IDEAS home Printed from https://ideas.repec.org/p/hhs/cesisp/0473.html
   My bibliography  Save this paper

Refugee immigrants, occupational sorting and wage gaps

Author

Listed:
  • Baum, Christopher F

    (Boston College, DIW Berlin, and Centre of Excellence for Science and Innovation Studies (CESIS))

  • Lööf, Hans

    (Centre of Excellence for Science and Innovation Studies (CESIS), Royal Institute of Technology)

  • Stephan, Andreas

    (Jönköping University, DIW Berlin, and Centre of Excellence for Science and Innovation Studies (CESIS))

Abstract

This paper analyzes wage income differences between native born workers and refugee immigrants in Sweden within occupations delineated in accordance with the augmented canonical model of occupational assignment. The identification strategy is based on a control group of matched native born persons with similar characteristics as the refugees and by using panel data methods capturing unobserved heterogeneity. The econometric results from a Swedish employer-employee panel data set document a narrowed wage gap over time, showing that the remaining difference can be explained to a large extent by the sorting into different types of occupations. Based on an Blinder–Oaxaca decomposition, we find a persistent wage gap in cognitive non-routine occupations but also, surprisingly, task categories where refugees have higher earning than natives.

Suggested Citation

  • Baum, Christopher F & Lööf, Hans & Stephan, Andreas, 2018. "Refugee immigrants, occupational sorting and wage gaps," Working Paper Series in Economics and Institutions of Innovation 473, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
  • Handle: RePEc:hhs:cesisp:0473
    as

    Download full text from publisher

    File URL: https://static.sys.kth.se/itm/wp/cesis/cesiswp473.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shintaro Yamaguchi, 2012. "Tasks and Heterogeneous Human Capital," Journal of Labor Economics, University of Chicago Press, vol. 30(1), pages 1-53.
    2. Fane Groes & Philipp Kircher & Iourii Manovskii, 2015. "The U-Shapes of Occupational Mobility," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(2), pages 659-692.
    3. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    4. Joan Llull, 2018. "The Effect of Immigration on Wages: Exploiting Exogenous Variation at the National Level," Journal of Human Resources, University of Wisconsin Press, vol. 53(3), pages 608-662.
    5. Reinhard Schunck, 2013. "Within and between estimates in random-effects models: Advantages and drawbacks of correlated random effects and hybrid models," Stata Journal, StataCorp LP, vol. 13(1), pages 65-76, March.
    6. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    7. Reinhard Schunck & Francisco Perales, 2017. "Within- and between-cluster effects in generalized linear mixed models: A discussion of approaches and the xthybrid command," Stata Journal, StataCorp LP, vol. 17(1), pages 89-115, March.
    8. Christian Dustmann & Tommaso Frattini & Ian P. Preston, 2013. "The Effect of Immigration along the Distribution of Wages," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(1), pages 145-173.
    9. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    10. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Christopher F. Baum & Hans Lööf & Andreas Stephan & Klaus F. Zimmermann, 2024. "Estimating the Wage Premia of Refugee Immigrants: Lessons from Sweden," ILR Review, Cornell University, ILR School, vol. 77(4), pages 562-597, August.
    2. F Baum, Christopher & Lööf, Hans & Stephan, Andreas & F. Zimmermann, Klaus, 2020. "Productivity of refugee workers and implications for innovation and growth," Working Paper Series in Economics and Institutions of Innovation 485, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies, revised 24 Mar 2022.
    3. Joan Monras, 2020. "Immigration and Wage Dynamics: Evidence from the Mexican Peso Crisis," Journal of Political Economy, University of Chicago Press, vol. 128(8), pages 3017-3089.
    4. Baum, Christopher F & Lööf, Hans & Stephan, Andreas, 2018. "Economic impact of STEM immigrant workers," Working Paper Series in Economics and Institutions of Innovation 472, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    5. Michael J. Böhm & Hans-Martin von Gaudecker & Felix Schran, 2024. "Occupation Growth, Skill Prices, and Wage Inequality," Journal of Labor Economics, University of Chicago Press, vol. 42(1), pages 201-243.
    6. Lööf, Hans & Sahamkhadam, Maziar & Stephan, Andreas, 2022. "Is Corporate Social Responsibility investing a free lunch? The relationship between ESG, tail risk, and upside potential of stocks before and during the COVID-19 crisis," Finance Research Letters, Elsevier, vol. 46(PB).
    7. Guido Matias Cortes, 2016. "Where Have the Middle-Wage Workers Gone? A Study of Polarization Using Panel Data," Journal of Labor Economics, University of Chicago Press, vol. 34(1), pages 63-105.
    8. Mutarindwa, Samuel & Schäfer, Dorothea & Stephan, Andreas, 2021. "Differences in African banking systems: causes and consequences," Journal of Institutional Economics, Cambridge University Press, vol. 17(4), pages 561-581, August.
    9. Ullah, Inayat & Hussain, Saqib, 2023. "Impact of early access to land record information through digitization: Evidence from Alternate Dispute Resolution Data in Punjab, Pakistan," Land Use Policy, Elsevier, vol. 134(C).
    10. Christopher F. Baum & Hans Lööf & Andreas Stephan, 2018. "The contribution of foreign-born STEM workers to the knowledge-intensive economy: Evidence from Sweden," Boston College Working Papers in Economics 962, Boston College Department of Economics, revised 11 Feb 2024.
    11. Joan Llull, 2018. "Immigration, Wages, and Education: A Labour Market Equilibrium Structural Model," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(3), pages 1852-1896.
    12. Cavaglia, Chiara & Etheridge, Ben, 2020. "Job polarization and the declining quality of knowledge workers: Evidence from the UK and Germany," Labour Economics, Elsevier, vol. 66(C).
    13. Chenlu Li & Simon C Moore & Jesse Smith & Sarah Bauermeister & John Gallacher, 2019. "The costs of negative affect attributable to alcohol consumption in later life: A within-between random longitudinal econometric model using UK Biobank," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-15, February.
    14. Genz, Sabrina & Schnabel, Claus, 2021. "Digging into the digital divide: Workers' exposure to digitalization and its consequences for individual employment," Discussion Papers 118, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    15. Maria Elena Bontempi & Jan Ditzen, 2023. "GMM-lev estimation and individual heterogeneity: Monte Carlo evidence and empirical applications," Papers 2312.00399, arXiv.org, revised Dec 2023.
    16. Cavaglia, Chiara & Etheridge, Ben, 2020. "Job polarization and the declining quality of knowledge workers: evidence from the UK and Germany," LSE Research Online Documents on Economics 105819, London School of Economics and Political Science, LSE Library.
    17. Herold, Frédéric, 2024. "Flipping the Switch – The Role of Activity Load in Temporal Acquisition Patterns of Acquiring Firms," Junior Management Science (JUMS), Junior Management Science e. V., vol. 9(1), pages 1140-1177.
    18. Sina Otten, 2020. "Gender-Specific Personality Traits and Their Effects on the Gender Wage Gap: A Correlated Random Effects Approach using SOEP Data," SOEPpapers on Multidisciplinary Panel Data Research 1078, DIW Berlin, The German Socio-Economic Panel (SOEP).
    19. Keller, Wolfgang & Utar, Hale, 2023. "International trade and job polarization: Evidence at the worker level," Journal of International Economics, Elsevier, vol. 145(C).

    More about this item

    Keywords

    refugee immigration; income gap; employer-employee data; Blinder–Oaxaca decomposition;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hhs:cesisp:0473. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Vardan Hovsepyan (email available below). General contact details of provider: https://edirc.repec.org/data/cekthse.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.