IDEAS home Printed from https://ideas.repec.org/p/red/sed016/1686.html

The Anatomy of the Wage Distribution: How do Gender and Immigration Matter?

Author

Listed:
  • Suphanit Piyapromdee

    (University College London)

  • Jean Marc Robin

    (Sciences Po)

  • Rasmus Lentz

    (University of Wisconsin Madison)

Abstract

​Workers with similar observed characteristics may have different wage paths because their unobserved characteristics are rewarded differently or because they have different mobility patterns. For example, controlling for observed characteristics, a native worker may have a steeper wage profile than his counterpart immigrant because he has different unobserved characteristics or because he is more likely to be employed at a more productive firm (likewise for male versus female workers). Understanding the contributions of worker and firm heterogeneity to wage and mobility differentials can shed light on many key economic issues such as wage inequality, statistical discrimination and wage assimilation of immigrants. In this paper, we propose an estimation method that allows for unrestricted interactions between worker and firm unobserved characteristics in both wages and the moving probability. Related to Bonhomme, Lamadon and Manresa (2014) (BLM), our method identifies double sided unobserved heterogeneity through an application of the EM-algorithm. The analysis estimates both wage and mobility patterns using Danish matched employer-employee data and decomposes wage dispersion into mobility and wage variation across firms and workers.

Suggested Citation

  • Suphanit Piyapromdee & Jean Marc Robin & Rasmus Lentz, 2016. "The Anatomy of the Wage Distribution: How do Gender and Immigration Matter?," 2016 Meeting Papers 1686, Society for Economic Dynamics.
    • Handle: RePEc:red:sed016:1686
    as

    Download full text from publisher

    File URL: https://red-files-public.s3.amazonaws.com/meetpapers/2016/paper_1686.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stéphane Bonhomme & Jean-Marc Robin, 2009. "Assessing the Equalizing Force of Mobility Using Short Panels: France, 1990-2000," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(1), pages 63-92.
    2. Peter Arcidiacono & John Bailey Jones, 2003. "Finite Mixture Distributions, Sequential Likelihood and the EM Algorithm," Econometrica, Econometric Society, vol. 71(3), pages 933-946, May.
    3. Peter Arcidiacono & Robert A. Miller, 2011. "Conditional Choice Probability Estimation of Dynamic Discrete Choice Models With Unobserved Heterogeneity," Econometrica, Econometric Society, vol. 79(6), pages 1823-1867, November.
    4. repec:spo:wpmain:info:hdl:2441/eu4vqp9ompqllr09j008g6g0g is not listed on IDEAS
    5. Stéphane Bonhomme & Thibaut Lamadon & Elena Manresa, 2019. "A Distributional Framework for Matched Employer Employee Data," Econometrica, Econometric Society, vol. 87(3), pages 699-739, 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. Bødker, Jonas Ehn & Maibom, Jonas & Vejlin, Rune, 2024. "Decomposing the exporter wage gap: Selection or differential returns?," Labour Economics, Elsevier, vol. 91(C).

    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. Manuel Arellano & Stéphane Bonhomme, 2017. "Nonlinear Panel Data Methods for Dynamic Heterogeneous Agent Models," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 471-496, September.
    2. Thibaut Lamadon & Elena Manresa & Stephane Bonhomme, 2016. "Discretizing Unobserved Heterogeneity," 2016 Meeting Papers 1536, Society for Economic Dynamics.
    3. Manuel Arellano & Stéphane Bonhomme, 2016. "Nonlinear panel data estimation via quantile regressions," Econometrics Journal, Royal Economic Society, vol. 19(3), pages 61-94, October.
    4. Minkyung Kim & K. Sudhir & Kosuke Uetake, 2019. "A Structural Model of a Multitasking Salesforce: Multidimensional Incentives and Plan Design," Cowles Foundation Discussion Papers 2199R, Cowles Foundation for Research in Economics, Yale University, revised Apr 2021.
    5. Benjamin Friedrich & Costas Meghir & Lisa Laun & Luigi Pistaferri, 2018. "Earnings Dynamics and Firm-Level Shocks," 2018 Meeting Papers 536, Society for Economic Dynamics.
    6. Robert J. Gary‐Bobo & Marion Goussé & Jean‐Marc Robin, 2016. "Grade retention and unobserved heterogeneity," Quantitative Economics, Econometric Society, vol. 7(3), pages 781-820, November.
    7. Guofang Huang & Ahmed Khwaja & K. Sudhir, 2012. "Short Run Needs and Long Term Goals: A Dynamic Model of Thirst Management," Cowles Foundation Discussion Papers 1856, Cowles Foundation for Research in Economics, Yale University.
    8. Attila Gyetvai & Peter Arcidiacono, 2022. "Identification and Estimation of Continuous-Time Job Search Models with Preference Shocks," Working Papers w202215, Banco de Portugal, Economics and Research Department.
    9. repec:spo:wpmain:info:hdl:2441/6tve7u8o9k9dv8fanl7utalotr is not listed on IDEAS
    10. Jochmans, Koen & Higgins, Ayden, 2022. "Learning Markov Processes with Latent Variables," TSE Working Papers 22-1366, Toulouse School of Economics (TSE).
    11. Guofang Huang & Ahmed Khwaja & K. Sudhir, 2015. "Short-Run Needs and Long-Term Goals: A Dynamic Model of Thirst Management," Marketing Science, INFORMS, vol. 34(5), pages 702-721, September.
    12. Marion Goussé, 2014. "Marriage market and intra-household allocation : essays in economics of family and education [Formation des couples et allocation des ressources au sein des ménages : essais en économie de la famille et de l’éducation]," Sciences Po Economics Publications (main) tel-03516515, HAL.
    13. Marion Gousse, 2014. "Marriage Market and Intra-Household Allocation. Essays in Economics of Family and Education," Sciences Po publications info:hdl:2441/6tve7u8o9k9, Sciences Po.
    14. Elena Mattana & Juanna Joensen, 2016. "Student Aid, Academic Achievement, and Labor Market Behavior," 2016 Meeting Papers 1102, Society for Economic Dynamics.
    15. Manuel Arellano & Stéphane Bonhomme, 2017. "Nonlinear Panel Data Methods for Dynamic Heterogeneous Agent Models," Working Papers wp2018_1703, CEMFI.
    16. Elena Mattana & Juanna Joensen, 2014. "Student Aid, Academic Achievement, and Labor Market Behavior: Grants or Loans?," 2014 Meeting Papers 707, Society for Economic Dynamics.
    17. Doug J. Chung & Thomas Steenburgh & K. Sudhir, 2014. "Do Bonuses Enhance Sales Productivity? A Dynamic Structural Analysis of Bonus-Based Compensation Plans," Marketing Science, INFORMS, vol. 33(2), pages 165-187, March.
    18. Minkyung Kim & K. Sudhir & Kosuke Uetake, 2019. "A Structural Model of a Multitasking Salesforce: Multidimensional Incentives and Plan Design," Cowles Foundation Discussion Papers 2199, Cowles Foundation for Research in Economics, Yale University.
    19. Michele Fioretti & Junnan He & Jorge Tamayo, 2024. "Prices and Concentration: A U-Shape? Theory and Evidence from Renewables," Working Papers hal-04631762, HAL.
    20. Argan, Damiano & Gary-Bobo, Robert & Goussé, Marion, 2023. "Is there a devaluation of degrees ? Unobserved heterogeneity in returns to education and early experience," CEPREMAP Working Papers (Docweb) 2304, CEPREMAP.
    21. Qi Li & Juan Pantano, 2023. "The demographic consequences of sex‐selection technology," Quantitative Economics, Econometric Society, vol. 14(1), pages 309-347, January.

    More about this item

    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:red:sed016:1686. 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: Christian Zimmermann (email available below). General contact details of provider: https://edirc.repec.org/data/sedddea.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.