Employment Outcomes of Immigrants Across EU Countries

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Employment Outcomes of Immigrants Across EU Countries Yvonni Markaki Institute for Social and Economic Research University of Essex ymarka@essex.ac.uk

! Do international migrants fare better or worse in employment than native born individuals?! Are there significant differences across EU countries?! How does immigrant status as EU or non-eu influence the likelihood of being successful in employment?! Does holding the local citizenship improve the employment performance of foreign born individuals?! Do the more commonly used outcomes, such as wages and likelihood of being employed conceal other differences in immigrants employment experience across the EU? 2

Previous findings on Employment outcomes of immigrants in Europe Kogan, I. (2006), Labor markets and economic incorporation among recent immigrants in europe, Social Forces 85(2), 697 721. Data: Pooled European Labor Force Survey data 1992-2000 Outcomes: Unemployment risk Findings: In countries with larger % labour force in low skilled occupations immigrants less likely to be unemployed than in countries with a smaller low-skilled sector In countries with stricter Employment Protection Legislation immigrants more likely to be unemployed Liberal welfare regimes are associated with lower unemployment risk than in social-democratic and conservative welfare regimes In countries with higher economic growth immigrants less likely to be unemployed compared to countries with lower growth 3

Previous findings on Employment outcomes of immigrants in Europe Causa, O. & Jean, S. (2007), Integration of immigrants in oecd countries: Do policies matter?, OECD Economics Department Working Papers (564). Data: 12 OECD countries ECHP PSID HILDA SLID, 1994-2003 Outcomes: Activity, employment, hourly earnings, fixed-term contract. Findings: Immigrants lag behind natives but differences narrow as years since settlement increase Strong differences in immigrant-to-native gaps observed across countries (but non standardised data may limit direct comparability) Cross country differences partly explained by differences in labour market policies (unemployment benefits, the tax wedge, minimum wage, EPL dualism) Labour market flexibility in temporary contracts impacts immigrants more than natives 4

Previous findings on Employment outcomes of immigrants in Europe Kahanec, M. & Zaiceva, A. (2009), Labor market outcomes of immigrants and non-citizens in the eu: An east-west comparison, International Journal of Manpower 30(1/2), 97 115. Data: EU SILC 2005 (cross) Outcomes: Employment and hourly earnings Findings: Foreign origin and citizenship associated with lower employment prob and lower earnings Foreign origin is important in both west and east/ but citizenship also important in east But how are hourly earnings calculated without hours worked in Income Ref P.? Focus on foreign origin and citizenship but tested separately Comparison between EU 15 and EU 8 countries but Greece, Portugal, Ireland together with Sweden, UK and Germany 5

Motivation! The majority of previous literature has focused on earnings and employment or selfemployment separately! Employment rates and hourly earnings do not account for secondary jobs, job security and under-employment! Working simultaneously in many jobs (multiple employment) and/or the inability to find full-time work (under-employment) might impact immigrants more than natives and hinder their long-term integration and settlement! Temporary and unstable employment (precarious contracts) might encourage nontaxed informal employment and leave immigrants and their families vulnerable to poverty.! Bad job-matches in terms of skills (over-qualification) might impact immigrants more and hinder acquisition of skill-relevant work experience and further job advancement! Provide direct comparison across countries 6

This paper estimates and compares the residual impact of foreign origin and citizenship on 8 indicators of employment, across 23 European countries Employment participation! Activity! Unemployment! Self-employment! Wages Employment quality! Over-qualification! Under-employment! Multiple employment! Precarious employment 7

! Individual level data from the EU SILC for 2005 and 2010 (cross)! Immigrant status classified under 4 categories: EU born 2.18% of sample Other born 2.37% of sample EU born but local citizen (naturalised) 1.06% of sample Other born but local citizen (naturalised) 2.27% of sample! Men and women analysed separately Men 23 to 64 years old ~ 230,000 individuals Women 23 to 60 years old ~ 228,000 individual 8

Definitions! Active " those of working age (0) who are in paid work or unemployed (1) based on selfdefined current economic activity! Self-employed " those in paid work (0) who are self-employed (1) based on employment status and self-defined economic activity! Unemployed " of those who are active (0) who have been actively looking for a job in the past 4 weeks and are available to start work in the next 2 weeks (1) 9

Definitions! Log Monthly Earnings " Cash income for employees during the income reference period (year) " Divided by reported months in full-time (months x 1) and part-time (months x0.5) work as employee " Euros " Reported earnings include bonuses, extra-time, allowances etc. " No information on average hours/week during the income reference period 10

Definitions! Over-qualified for occupation Matches the level of education of individuals in EU-SILC with the Mode education level among natives for each occupation by country and year " Education level based on ISCED 6 categories " Occupation using ISCO-08 two-digit codes " Natives mode based on EU LFS individual level dataset (Q4-2004 and Q4-2009) " Among current employees (0) those who have a higher qualification than the mode among natives for that occupation, country and year (1) 11

Definitions! Under-employed " Working less than 30 hours (In all jobs) although would like to work more because of inability to find work for more hours " Variable intended to capture the concept of underemployment (working fewer hours than the person would prefer because they cannot find a job working more hours) " of those who are currently employees (0) those who reported working under 30 hours/week because they cannot find a job for more hours (1) 12

Definitions! In multiple employment " of those who are currently employees (0) who reported working more than 1 hour the previous week on a job other than their main one (1)! In precarious employment " of those who are currently employees (0) who have a temporary job contract of limited duration and those who have no contract (1) 13

Models! Individual level Logit models for binary outcomes and OLS for log earnings as in equations (1) and (2), separately for men and women Equation (1) no interactions Outcome it = α + β i Immigrant dummies i + κ i Controls i + χ i Country dummies i + ε i Equation (2) with immigrant-country interactions Outcome it = α + β i Immigrant dummies i + κ i Controls i + χ i Country dummies i + ζ i Immigrant*Country Interactions + ε i! Controls Age, age squared, ISCED level of education, marital status, household with children, wave, GDP, growth 14

Estimated impact of immigrant status on the likelihood of being economically ACTIVE as in equation (1) no interactions, men EU immigrant* Other immigrant* EU-born naturalised* Other-born naturalised* -.0004 -.0002 0.0002.0004 15

Estimated impact of EU-born status on the likelihood of being economically ACTIVE as in equation (2) with interactions, men EU BE * EU CY * EU CZ * EU DK * EU ES * EU FI * EU FR * EU GR * EU HU * EU IE * EU IS * EU IT * EU LT * EU LU * EU NL * EU NO * EU PT * EU SE * EU SK * EU UK * -.001 0.001.002.003 16

Estimated impact of Other-born status on the likelihood of being economically ACTIVE as in equation (2) with interactions, men Other BE * Other CY * Other CZ * Other DK * Other ES * Other FI * Other FR * Other GR * Other HU * Other IE * Other IS * Other IT * Other LT * Other LU * Other NL * Other NO * Other PL * Other PT * Other SE * Other SK * Other UK * 0.005.01.015 17

Estimated impact of Other-born naturalised status on the likelihood of being economically ACTIVE as in equation (2) with interactions, men Other naturalised BE * Other naturalised CY * Other naturalised CZ * Other naturalised DK * Other naturalised ES * Other naturalised FI * Other naturalised FR * Other naturalised GR * Other naturalised HU * Other naturalised IE * Other naturalised IS * Other naturalised IT * Other naturalised LT * Other naturalised LU * Other naturalised NL * Other naturalised NO * Other naturalised PL * Other naturalised PT * Other naturalised SE * Other naturalised SK * Other naturalised UK * Active -.0005 0.0005.001.0015 18

Estimated impact of immigrant status on the likelihood of being UNEMPLOYED as in equation (1) no interactions, men EU immigrant* Other immigrant* EU-born naturalised* Other-born naturalised* 0.005.01.015.02 19

Estimated impact of EU-born status on the likelihood of being UNEMPLOYED as in equation (2) with interactions, men EU BE * EU CY * EU CZ * EU DK * EU ES * EU FI * EU FR * EU GR * EU IE * EU IS * EU IT * EU LU * EU NO * EU SE * EU SK * EU UK * -.08 -.06 -.04 -.02 0.02 20

Estimated impact of Other-born status on the likelihood of being UNEMPLOYED as in equation (2) with interactions, men Other BE * Other BG * Other CY * Other CZ * Other DK * Other ES * Other FI * Other FR * Other GR * Other HU * Other IE * Other IS * Other IT * Other LT * Other LU * Other NL * Other NO * Other PL * Other PT * Other SE * Other SK * Other UK * -.2 -.15 -.1 -.05 0 21

Estimated impact of Other-born naturalised status on the likelihood of being UNEMPLOYED as in equation (2) with interactions, men Other naturalised BE * Other naturalised DK * Other naturalised ES * Other naturalised FI * Other naturalised FR * Other naturalised GR * Other naturalised HU * Other naturalised IE * Other naturalised IS * Other naturalised IT * Other naturalised LT * Other naturalised LU * Other naturalised NL * Other naturalised NO * Other naturalised PL * Other naturalised PT * Other naturalised SE * Other naturalised UK * Unemployed -.4 -.3 -.2 -.1 0 22

Estimated impact of immigrant status on the likelihood of being SELF-EMPLOYED as in equation (1) no interactions, men EU immigrant* Other immigrant* EU-born naturalised* Other-born naturalised* -.006 -.004 -.002 0.002 23

Estimated impact of EU-born status on the likelihood of being SELF-EMPLOYED as in equation (2) with interactions, men EU BE * EU CY * EU CZ * EU DK * EU ES * EU FI * EU FR * EU GR * EU HU * EU IE * EU IS * EU IT * EU LU * EU NL * EU NO * EU PL * EU PT * EU SE * EU SK * EU UK * 0.05.1.15.2 24

Estimated impact of Other-born status on the likelihood of being SELF-EMPLOYED as in equation (2) with interactions, men Other BE * Other BG * Other CY * Other CZ * Other DK * Other ES * Other FI * Other FR * Other GR * Other HU * Other IE * Other IS * Other IT * Other LT * Other LU * Other NL * Other NO * Other PL * Other PT * Other SE * Other SK * Other UK * 0.1.2.3.4 25

Estimated impact of Other-born naturalised status on the likelihood of being SELF-EMPLOYED as in equation (2) with interactions, men Other naturalised BE * Other naturalised BG * Other naturalised CY * Other naturalised CZ * Other naturalised DK * Other naturalised ES * Other naturalised FI * Other naturalised FR * Other naturalised GR * Other naturalised HU * Other naturalised IE * Other naturalised IS * Other naturalised IT * Other naturalised LT * Other naturalised LU * Other naturalised NL * Other naturalised NO * Other naturalised PL * Other naturalised PT * Other naturalised SE * Other naturalised SK * Other naturalised UK * Self-employed 0.1.2.3.4.5 26

Estimated impact of immigrant status on EARNINGS as in equation (1) no interactions, men EU immigrant* Other immigrant* EU-born naturalised* Other-born naturalised* -.3 -.2 -.1 0 27

Estimated impact of EU-born status on EARNINGS as in equation (2) with interactions, men EU BE * EU CY * EU CZ * EU DK * EU ES * EU FI * EU FR * EU GR * EU HU * EU IE * EU IS * EU IT * EU LT * EU LU * EU NL * EU NO * EU PL * EU PT * EU SE * EU SK * EU UK * -1 -.5 0.5 1 1.5 28

Estimated impact of Other-born status on EARNINGS as in equation (2) with interactions, men Other BE * Other BG * Other CY * Other CZ * Other DK * Other ES * Other FI * Other FR * Other GR * Other HU * Other IE * Other IS * Other IT * Other LT * Other LU * Other NL * Other NO * Other PL * Other PT * Other SE * Other SK * Other UK * -.5 0.5 1 1.5 29

Estimated impact of Other-born naturalised status on EARNINGS as in equation (2) with interactions, men Other naturalised BE * Other naturalised BG * Other naturalised CY * Other naturalised CZ * Other naturalised DK * Other naturalised ES * Other naturalised FI * Other naturalised FR * Other naturalised GR * Other naturalised HU * Other naturalised IE * Other naturalised IS * Other naturalised IT * Other naturalised LT * Other naturalised LU * Other naturalised NL * Other naturalised NO * Other naturalised PL * Other naturalised PT * Other naturalised SE * Other naturalised SK * Other naturalised UK * Log monthly earnings -.5 0.5 1 30

Estimated impact of immigrant status on the likelihood of being OVER-QUALIFIED as in equation (1) no interactions, men EU immigrant* Other immigrant* EU-born naturalised* Other-born naturalised* 0.02.04.06.08 31

Estimated impact of EU-born status on the likelihood of being OVER-QUALIFIED as in equation (2) with interactions, men EU BE * EU CY * EU CZ * EU DK * EU ES * EU FI * EU FR * EU GR * EU HU * EU IE * EU IS * EU IT * EU LU * EU NL * EU NO * EU PL * EU PT * EU SE * EU SK * EU UK * -.2 0.2.4.6 32

Estimated impact of Other-born status on the likelihood of being OVER-QUALIFIED as in equation (2) with interactions, men Other BE * Other BG * Other CY * Other CZ * Other DK * Other ES * Other FI * Other FR * Other GR * Other HU * Other IE * Other IS * Other IT * Other LT * Other LU * Other NL * Other NO * Other PL * Other PT * Other SE * Other SK * Other UK * -.2 0.2.4.6 33

Estimated impact of Other-born naturalised status on the likelihood of being OVER-QUALIFIED as in equation (2) with interactions, men Other naturalised BE * Other naturalised CY * Other naturalised CZ * Other naturalised DK * Other naturalised ES * Other naturalised FI * Other naturalised FR * Other naturalised GR * Other naturalised HU * Other naturalised IE * Other naturalised IS * Other naturalised IT * Other naturalised LT * Other naturalised LU * Other naturalised NL * Other naturalised NO * Other naturalised PL * Other naturalised PT * Other naturalised SE * Other naturalised SK * Other naturalised UK * Over-qualified -.2 0.2.4.6 34

Estimated impact of immigrant status on the likelihood of being UNDER-EMPLOYED as in equation (1) no interactions, men EU immigrant* Other immigrant* EU-born naturalised* Other-born naturalised* 0.05.1.15.2 35

Estimated impact of EU-born status on the likelihood of being UNDER-EMPLOYED as in equation (2) with interactions, men EU BE * EU CY * EU ES * EU FR * EU HU * EU IE * EU IS * EU IT * EU LU * EU SE * EU UK * -.05 0.05.1 36

Estimated impact of Other-born status on the likelihood of being UNDER-EMPLOYED as in equation (2) with interactions, men Other BE * Other CY * Other DK * Other ES * Other FI * Other FR * Other GR * Other IT * Other LU * Other NO * Other SE * Other UK * -.05 0.05.1 37

Estimated impact of Other-born naturalised status on the likelihood of being UNDER-EMPLOYED as in equation (2) with interactions, men Other naturalised BE * Other naturalised ES * Other naturalised FI * Other naturalised FR * Other naturalised GR * Other naturalised IS * Other naturalised IT * Other naturalised LT * Other naturalised NL * Other naturalised NO * Other naturalised SE * Other naturalised UK * Under-employed -.2 -.1 0.1 38

Estimated impact of immigrant status on the likelihood of being in MULTIPLE EMPLOYMENT as in equation (1) no interactions, men EU immigrant* Other immigrant* EU-born naturalised* Other-born naturalised* -.015 -.01 -.005 0.005 39

Estimated impact of EU-born status on the likelihood of being in MULTIPLE EMPLOYMENT as in equation (2) with interactions, men EU BE * EU CY * EU DK * EU ES * EU FI * EU FR * EU GR * EU IE * EU IS * EU IT * EU LU * EU NL * EU NO * EU SE * EU SK * EU UK * 0.2.4.6.8 40

Estimated impact of Other-born status on the likelihood of being in MULTIPLE EMPLOYMENT as in equation (2) with interactions, men Other BE * Other CY * Other CZ * Other ES * Other FI * Other FR * Other GR * Other HU * Other IS * Other IT * Other LT * Other NL * Other NO * Other PL * Other PT * Other SE * Other SK * Other UK * 0.2.4.6.8 41

Estimated impact of Other-born natur. status on the likelihood of being in MULTIPLE EMPLOYMENT as in equation (2) with interactions, men Other naturalised BE * Other naturalised CY * Other naturalised DK * Other naturalised ES * Other naturalised FI * Other naturalised FR * Other naturalised GR * Other naturalised HU * Other naturalised IS * Other naturalised IT * Other naturalised LT * Other naturalised NL * Other naturalised NO * Other naturalised PL * Other naturalised PT * Other naturalised SE * Other naturalised UK * Multiple employment 0.1.2.3 42

Estimated impact of immigrant status on the likelihood of being in PRECARIOUS EMPLOYMENT as in equation (1) no interactions, men EU immigrant* Other immigrant* EU-born naturalised* Other-born naturalised*.05.1.15.2.25 43

Estimated impact of EU-born status on the likelihood of being in PRECARIOUS EMPLOYMENT as in equation (2) with interactions, men EU BE * EU CY * EU CZ * EU ES * EU FI * EU FR * EU GR * EU HU * EU IE * EU IS * EU IT * EU LT * EU LU * EU NL * EU NO * EU PL * EU PT * EU SE * EU SK * EU UK * -.6 -.4 -.2 0.2.4 44

Estimated impact of Other-born status on the likelihood of being in PRECARIOUS EMPLOYMENT as in equation (2) with interactions, men Other BE * Other BG * Other CY * Other CZ * Other ES * Other FI * Other FR * Other GR * Other HU * Other IE * Other IS * Other IT * Other LT * Other LU * Other NL * Other NO * Other PT * Other SE * Other UK * -.4 -.2 0.2.4 45

Estimated impact of Other-born natur status on the likelihood of being in PRECARIOUS EMPLOYMENT as in equation (2) with interactions, men Other naturalised BE * Other naturalised CY * Other naturalised CZ * Other naturalised ES * Other naturalised FI * Other naturalised FR * Other naturalised GR * Other naturalised HU * Other naturalised IS * Other naturalised IT * Other naturalised LT * Other naturalised LU * Other naturalised NL * Other naturalised NO * Other naturalised PL * Other naturalised PT * Other naturalised SE * Other naturalised SK * Other naturalised UK * Precarious employment -.6 -.4 -.2 0.2 46

Discussion! Findings suggest that immigrants experience a larger immigrant-native gap in employment quality than they do in employment participation! Among the Other-born, having citizenship narrows the immigrant-native gap in self-employment, precarious and under-employment, but not in over-qualification and multiple employment! There are large differences in employment performance between EU-born and Other-born immigrants, even within the same country! In many countries where the immigrant-native over-qualification gap is smaller, the earnings gap is also smaller! but in PT, CZ, DK, UK immigrants more likely to be over-qualified despite having higher earnings than natives! Agree with previous research in terms of heterogeneity across countries! Not controlling for this heterogeneity may lead to biased estimates of the residual impact of foreign origin! What may drive this heterogeneity across immigrants and countries? 47

Concerns! Cannot control for immigrant status nor years of residence! Cannot control for immigrant specific abilities ie. Language proficiency! Cannot compute hourly wages! Foreign-born with local citizenship does not necessarily mean naturalisation! Cannot infer on the impact of assimilation (cross-sectional data)! Assumption that immigrant cohorts are the same in 2005 and 2010! The impact of years spent in host country might differ across various outcomes! Immigrants might choose precarious employment 49