IDEAS home Printed from https://ideas.repec.org/p/uab/wprdea/wpdea0909.html
   My bibliography  Save this paper

Heterogeneity across Immigrants in the Spanish Labour Market: Advantage and Disadvantage

Author

Listed:
  • Catia Nicodemo

    (Departament d'Economia Aplicada, Universitat Autonoma de Barcelona)

Abstract

The purpose of this paper is to analyze the diferences that immigrants have in the Spanish labour market. Immigrants in Spain come from a diversity of continents (Africa, South America, Eastern Europe, Asia, etc.), and there are substantial diferences in characteristics not only among continents but also among countries in each continent. Using a quantile regression method of decomposition we estimate these diferences that are reflected in the labour market and in particular are mirrored in the wage, so some immigrants are more discriminated or segregated that others because they have less advantage. For example Argentineans and Peruvians have the same origin and culture but we can find diferences in the wage that they receive in the Spanish labor market, or for example Moroccans have a advantage with respect to the Rest of Africans, due to the geographical proximity to Spain. So when we study the pay gap and the gender pay gap we need to take into consideration the origin of immigrants. We also want to study how the integration of immigrants evolved across years, whether the wage gap that we find in the first episode of work between immigrants and natives disappears or continues to be present in the Spain labour market.

Suggested Citation

  • Catia Nicodemo, 2009. "Heterogeneity across Immigrants in the Spanish Labour Market: Advantage and Disadvantage," Working Papers wpdea0909, Department of Applied Economics at Universitat Autonoma of Barcelona.
  • Handle: RePEc:uab:wprdea:wpdea0909
    as

    Download full text from publisher

    File URL: https://ecap.uab.cat/RePEc/doc/wpdea0909.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. José Mata & José A. F. Machado, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465.
    2. Francine D. Blau & Lawrence M. Kahn, 2000. "Gender Differences in Pay," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 75-99, Fall.
    3. Heinze, Anja & Beninger, Denis & Beblo, Miriam & Laisney, François, 2003. "Measuring Selectivity-Corrected Gender Wage Gaps in the EU," ZEW Discussion Papers 03-74, ZEW - Leibniz Centre for European Economic Research.
    4. repec:ehu:dfaeii:6722 is not listed on IDEAS
    5. Catalina Amuedo‐Dorantes & Sara De La Rica, 2007. "Labour Market Assimilation of Recent Immigrants in Spain," British Journal of Industrial Relations, London School of Economics, vol. 45(2), pages 257-284, June.
    6. Paul W. Miller, 1987. "Gender Differences in Observed and Offered Wages in Canada, 1980," Canadian Journal of Economics, Canadian Economics Association, vol. 20(2), pages 225-244, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Catia Nicodemo & Raul Ramos, 2012. "Wage differentials between native and immigrant women in Spain," International Journal of Manpower, Emerald Group Publishing Limited, vol. 33(1), pages 118-136, March.
    2. Nicodemo, Catia & Nicolini, Rosella, 2012. "Random or Referral Hiring: When Social Connections Matter," IZA Discussion Papers 6312, Institute of Labor Economics (IZA).

    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. Nicodemo, Catia, 2009. "Gender Pay Gap and Quantile Regression in European Families," IZA Discussion Papers 3978, Institute of Labor Economics (IZA).
    2. Antonczyk, Dirk & Fitzenberger, Bernd & Sommerfeld, Katrin, 2010. "Rising wage inequality, the decline of collective bargaining, and the gender wage gap," Labour Economics, Elsevier, vol. 17(5), pages 835-847, October.
    3. Chi, Wei & Li, Bo, 2014. "Trends in China’s gender employment and pay gap: Estimating gender pay gaps with employment selection," Journal of Comparative Economics, Elsevier, vol. 42(3), pages 708-725.
    4. Chzhen, Yekaterina & Mumford, Karen, 2011. "Gender gaps across the earnings distribution for full-time employees in Britain: Allowing for sample selection," Labour Economics, Elsevier, vol. 18(6), pages 837-844.
    5. Claudia Olivetti & Barbara Petrongolo, 2008. "Unequal Pay or Unequal Employment? A Cross-Country Analysis of Gender Gaps," Journal of Labor Economics, University of Chicago Press, vol. 26(4), pages 621-654, October.
    6. Juan D. Barón & Deborah A. Cobb‐Clark, 2010. "Occupational Segregation and the Gender Wage Gap in Private‐ and Public‐Sector Employment: A Distributional Analysis," The Economic Record, The Economic Society of Australia, vol. 86(273), pages 227-246, June.
    7. Inés P. Murillo & Hipólito Simón, 2014. "La Gran Recesión y el diferencial salarial por género en España," Hacienda Pública Española / Review of Public Economics, IEF, vol. 208(1), pages 39-76, March.
    8. Francine D. Blau & Lawrence M. Kahn, 2006. "The U.S. Gender Pay Gap in the 1990S: Slowing Convergence," ILR Review, Cornell University, ILR School, vol. 60(1), pages 45-66, October.
    9. Mohamed Jellal & Christophe Nordman & Francois-Charles Wolff, 2008. "Evidence on the glass ceiling effect in France using matched worker-firm data," Applied Economics, Taylor & Francis Journals, vol. 40(24), pages 3233-3250.
    10. Paul Miller, 2009. "The Gender Pay Gap in the US: Does Sector Make a Difference?," Journal of Labor Research, Springer, vol. 30(1), pages 52-74, March.
    11. repec:dau:papers:123456789/4377 is not listed on IDEAS
    12. Ahmed, Salma & McGillivray, Mark, 2015. "Human Capital, Discrimination, and the Gender Wage Gap in Bangladesh," World Development, Elsevier, vol. 67(C), pages 506-524.
    13. Bargain, Olivier B. & Doorley, Karina & Van Kerm, Philippe, 2018. "Minimum Wages and the Gender Gap in Pay: New Evidence from the UK and Ireland," IZA Discussion Papers 11502, Institute of Labor Economics (IZA).
    14. Ömer Limanlı, 2015. "Gender Based Wage Gap in Turkey," EY International Congress on Economics II (EYC2015), November 5-6, 2015, Ankara, Turkey 22, Ekonomik Yaklasim Association.
    15. Carolina Castagnetti & Luisa Rosti & Marina Töpfer, 2020. "Discriminate me — If you can! The disappearance of the gender pay gap among public‐contest selected employees in Italy," Gender, Work and Organization, Wiley Blackwell, vol. 27(6), pages 1040-1076, November.
    16. Sandeep Mohapatra & Bruno Wichmann & Philippe Marcoul, 2018. "Removing The “Veil Of Ignorance”: Nonlinearities In Education Effects On Gender Wage Inequalities," Contemporary Economic Policy, Western Economic Association International, vol. 36(4), pages 644-666, October.
    17. Ge, Yuhao & Li, Hongbin & Zhang, Junsen, 2011. "Gender earnings gaps in Hong Kong: Empirical evidence from across the earnings distribution in 2006," China Economic Review, Elsevier, vol. 22(1), pages 151-164, March.
    18. Bosio, Giulio, 2009. "Temporary employment and wage gap with permanent jobs: evidence from quantile regression," MPRA Paper 16055, University Library of Munich, Germany.
    19. Mario F. Rueda Narváez & Mª. Lucía Navarro Gómez, 2011. "Las ganancias de los trabajadores inmigrantes en España," Hacienda Pública Española / Review of Public Economics, IEF, vol. 198(3), pages 37-65, September.
    20. Marina Bonaccolto-Töpfer & Carolina Castagnetti & Luisa Rosti, 2023. "Changes in the gender pay gap over time: the case of West Germany," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 57(1), pages 1-17, December.
    21. Leonora Risse & Lisa Farrell & Tim R L Fry, 2018. "Personality and pay: do gender gaps in confidence explain gender gaps in wages?," Oxford Economic Papers, Oxford University Press, vol. 70(4), pages 919-949.

    More about this item

    Keywords

    Gender gap; quantile regression; immigration; counterfactual decomposition;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables

    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:uab:wprdea:wpdea0909. 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: Dept. Economia Aplicada (email available below). General contact details of provider: https://edirc.repec.org/data/dauabes.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.