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OVERQUALIFICATION as an indicator of

labor market integration of highly educated immigrants:

findings from the Labour Force Survey in Belgium Johan.Geets@ua.ac.be

Policy Research Centre on Equal Opportunities Arbeidsmarktcongres Steunpunt WSE

Voorbij de crisis? Over jongeren en de uitdagingen voor de arbeidsmarkt van morgen

25/11/2010 Promotors:

Prof. C. Timmerman & Prof. D. Mortelmans

(2)

Labor market integration of highly educated immigrants

• Why?

– Increase

– Problematic ‘human capital transfer’

(Chiswick ea., 2003)

‘jobmismatch’ & ‘overqualification’

• Vulnerable groups 'jobmismatch'

• Conceptualisation

• Consequences of mismatch

(3)

Percentage of foreign-born labour force and of the native-

born labour force aged 25-34 and 25-64 with a tertiary

qualification; 2005 (OECD)

(4)

Increase

Table: Level of education of the labour force (15-64 years old) by nationality (group) and length of stay, average for 2007 and 2008, Belgium

Low

(%) Intermediate

(%) High

(%)

Belgian natives (85%) 32 39 29

Belgian non-natives (6%) 45 31 24

EU-15 (excl. Bel.) (6%) 37 33 30

EU + 12 (0,6%) 35 38 27

Turks (0,4%) 74 20 6

Moroccans (0,8%) 65 23 12

Other OECD (0,2%) 12 14 74

Other non-OECD ( 1,6%) 46 30 24

Total (100%) 34 38 28

< 10 years (7%) 40 30 30

≥ 10 years (6%) 47 30 23

Source: ADSEI (LFS)

(5)

Increase

Table: Level of education of the labour force (15-64 years old) by nationality (group) and length of stay, average for 2007 and 2008, Brussels-Capital Region

Low

(%) Intermediate

(%) High

(%)

Belgian natives (53%) 32 30 38

Belgian non-natives (18%) 47 28 25

EU-15 (excl. Bel.) (14%) 28 23 49

EU + 12 (3%) 31 41 28 Turks (1,3%) 72 18 10

Moroccans (4,3%) 67 22 11

Other OECD (0,6%) 8 8 84

Other non-OECD (5,6%) 41 31 28

Total (100%) 37 28 35

< 10 years (23%) 36 27 37

≥ 10 years (21%) 47 26 27

Source: ADSEI (LFS)

(6)

Labor market integration of highly educated immigrants

• Why?

– Increase

– Problematic ‘human capital transfer’

(Chiswick ea., 2003)

 ‘jobmismatch’ & ‘overqualification’

(7)

Problematic ‘human capital transfer’

1. Micro-level

• Residence status

– Temporary / Permanent

• Inactivity

• Knowledge of Dutch

• Financial obligation toward family members in country of origin (cf. Rettab, 1995)

2. Meso & macro-level

• Recognition of Foreign Qualifications/Competences

– Labor: Experience Certificate

– Education: homologation of foreign degree

• Language & vocational training

• Labor market characteristics

– Flexibility and rigidity – Bottleneck Professions

• Differences between countries

Hypothesis : ‘jobmismatch’ & 'overqualification'

(8)

Residence status

Asylum seekers Refugees Undocumented

Family reunification

VM AZ VL R

Students Tourists

Regularized

(9)

Problematic ‘human capital transfer’

1. Micro-level

• Residence status

– Temporary / Permanent

• Labor market position of the highly skilled immigrants :

– Employment rate </ length of unemployment > / temporary contract > / full time

> / laborer >

– Gender difference:

» Inactivity high skilled immigrants ( : 29% - : 12%)

» Working high skilled immigrants ( : 64% - : 80%)

• Knowledge of Dutch

• Financial obligation toward family members in country of origin (cf. Rettab, 1995)

2. Meso & macro-level

• Recognition of Foreign Qualifications/Competences

– Labor: Experience Certificate

– Education: homologation of foreign degree

• Language & vocational training

• Labor market characteristics

– Flexibility and rigidity – Bottleneck Professions

• Differences between countries

Hypothesis : ‘jobmismatch’ & 'overqualification'

(10)

Problematic ‘human capital transfer’

Table: Employment rate according the level of education of the labour force (15-64 years old) by nationality (group) and length of stay, average for 2001 - 2005, Belgium

Low

% Intermediate

% High

%

Belgian natives 43 66 85

Belgian non-natives 35 57 76

EU 43 63 80

Turcs/Moroccans 23 38 51

Other 30 39 52

Total (without Belgian natives)

< 10 years 34 47 66

≥10 years 35 58 77

Always 42 62 80

Source: ADSEI (LFS)

(11)

Problematic ‘human capital transfer’

1. Micro-level

• Residence status

– Temporary / Permanent

• Inactivity

• Knowledge of Dutch

• Financial obligation toward family members in country of origin 2. Meso & macro-level

• Recognition of Foreign Qualifications/Competences

– Labor: Experience Certificate

– Education: homologation of foreign degree

• Language & vocational training

• Labor market characteristics

– Flexibility and rigidity – Bottleneck Professions

• Differences between countries

Hypothesis : ‘jobmismatch’ & 'overqualification'

(12)

Labor market integration of highly educated immigrants

• Why?

• Vulnerable groups 'jobmismatch'

– school leavers – women

– highly skilled

– ethnic minorities & especially immigrants – Fundamental debates:

– Return on investment

– discrimination ↔ skill deficit – Labour integration

– Labour migration

• Conceptualisation

• Consequences of mismatch

(13)

Conceptualisation: 'overqualification'

• Alignment Study - Work :

– two types of mismatch: vertical &

horizontal (ex. philosophy – ICT)

– interaction

• Methods of measurement of mismatch

– Objective method: alignment jobexperts

– Statistical method: # years training required

– Subjective method

(14)

Conceptualization: 'overqualification'

• Empirical methods of measurement compared (Verhaest, 2006)

Table: The proportion of over- and under-skilled in the first job on the basis of six alternative methods (Flemish Region) (Source: Verhaest, 2006)

Subject. 1 Subject. 2 Subject. 3 Objectiv. Statist. 1 Statist. 2

Over-skilled 26,4 29,5 39,2 50,6 7,9 11,6

Adequately skilled

68,7 62,3 57,4 41,4 78,0 67,9

Under-skilled 4,9 8,2 3,4 8,0 14,1 20,5

(15)

Labor market integration of highly educated immigrants

•Why?

•Vulnerable groups 'jobmismatch'

•Consequences of mismatch

– < Job satisfaction, > jobturnover, < wages – Temporary or permanent? Trap versus bridge

hypothesis

– Labor market characteristics: flexible – rigid

 differences between countries

(16)

Differences between countries

OECD-model ‘overqualification’

SCHOOLLEVEL JOBLEVEL

High ‘Skilled’ of ‘highly skilled’

Intermediate ‘Intermediate’

Low ‘Low-skilled’

(17)

Differences between countries

Overqualification degree 'native' versus 'foreign-born' 2003-2004 (Bron: Eurostat in OECD, 2007)

België

Nieuw-Zeeland

Polen

Griekenland

Italië

Luxemburg

Slovakije

0 5 10 15 20 25 30 35 40 45

0 5 10 15 20 25 30

Native born

Foreign born

Australië Oostenrijk België Canada Tsjechië Denemarken Finland Frankrijk Duitsland Griekenland Hongarije Ierland Italië

Luxemburg Nederland

Nieuw-Zeeland Noorwegen Polen Portugal Slovakije Zweden Zwitserland UK VS

(18)

Differences between countries

• In general :

– Women> men

– immigrants> native population

BUT ... Variation depending on migration-, integration- & welfare regime, etc.

• New Zealand :

– Overqualification degree ‘foreign born’ < ‘natives’

 Migration regime

• Canada:

– Overqualification degree for foreign born & natives very high difference between them is small

 education regime (schooling inflation)

• Luxembourg :

– Overqualification degree very low for both – Lower for women than men

Greece :

– Highest for immigrant women (53%)

(19)

Differences between countries

Overqualification degree according length of stay, 2003 - 2004 (Source: Eurostat in OECD, 2007)

België

Italië Italië

Nederland Griekenland

0 5 10 15 20 25 30 35 40 45

3 year ?5 year ?10 year ?11 year Natives'

Length of stay

%

0 5 10 15 20 25 30 35 40 45 50

Oostenrijk België Tsjechië Denemarken Frankrijk Duitsland Ierland Italië

Luxemburg Nederland Noorwegen Zweden UK VS

Griekenland

(20)

Jobmatch

Table: Jobmatch of the workforce (15 - 64 years) by ethnic origin and residence time, Belgium (2007 & 2008)

Overqual.

(%) Adequate

(%) Underqual.

(%)

Belgian natives 12 60 28

Belgian non-natives 15 54 31

EU-15 (excl. Bel.) 12 56 32

EU + 12 20 49 31

Turks / Moroccans 19 48 33

Other OECD 19 72 9

Other non-OECD 25 46 29

Total

< 10 years (7%) 18 55 27

≥ 10 years (6%) 12 54 34

Highly qualified

&

< 10 years (6%)

31 69 -

Highly qualified

&

≥ 10 years (5%)

24 76 -

Source: ADSEI (LFS)

(21)

Jobmatch

Table: Jobmatch of the highly skilled workforce (15 - 64 years) by ethnic origin / nationality, Belgium (2007 & 2008)

Overqual.

(%) Adequate

(%) Underqual.

(%)

Belgian natives 22 78 -

Belgian non-natives 28 72 -

EU-15 (excl. Bel.) 22 78 -

EU + 12 28 72 -

Turks / Moroccans 62 38 -

Other OECD 22 78 -

Other non-OECD 57 44 -

Total 23 78 -

< 10 years (7%) 18 55 27

≥ 10 years (6%) 12 54 34

Highly qualified

&

< 10 years (6%)

31 69 -

Highly qualified

&

≥ 10 years (5%)

24 76 -

Source: ADSEI (LFS)

(22)

Multivariate analyses LFS 2007 & 2008

• Hypotheses ‘overqualification risk’ :

-Background variables:

- Women > men

- Women + children > men +children (Statistical discrimination theory) - Householdposition: > single parents

- Age: ↓ (jobshift cfr. Human Capital theory) - Length of stay: ↓ (proxy of ‘Human Capital’) - Nationality: non OECD ↔ OECD

- Education variables

- Level: academic < professional (cfr. Signal theory: displacement) - Area : broad > professional oriented (ex. ICT, medical)

- Additional training: ? (compliment or substitute)

-Employment variables

- Seniority: ↓ (cfr. Human Capital theory ↔ Segmentation theory) - Contract: temporary > regular

- Work regime: part-time > full-time (cfr. Signal theory) - Sector: public < private (cfr. Credential theory)

- Number of employees: ↓ (internal mobility) - Supervision: ↑

(23)

Multivariate analyses LFS 2007

& 2008

•Results highly educated labor force & immigrated highly educated labor force

-Background variables:

- Women > men:

ns / ns

-Interaction sex + length of stay:

sig. / sig. native Belgian male < male oldcomers < male newcomers < native Belgian women < female oldcomers < female newcomers

-Women + children > men +children:

ns / ns (nevertheless: < employment odds / > odds longterm unemployment / > odds part-time work)

- Householdposition:

> single parents: ns / ns (nevertheless: > odds longterm unemployment )

-Age: ↓ (jobshift cfr. HC)

sig. ↑ /ns

-Nationality:

OECD: ns / ns; non-OECD + Turks: sig. > / sig. >

-Schoolleaver:

↑ ns/ns

-Education variables

-Level:

academic < professional (cfr. Signal theory: displacement): sig. / sig.

-Area :

broad > professional oriented (ex. ICT, medical) sig. / sig.

-Additional training :

? (compliment or substitute) sig. < / sig. <

(24)

Multivariate analyses LFS 2007 &

2008

- Employment variables

- Seniority:

↓ sig. /sig.

- Contract: temporary > regular

ns/ ns

- Work regime: part-time > full-time

sig. / sig.

- Sector:

- public < private (cfr. Credential theory): sig. /sig.

- Financial sector : sig. > /sig. > (cfr. Internal Job Market Theory ‘efficiency wages’)

- Number of employees:

↓ sig. /ns

-

Supervision:

↑ sig. / sig.

- R²

-

Total 32% - 39 %

-

Schooling: 19% - 21% (mainly area & level)

-

Employment: 13% - 18% (mainly sector & professional statute)

 Theoretical framing

H 0 : Human Capital Theory: ═ human capital (education)  ═ overqualification risk (BUT limits LFS: unmeasured capital, no productivity indicators, wages … )

H 0 : Segmentation Theory : ═ segment  ═ overqualification risk (BUT limits

LFS : no mobility indicators … )

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