those in danger of marginalization from
          those exercising lifestyle choices or exploring career options.
          While each of the researchers highlights the merits of their own approach, the
          end result is confused research and confused policy making. The ways in which
          NEET is defined will directly affect the numbers of young people who are
          regarded as vulnerable, but the implications of competing definitions are rarely
          made explicit. A longitudinal approach such as that used by Bynner and
          Parsons (2002) will provide us with information on a relatively small group
          with deeply entrenched vulnerabilities whereas a ‘snapshot’ approach may
          reveal a much larger group, some of whom are active in the shaping of their
          transitions or deliberately taking time out to pursue other interests or priorities.
          In this section we use data from the SSLS first of all to highlight the relative size
          of the various NEET sub-groups and, second, to explore some of the implica-
          tions for prevalence of a range of possible definitions.
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                 The number of young people responding to the SSLS who can be catego-
            rized as NEET is obviously dependent on the way in which the concept is
            defined and the questions that are used to derive the variable. Using a question
            on main current activity (What are you doing now?) and defining NEET as
            those responding that they were out of work and looking for a job, looking
            after children or family members, on unpaid holiday or travelling, sick or dis-
            abled, doing voluntary work or engaged in another, unspecified, activity, 10
            percent of males and 9 percent of females were defined as NEET (static defini-
            tion) (unweighted n = 363). With part-time working frequently being com-
            bined with other activities such as education, part-time workers were not
            defined as NEET.
                 Those who were currently NEET were asked about the factors that were
            associated with their non-participation in education, employment or training
            (Figure 1). The main reasons given related to a perceived lack of suitable oppor-
            tunities or to qualification deficits. More than half of the males (56%) and more
            than four in 10 females (45%) said that they had not managed to find a suit-
            able job or course, while slightly fewer said that they had not decided on the
            sort of job or course they wanted to do or that they did not think there were
            any decent jobs or courses available where they lived. Nearly four in 10 thought
            that they needed to enhance their education or skills in order to get a job, edu-
            cation or training place. Young people were also constrained by a variety of per-
            sonal and circumstantial issues, from family and housing problems, to health
            and lack of transport. Personal and circumstantial issues posed a greater con-
            straint on females. Relatively few young people were taking a break from study.
                 The majority of young people defined as NEET were out of work and look-
            ing for a job (conforming to the ILO definition of unemployment where respon-
            dents had been actively searching and available during the last four weeks)
            (Table 1). Unemployment accounted for the activities of more than eight in 10
            males and six in 10 females who were NEET. Almost one in five females, but
            virtually no males, who were NEET were caring for children or family and rel-
            atively small proportions of both genders were on unpaid holiday or taking a
            ‘gap’ year. Very few young people were undertaking voluntary work as a main
            activity, but 5 percent of females and 2 percent of male NEETs were sick or dis-
            abled. A significant number were engaged in other, unspecified, activities.
                 Estimates of NEET can also be derived from a ‘diary’ question in which
            respondents were asked retrospectively for details of main status on a monthly
            basis between July 2002 and October 2003.5 Figure 2 maps changes in the pro-
            portion of young people who were NEET across the time period covered (out
            of work and looking for a job, looking after home or family, on holiday or trav-
            elling or doing something else). The increase in NEET during summer vacations
            highlights one of the inadequacies of ‘snapshot’ definitions where those who are
            temporarily between statuses can be classified as NEET. Using the diary, 26 per-
            cent were NEET in July 2002 and 27 percent NEET in July 2003, yet during
            the months September to May the proportion who are NEET ranges from 4
            percent to 9 percent.
                                                                                                                                                       067001 Furlong
                                                                 Other
                          Have not found a suitable job or course
                                                                                                                                                       14/8/06
                                                                           0     10   20   30   40   50        60
Figure 1    Reasons for currently being NEET
Unweighted n=363
Note: percentages exceed 100 as respondents could provide more than one answer
                                                                                                                    Not a very NEET solution Furlong
                                                                                                                    561
067001 Furlong    14/8/06         9:09 am      Page 562
                The diary can also be used to quantify the numbers of young people who
            were NEET at any time during the 16-month period that was covered. With
            information on more time periods than has been collected in recent SSLS
            cohorts studies (monthly as compared to every six months) but collected over
            a shorter time period (16 months as compared to three years), the figures are
            not comparable to those presented by Croxford and Raffe. Using the diary
                  100%
                                                                                           Training
                                                                                             Job
                   80%
Education
60%
40%
                   20%
                                                                                            NEET
                      0%
                           Jul. Aug. Sep. Oct.Nov.Dec. Jan. Feb. Mar. Apr. May Jun. Jul. Aug. Sep. Oct.
            Figure 2       Monthly status changes between July 2002 and October 2002
067001 Furlong      14/8/06     9:09 am       Page 563
Males Females
          we find that 36 percent of males and females were NEET in at least one of the
          16 months.
              An alternative and powerful conceptualization of NEET, which attempts to
          capture disengagement, is one that measures long-term experience of NEET.
          This is a variant on the model used by Bynner and Parsons (which they based
          on a total of six months or more NEET in a period of two years). The defini-
          tion we adopt here is based on six or more months continuous experience of
          NEET. This period of time (which for 18 year-olds is used as the qualifying
          period for the New Deal for Young People) suggests that a young person may
          be facing difficulties. Using this model, 8 percent of males and 6 percent of
          females qualify as NEET (unweighted n = 285).
              The estimates of NEET in the SSLS using the different definitions described
          above are summarized in Table 2 above.
Characteristics of NEET
                     5+ SG@ 1–2
                                                                                                                                                        14/8/06
Mum degree
                       Dad degree
                                                                                                                                                        9:09 am
                    Owner occup.
                                                                                                                                                        Page 564
                                 SIP
                                                                                                                         ■
Mum unemp.
                       Dad unemp.
                                                                                                               Number 3  ■
                                       0           10            20   30   40   50   60       70          80
                                                                                                               September 2006
Unweighted n 6 months NEET = 265, NEET now = 363, Never NEET = 3324
067001 Furlong   14/8/06    9:09 am     Page 565
          parents were also more likely to own their own home, although were as likely
          as those who had experienced NEET continuously for six or more months to
          reside in a Social Inclusion Partnership (SIP) area. Differences between those
          who had experienced NEET for six or more months continuously and those
          who were NEET at the time of the survey were minimal. We suggest that in the
          autumn there are higher proportions of long-term NEET within the category
          than at many other times of the year (those who were NEET at the time of the
          survey will have failed to secure entrance to education during the usual
          September intake and may have been passed over in the similarly timed recruit-
          ment round for traineeships). As such, static definitions of NEET will encom-
          pass different groups of young people depending on the time of year in which
          information is collected.
          There are two main arguments that can be used to defend NEET as a concept
          and as a focus of policy. The first argument relates to the effectiveness of NEET
          in predicting future vulnerability and in drawing attention to a group who
          might have different needs but who, at the present time, are highly likely to be
          unemployed regularly or persistently or to be outwith the active labour market
          at various points in the short- to medium-term future. In Bridging the Gap
          (SEU, 1999) it was argued that of those who were NEET at age 16, around 40
          percent would be NEET at age 18. NEET among 16–18 year-olds was a major
          predictor of unemployment at age 21. Similarly, figures from the British Birth
          Cohort Study (BCS70) showed that being NEET continuously for six months
          between the ages of 16 and 18 ‘is the single most powerful predictor of unem-
          ployment at age 21’ (SEU, 1999). The term NEET therefore draws attention to
          the multi-faceted nature of disadvantage.
               The second, related argument concerns to the finding that those who
          were never NEET at the ages of 16–17 are less disadvantaged than those who
          were NEET for six months or more or those NEET when surveyed. In
          England, Bentley and Gurumurthy (1999) show that 43 percent of those who
          were ‘off-register’ at 16–17 came from workless families and significant num-
          bers had a record of truancy, had dropped out of school or government train-
          ing programmes and had few educational attainments (also Coles et al., 2002;
          SEU, 1999). In other words, while there may be some heterogeneity in the
          NEET population and while sub-groups like the unemployed, the long-term
          sick and disabled and single mothers may have very different needs, the
          Government is right to set targets to reduce the overall level of NEET as long
          as it employs a range of different initiatives. In this context, Connexions may
          be justified as a vehicle for identifying the diverse needs of the sub-popula-
          tions, for tracking their progress and identifying effective routes into educa-
          tion, work or training. In other words, while the heterogeneity of NEET
          might not facilitate the effective targeting of policies, the individualized focus
067001 Furlong   14/8/06    9:09 am    Page 566
          targets to reduce NEET, they have little incentive to concern themselves with
          those successfully holding down a series of insecure jobs. Indeed, there is pres-
          sure to place people in any job (no matter how precarious) or to find them train-
          ing places, irrespective of suitability or personal aspirations.
               In the context of a political economy of insecurity, a broadly focused set of
          policies would encompass all of those in precarious positions or lacking
          advanced skills, irrespective of whether they were currently NEET or in
          employment or training. The growth of the precarious sector of the labour mar-
          ket and the increase in temporary and casual forms of employment perhaps
          challenges the traditional focus on unemployment as the measure par excellence
          of labour market disadvantage. In its place there is a need to introduce new
          ways of capturing vulnerability that go beyond NEET. As it stands, one narrow
          and outdated concept (unemployment) has now been replaced with another
          inadequate category (NEET) which fails to provide an imaginative basis for
          policies towards vulnerable youth. To lay the foundation for a more imagina-
          tive approach towards labour policy it is necessary to recognize the patchwork
          of experiences of today’s youth. This must involve an acknowledgement that
          vulnerability is not simply a consequence of personal deficits and an apprecia-
          tion of the extent to which patterns of labour demand in the new economy are
          failing to provide the opportunities for long-term security for large numbers of
          young people. Only then can we start to address the welfare and training needs
          of new members of the modern labour force.
Acknowledgements
          The Scottish School Leavers Surveys are funded by the Scottish Executive, I would
          like to acknowledge their support as well as that of my colleagues who have con-
          tributed to the conduct and analysis of the surveys: at the Scottish Centre for Social
          Research, Simon Anderson, Kirsty Deacon, Lisa Given and Kersten Hinds; at
          Glasgow University, Fred Cartmel; and at Queens University, Belfast, Andy Biggart.
Notes
          1      Separate targets have been set by the Westminster Government for England and
                 Wales and the Scottish Executive for Scotland.
          2      This observation was brought to my attention by Andy Biggart.
          3      In England and Wales official statistics based on Labour Force Survey yearly
                 averages estimate NEET at around 9 percent, in Scotland it is around 14 per-
                 cent. There are wide regional differences in NEET: recent figures estimate
                 NEET in East Anglia at 7 percent while in the North East it is 17 percent (Coles
                 et al., 2002).
          4      Those young people who were NEET between time points are not included in
                 the cumulative total and therefore these figures are also underestimated.
067001 Furlong   14/8/06    9:09 am     Page 568
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Andy Furlong