IDEAS home Printed from https://ideas.repec.org/p/cen/wpaper/23-43.html
   My bibliography  Save this paper

Mixed-Effects Methods For Search and Matching Research

Author

Listed:
  • John M. Abowd
  • Kevin L. McKinney

Abstract

We study mixed-effects methods for estimating equations containing person and firm effects. In economics such models are usually estimated using fixed-effects methods. Recent enhancements to those fixed-effects methods include corrections to the bias in estimating the covariance matrix of the person and firm effects, which we also consider.

Suggested Citation

  • John M. Abowd & Kevin L. McKinney, 2023. "Mixed-Effects Methods For Search and Matching Research," Working Papers 23-43, Center for Economic Studies, U.S. Census Bureau.
    • Handle: RePEc:cen:wpaper:23-43
    as

    Download full text from publisher

    File URL: https://www2.census.gov/library/working-papers/2023/adrm/ces/CES-WP-23-43.pdf
    File Function: First version, 2023
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. John M. Abowd & Robert H. Creecy & Francis Kramarz, 2002. "Computing Person and Firm Effects Using Linked Longitudinal Employer-Employee Data," Longitudinal Employer-Household Dynamics Technical Papers 2002-06, Center for Economic Studies, U.S. Census Bureau.
    2. John M. Abowd & Kevin L. McKinney & Nellie L. Zhao, 2018. "Earnings Inequality and Mobility Trends in the United States: Nationally Representative Estimates from Longitudinally Linked Employer-Employee Data," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 183-300.
    3. Dale T. Mortensen, 2005. "Wage Dispersion: Why Are Similar Workers Paid Differently?," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262633191, December.
    4. Woodcock, Simon D., 2008. "Wage differentials in the presence of unobserved worker, firm, and match heterogeneity," Labour Economics, Elsevier, vol. 15(4), pages 771-793, August.
    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. Kline, Patrick, 2024. "Firm wage effects," Handbook of Labor Economics,, Elsevier.

    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. Jae Song & David J Price & Fatih Guvenen & Nicholas Bloom & Till von Wachter, 2019. "Firming Up Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(1), pages 1-50.
    2. Ainara González de San Román & Yolanda F. Rebollo‐Sanz, 2018. "An Estimation Of Worker And Firm Effects With Censored Data," Bulletin of Economic Research, Wiley Blackwell, vol. 70(4), pages 459-482, October.
    3. John M. Abowd & Francis Kramarz & Sébastien Pérez-Duarte & Ian M. Schmutte, 2018. "Sorting Between and Within Industries: A Testable Model of Assortative Matching," Annals of Economics and Statistics, GENES, issue 129, pages 1-32.
    4. Jesper Bagger & Mads Hejlesen & Kazuhiko Sumiya & Rune Vejlin, 2018. "Income Taxation and the Equilibrium Allocation of Labor," Economics Working Papers 2018-06, Department of Economics and Business Economics, Aarhus University.
    5. Kramarz, Francis & Machin, Stephen & Ouazad, Amine, 2008. "What Makes a Test Score? The Respective Contributions of Pupils, Schools, and Peers in Achievement in English Primary Education," IZA Discussion Papers 3866, Institute of Labor Economics (IZA).
    6. Cornelißen Thomas & Hübler Olaf, 2011. "Unobserved Individual and Firm Heterogeneity in Wage and Job-Duration Functions: Evidence from German Linked Employer–Employee Data," German Economic Review, De Gruyter, vol. 12(4), pages 469-489, December.
    7. Bombardini, Matilde & Orefice, Gianluca & Tito, Maria D., 2019. "Does exporting improve matching? Evidence from French employer-employee data," Journal of International Economics, Elsevier, vol. 117(C), pages 229-241.
    8. Isaac Sorkin, 2018. "Ranking Firms Using Revealed Preference," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1331-1393.
    9. Mittag, Nikolas, 2016. "A Simple Method to Estimate Large Fixed Effects Models Applied to Wage Determinants and Matching," IZA Discussion Papers 10447, Institute of Labor Economics (IZA).
    10. John Abowd & Francis Kramarz & Sebastien Perez-Duarte & Ian Schmutte, 2009. "A Formal Test of Assortative Matching in the Labor Market," Working Papers 09-40, Center for Economic Studies, U.S. Census Bureau.
    11. Bødker, Jonas Ehn & Maibom, Jonas & Vejlin, Rune, 2024. "Decomposing the exporter wage gap: Selection or differential returns?," Labour Economics, Elsevier, vol. 91(C).
    12. Davidson, Carl & Heyman, Fredrik & Matusz, Steven & Sjöholm, Fredrik & Zhu, Susan Chun, 2014. "Globalization and imperfect labor market sorting," Journal of International Economics, Elsevier, vol. 94(2), pages 177-194.
    13. Ioana Marinescu & Ronald Wolthoff, 2020. "Opening the Black Box of the Matching Function: The Power of Words," Journal of Labor Economics, University of Chicago Press, vol. 38(2), pages 535-568.
    14. Lavetti, Kurt & Schmutte, Ian M., 2023. "Gender differences in sorting on wages and risk," Journal of Econometrics, Elsevier, vol. 233(2), pages 507-523.
    15. Mikal Skuterud & Mingcui Su, 2012. "Immigrants and the Dynamics of High-Wage Jobs," ILR Review, Cornell University, ILR School, vol. 65(2), pages 377-397, April.
    16. Laurent Gobillon & François-Charles Wolff & Patrice Guillotreau, 2017. "The effect of buyers and sellers on fish market prices," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 44(1), pages 149-176.
    17. Woodcock, Simon D., 2023. "The determinants of displaced workers’ wages: Sorting, matching, selection, and the Hartz reforms," Journal of Econometrics, Elsevier, vol. 233(2), pages 568-595.
    18. Mittag, Nikolas, 2012. "New methods to estimate models with large sets of fixed effects with an application to matched employer-employee data from Germany," FDZ Methodenreport 201201_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    19. Carneiro, Anabela & Portugal, Pedro & Raposo, Pedro & Rodrigues, Paulo M.M., 2023. "The persistence of wages," Journal of Econometrics, Elsevier, vol. 233(2), pages 596-611.
    20. repec:iab:iabfme:201201(en is not listed on IDEAS
    21. Mittag, Nikolas, 2019. "A simple method to estimate large fixed effects models applied to wage determinants," Labour Economics, Elsevier, vol. 61(C).

    More about this item

    Keywords

    ;
    ;

    JEL classification:

    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

    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:cen:wpaper:23-43. 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: Dawn Anderson (email available below). General contact details of provider: https://edirc.repec.org/data/cesgvus.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.