Table 3. Immigrants in the labor market of West European countries: Exponents of coefficients [95% confidence interval] from multinomial regressions predicting odds for being unemployed/out of the labor force (versus employed), men.

Data Source: EU Labour Force Survey, 2008 (for UK, France, Belgium and Sweden); European Social Survey, 2002–2010 (for Europe).

	UK1		FRANCE1		BELGIUM1		SWEDEN1		EUROPE2
	UNEM	OUT	UNEM	OUT	UNEM	OUT	UNEM	OUT	UNEM	OUT
High Education3	.57* [.5, .7]	.78* [.7, .9]	.68* [.6, .8]	.64* [.6, .7]	.56* [.4, .7]	.49* [.4, .6]	.94 [.7, 1.2]	.70* [.6, .8]	—	—
Low Education3	1.82* [1.6, 2.1]	2.29* [2.1, 2.5]	1.91* [1.6, 2.2]	1.72* [1.5, 1.9]	1.82* [1.4, 2.3]	1.90* [1.6, 2.2]	1.92* [1.6, 2.3]	1.91* [1.7, 2.1]	—	—
Education in years	—	—	—	—	—	—	—	—	.91* [.89, .92]	.96* [.94, .96]
Married	.31* [.3, .4]	.40* [.3, .4]	.41* [.3, .5]	.60* [.5, .7]	.35* [.3, .4]	.46* [.4, .5]	.54* [.4, .7]	.54* [.5, .6]	.31* [.3, .35]	.51* [.5, .55]
Age	.89* [.8, .9]	.74* [.7, .75]	.85* [.8, .9]	.47* [.46, .48]	.92* [.8, 1.0]	.53* [.5, .55]	.79* [.7, .8]	.67* [.6, .7]	.87* [.8, .9]	.56* [.54, .56]
Age Square	1.001* [1.001, 1.002]	1.004* [1.004, 1.004]	1.002* [1.001, 1.002]	1.01* [1.009, 1.01]	1.001* [1.000, 1.002]	1.008* [1.008, 1.009]	1.003* [1.002, 1.003]	1.005* [1.005, 1.005]	1.002* [1.001, 1.002]	1.007* [1.007, 1.008]
First generation Europe4	.62* [0.4, 0.9]	.76* [.6, .9]	2.06* [1.4, 2.9]	.90 [.7, 1.2]	1.64* [1.0, 2.6]	.91 [.7, 1.2]	2.38* [1.6, 3.4]	.83 [.6, 1.1]	1.91* [1.6, 2.3]	1.40* [1.2, 1.6]
Second generation Europe4	1.12 [0.6, 2.1]	1.10 [.7, 1.6]	1.17 [.7, 1.9]	1.11 [.8, 1.5]	2.31* [1.2, 4.4]	1.51 [.9, 2.4]	2.62* [1.6, 4.2]	1.49* [1.03, 2.2]	1.43* [1.1, 1.9]	1.19 [.9, 1.5]
First generation non Europe4	2.82* [2.3, 3.5]	2.24* [1.9, 2.6]	3.26* [2.6, 4.0]	1.10 [.9, 1.3]	9.21* [6.7, 12.6]	2.28* [1.6, 3.1]	8.85* [6.9, 11.3]	2.47* [1.9, 3.2]	2.23* [1.9, 2.6]	1.54* [1.3, 1.8]
Second generation non European4	1.78* [1.2, 2.6]	1.60* [1.2, 2.1]	2.54* [1.9, 3.4]	1.45* [1.1, 1.9]	9.09* [5.2, 15.7]	2.54* [1.5, 4.4]	4.41* [1.2, 15.6]	4.35* [1.8, 10.6]	2.41* [1.9, 3.1]	.91 [.7, 1.2]
Nagelkerke–Pseudo R-Square	.198		.397		.394		.162		.285

1. Model also includes very small categories ‘first generation other Europe’ and ‘second generation other Europe’ for control purposes (coefficient are presented in S4 Appendix).

2. Model includes also a series of country dummy variables and round dummy variables:

Exponents of coefficients for "Unemployed" are: ESS2 = 1.16*, ESS3 = 1.04. ESS4 = 0.95, ESS5 = 1.01, Switzerland = 0.41*, Germany = 1.55*, Denmark = 0.75, France = 1.07, UK = 1.12, Netherlands = 0.66*, Norway = 0.59*, Sweden = 0.59*

Exponents of coefficients for "Out of the labor force" are: ESS2 = 1.07, ESS3 = 0.89*. ESS4 = 0.84*, ESS5 = 0.89*, Switzerland = 0.43, Germany = 0.82*, Denmark = 0.64*, France = 1.02, UK = 1.12*, Netherlands = 0.75*, Norway = 0.47*, Sweden = 0.39*

3. Middle Level of Education is comparison category

4. Native population is comparison category

*p<0.05