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Double Jeopardy: How Refugees Fare in One European Labor Market Cover

Double Jeopardy: How Refugees Fare in One European Labor Market

By: ,   and    
Open Access
|Nov 2019

Figures & Tables

Figure 1

Number of registered immigrations and asylum seekers (first application) in Belgium, 1985–2016.

Source: Eurostat between 1985 and 1995, Immigration Office-National Register (calculations N. Perrin) between 1996 and 2007 and Immigration Office-Eurostat between 2008 and 2016. Note: This paper focuses on the 1999–2009 entry cohort (indicated by the black frame in the figure).

Table 1

Characteristics of refugees, other migrants and natives

RefugeesFamily migrantsLabor migrantsNative-born
Sex
Female43.565.838.249.2
Male56.534.261.850.8
Age at arrival (mean)29.630.131.6
Highest level of education
Low52.444.528.527.3
Medium28.929.832.237.5
High18.725.739.335.2
Region of residence
Brussels23.633.640.55.7
Flanders53.443.041.462.5
Wallonia23.023.418.031.8
Region of origin
EU1.525.775.8
Europe non-EU30.67.43.0
Turkey and North Africa7.239.29.4
Sub-Saharan Africa33.410.45.0
Asia26.711.74.2
USA0.65.52.6
Year of arrival
19996.13.65.6
20003.94.86.7
20015.66.26.8
200212.67.88.3
20039.89.89.0
200412.412.910.5
200514.115.613.7
200611.214.813.7
200714.712.812.0
20086.88.88.3
20092.82.95.4
Survey year
200811.712.412.820.2
200914.416.616.420.2
201019.220.620.320.2
201124.525.825.219.9
201230.224.625.419.5
N4014,3833,38720,920

[i] Source: BLFS-LM&SP, own calculations.

Note: Results are weighted using the available weighting variable in the BLFS, which adds weights for gender, age and region of residence.

Figure 2

Quarterly distribution of socioeconomic positions by time since arrival, refugees.

Source: BLFS-LM&SP, own calculations.

Figure 3

Quarterly distribution of socioeconomic positions by time since arrival, family migrants.

Source: BLFS-LM&SP, own calculations.

Figure 4

Quarterly distribution of socioeconomic positions by time since arrival, labor migrants.

Source: BLFS-LM&SP, own calculations.

Table 2

Odds ratios – exit out of first employment spell

(1)(2)
Constant0.02***0.03***
Specification of hazard
Linear specification of time0.94***0.92***
Natural logarithm of time1.37***1.47***
Comparison group (labor is ref. category)
Family0.39***0.33***
Refugee0.34***0.14***
Family*time linear1.02***
Refugee*time linear1.09***
Sex (female is ref. category)
Male1.95***1.96***
Age at arrival
Age1.11***1.10***
Age squared1.00***1.00***
Highest level of education (low is ref. category)
Medium1.15***1.14***
High1.11**1.12**
Region of residence (Brussels is ref. category)
Flanders1.021.04
Wallonia0.90**0.89**
Region of origin (EU is ref. category)
Europe non-EU0.74***0.71***
Turkey and North Africa0.74***0.75***
Sub-Saharan Africa0.89*0.90*
Asia0.70***0.71***
America0.940.93
N8,1718,171

[i] Source: BLFS-LM&SP, own calculations.

Notes: Year of arrival (10 dummies) and survey year (4 dummies) are controlled for. Results are weighted using the available weighting variable in the BLFS, which adds weights for gender, age and region of residence. ***p < 0.001, **p < 0.01, *p < 0.05.

Table 3

Odds ratios – exit out of first employment spell

(1)
ALL
(2)
UNEMP
(3)
SA
(4)
Other
Constant0.780.04***0.02*0.82
Specification of hazard
Linear specification of time1.02***0.94***0.971.03***
Natural logarithm of time0.47***1.32*0.34***0.40***
Comparison group (labor is ref. category)
Family1.40***1.36**0.841.47***
Refugee1.77***3.15***5.03***0.72*
Sex (female is ref. category)
Male0.83***0.85*1.100.81**
Age at arrival
Age0.92***0.950.940.90***
Age squared1.00**1.001.001.00**
Highest level of education
(low is ref. category)
Medium0.82***0.75**0.70*0.86**
High0.68***0.49***0.43***0.78***
Region of residence
(Brussels is ref. category)
Flanders1.10*0.950.78*1.18**
Wallonia1.14**1.45***1.38*1.04
Region of origin (EU is ref. category)
Europe non-EU1.40***1.72**3.40***1.29*
Turkey and North Africa1.74***3.00***3.51***1.40***
Sub-Saharan Africa1.97***1.95***7.47***1.70***
Asia1.48***0.875.04***1.48***
America1.030.571.611.11
N6,3056,3056,3056,305

[i] Source: BLFS-LM&SP, own calculations.

Notes: Year of arrival (10 dummies) and survey year (4 dummies) are controlled for. Results are weighted using the available weighting variable in the BLFS, which adds weights for gender, age and region of residence. ***p < 0.001, **p < 0.01, *p < 0.05.

Figure 1A

Quarterly distribution of socioeconomic positions by calendar year, native-born.

Source: BLFS-LM&SP, own calculations. Note: The break in the data from Q1 2003 onward is due to the fact that information on social assistance, child allowances, incapacity-to-work and invalidity benefits, occupational diseases and some pensions was only then integrated in the LM&SP.

Figure 2A

Share of migrants (per migration motive) and native-born who are receiving invalidity and incapacity-to-work benefits by calendar year.

Source: BLFS-LM&SP, own calculations.

Table 1A

Overview of the work regimes in place for asylum seekers in Belgium, 1999–2014

PeriodWork regime (in general)
January 1, 1999–March 31, 2003Asylum seekers can work with work permit B
April 1, 2003–May 31, 2007Admissible asylum seekers can work with work permit C
June 1, 2007–January 11, 2010Asylum seekers can work if no negative decision 6 months after asylum application with work permit C
January 12, 2011–December 31, 2014Asylum seekers can work if no negative decision 6 months after asylum application with work permit C, but asylum seekers who work need to contribute to the cost of the reception center
Asylum seekers who have substantially secure income from employment need to leave the reception center

[i] Source: Authors.

Table 2A

Odds ratios – entry into the first employment spell (robustness checks)

(1)
Refugee
ad hoc
(2)
Non-EU
origin
(3)
Home country
education
(4)
Entry cohort
2003–2009
(Labor = ref. category)
Family0.34***0.46***0.31***0.29***
Refugee0.26***0.17***0.013***0.11***
Family*time1.021.001.03***1.04***
Refugee*time1.07**1.07***1.10***1.12***
N4584,3487,6716,451

[i] Source: BLFS-LM&SP, own calculations.

Notes: Sex, age at arrival, highest educational degree, region of residence, region of origin, year of arrival, survey year and duration in quarters elapsed since arrival are controlled for. Results are weighted using the available weighting variable in the BLFS, which adds weights for gender, age and region of residence. ***p < 0.001, **p < 0.01, *p < 0.05.

Table 3A

Odds ratios – job characteristics (models A, B and C) and OLS estimates – log earnings (model D)

(1)
Low skill job
(2)
Over qualification
(3)
Bad job
(4)
Ln (earn)
(Native-born = ref. category)
Labor1.81***1.86***0.98-0.17***
Family4.45***5.58***2.03***-0.56***
Refugee4.65***7.61***2.38**-0.85***
N22,83518,19222,98314,776

[i] Source: BLFS-LM&SP, own calculations.

Notes: Sex, age, highest educational degree, region of residence and survey year are controlled for. Results are weighted using the available weighting variable in the BLFS, which adds weights for gender, age and region of residence. ***p < 0.001, **p < 0.01, *p < 0.05.

Language: English
Published on: Nov 16, 2019
Published by: Sciendo
In partnership with: Paradigm Publishing Services
JEL:

© 2019 Dries Lens, Ive Marx, Sunčica Vujić, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 License.