IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/23224.html
   My bibliography  Save this paper

Earnings Inequality and Mobility Trends in the United States: Nationally Representative Estimates from Longitudinally Linked Employer-Employee Data

Author

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

Abstract

Using earnings data from the U.S. Census Bureau, this paper analyzes the role of the employer in explaining the rise in earnings inequality in the United States. We first establish a consistent frame of analysis appropriate for administrative data used to study earnings inequality. We show that the trends in earnings inequality in the administrative data from the Longitudinal Employer-Household Dynamics Program are inconsistent with other data sources when we do not correct for the presence of misused SSNs. After this correction to the worker frame, we analyze how the earnings distribution has changed in the last decade. We present a decomposition of the year-to-year changes in the earnings distribution from 2004-2013. Even when simplifying these flows to movements between the bottom 20%, the middle 60%, and the top 20% of the earnings distribution, about 20.5 million workers undergo a transition each year. Another 19.9 million move between employment and non-employment. To understand the role of the firm in these transitions, we estimate a model for log earnings with additive fixed worker and firm effects using all jobs held by eligible workers from 2004-2013. We construct a composite log earnings firm component across all jobs for a worker in a given year and a non-firm component. We also construct a skill-type index. We show that, while the difference between working at a low- or middle-paying firm are relatively small, the gains from working at a top-paying firm are large. Specifically, the benefits of working for a high-paying firm are not only realized today, through higher earnings paid to the worker, but also persist through an increase in the probability of upward mobility. High-paying firms facilitate moving workers to the top of the earnings distribution and keeping them there.

Suggested Citation

  • John M. Abowd & Kevin L. McKinney & Nellie L. Zhao, 2017. "Earnings Inequality and Mobility Trends in the United States: Nationally Representative Estimates from Longitudinally Linked Employer-Employee Data," NBER Working Papers 23224, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:23224
    Note: LS
    as

    Download full text from publisher

    File URL: https://www.nber.org/papers/w23224.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. David Card & Jörg Heining & Patrick Kline, 2013. "Workplace Heterogeneity and the Rise of West German Wage Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(3), pages 967-1015.
    2. Jacobson, Louis S & LaLonde, Robert J & Sullivan, Daniel G, 1993. "Earnings Losses of Displaced Workers," American Economic Review, American Economic Association, vol. 83(4), pages 685-709, September.
    3. 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.
    4. Joseph G. Altonji & Anthony A. Smith Jr. & Ivan Vidangos, 2013. "Modeling Earnings Dynamics," Econometrica, Econometric Society, vol. 81(4), pages 1395-1454, July.
    5. Michael Baker & Gary Solon, 2003. "Earnings Dynamics and Inequality among Canadian Men, 1976-1992: Evidence from Longitudinal Income Tax Records," Journal of Labor Economics, University of Chicago Press, vol. 21(2), pages 267-288, April.
    6. Katz, Lawrence F. & Autor, David H., 1999. "Changes in the wage structure and earnings inequality," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 26, pages 1463-1555, Elsevier.
    7. John M. Abowd & Francis Kramarz & David N. Margolis, 1999. "High Wage Workers and High Wage Firms," Econometrica, Econometric Society, vol. 67(2), pages 251-334, March.
    8. Abowd, John M. & Vilhuber, Lars, 2011. "National estimates of gross employment and job flows from the Quarterly Workforce Indicators with demographic and industry detail," Journal of Econometrics, Elsevier, vol. 161(1), pages 82-99, March.
    9. Juhn, Chinhui & Murphy, Kevin M & Pierce, Brooks, 1993. "Wage Inequality and the Rise in Returns to Skill," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 410-442, June.
    10. John M. Abowd & Bryce E. Stephens & Lars Vilhuber & Fredrik Andersson & Kevin L. McKinney & Marc Roemer & Simon Woodcock, 2009. "The LEHD Infrastructure Files and the Creation of the Quarterly Workforce Indicators," NBER Chapters, in: Producer Dynamics: New Evidence from Micro Data, pages 149-230, National Bureau of Economic Research, Inc.
    11. J. David Brown & Julie L. Hotchkiss & Myriam Quispe-Agnoli, 2013. "Does Employing Undocumented Workers Give Firms A Competitive Advantage?," Journal of Regional Science, Wiley Blackwell, vol. 53(1), pages 158-170, February.
    12. 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.
    13. Stevens, Ann Huff, 1997. "Persistent Effects of Job Displacement: The Importance of Multiple Job Losses," Journal of Labor Economics, University of Chicago Press, vol. 15(1), pages 165-188, January.
    14. Robert E. Hall, 2006. "Job Loss, Job Finding and Unemployment in the US Economy over the Past Fifty Years," NBER Chapters, in: NBER Macroeconomics Annual 2005, Volume 20, pages 101-166, National Bureau of Economic Research, Inc.
    15. John M. Abowd & Martha H. Stinson, 2013. "Estimating Measurement Error in Annual Job Earnings: A Comparison of Survey and Administrative Data," The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1451-1467, December.
    16. Barry T. Hirsch & Muhammad M. Husain & John V. Winters, 2016. "Multiple job holding, local labor markets, and the business cycle," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-29, December.
    17. Emmanuel Saez, 2013. "Striking it Richer: The Evolution of Top Incomes in the United States (Updated with 2011 preliminary estimates)," Technical Notes 201301, World Inequality Lab.
    18. Emmanuel Saez, 2015. "Striking it Richer: The Evolution of Top Incomes in the United States (Updated with 2014 preliminary estimates)," Technical Notes 201506, World Inequality Lab.
    19. Emmanuel Saez, 2013. "Striking it Richer: The Evolution of Top Incomes in the United States (Updated with 2012 preliminary estimates)," Technical Notes 201303, World Inequality Lab.
    20. 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.
    21. Levy, Frank & Murnane, Richard J, 1992. "U.S. Earnings Levels and Earnings Inequality: A Review of Recent Trends and Proposed Explanations," Journal of Economic Literature, American Economic Association, vol. 30(3), pages 1333-1381, September.
    22. Emmanuel Saez, 2015. "Striking it Richer: The Evolution of Top Incomes in the United States (Updated with 2013 preliminary estimates)," Technical Notes 201501, World Inequality Lab.
    23. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881, September.
    24. Wojciech Kopczuk & Emmanuel Saez & Jae Song, 2010. "Earnings Inequality and Mobility in the United States: Evidence from Social Security Data Since 1937," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 91-128.
    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. 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. Hyatt, Henry R. & Spletzer, James R., 2017. "The recent decline of single quarter jobs," Labour Economics, Elsevier, vol. 46(C), pages 166-176.
    3. Rasmus Lentz & Jean Marc Robin & Suphanit Piyapromdee, 2018. "On Worker and Firm Heterogeneity in Wages and Employment Mobility: Evidence from Danish Register Data," 2018 Meeting Papers 469, Society for Economic Dynamics.
    4. Colja Schneck, 2021. "Trends in Wage Inequality in the Netherlands," De Economist, Springer, vol. 169(3), pages 253-289, August.
    5. James Spletzer & Elizabeth Weber Handwerker, 2015. "The Role of Establishments and the Concentration of Occupations in Wage Inequality," Working Papers id:7427, eSocialSciences.
    6. David Card & Ana Rute Cardoso & Joerg Heining & Patrick Kline, 2018. "Firms and Labor Market Inequality: Evidence and Some Theory," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 13-70.
    7. Jorge Pérez Pérez & José G. Nuño-Ledesma, 2024. "Workers, Workplaces, Sorting, and Wage Dispersion in Mexico," Working Papers 2024-06, Banco de México.
    8. Engbom, Niklas & Moser, Christian & Sauermann, Jan, 2023. "Firm pay dynamics," Journal of Econometrics, Elsevier, vol. 233(2), pages 396-423.
    9. Arellano-Bover, Jaime & Saltiel, Fernando, 2021. "Differences in On-the-Job Learning across Firms," IZA Discussion Papers 14473, Institute of Labor Economics (IZA).
    10. Huitfeldt, Ingrid & Kostøl, Andreas R. & Nimczik, Jan & Weber, Andrea, 2023. "Internal labor markets: A worker flow approach," Journal of Econometrics, Elsevier, vol. 233(2), pages 661-688.
    11. Paul Brandily & Camille Hémet & Clément Malgouyres, 2022. "Understanding the Reallocation of Displaced Workers to Firms," Working Papers halshs-03082302, HAL.
    12. Ata Can Bertay & Jose Gabo Carreno & Harry Huizinga & Burak Uras & Nathanael Vellekoop, 2022. "Technological Change and the Finance Wage Premium," Working Papers tecipa-738, University of Toronto, Department of Economics.
    13. Barth, Erling & Kerr, Sari Pekkala & Olivetti, Claudia, 2021. "The dynamics of gender earnings differentials: Evidence from establishment data," European Economic Review, Elsevier, vol. 134(C).
    14. Bayer, Christian & Kuhn, Moritz, 2018. "Which Ladder to Climb? Decomposing Life Cycle Wage Dynamics," CEPR Discussion Papers 13158, C.E.P.R. Discussion Papers.
    15. Babina, Tania & Ma, Wenting & Moser, Christian & Ouimet, Paige & Zarutskie, Rebecca, 2019. "Pay, Employment, and Dynamics of Young Firms," MPRA Paper 95382, University Library of Munich, Germany.
    16. Rongsheng Tang & Yang Tang & Ping Wang, 2020. "Within-Job Wage Inequality: Performance Pay and Job Relatedness," NBER Working Papers 27390, National Bureau of Economic Research, Inc.
    17. Nicholas Bloom & Scott W. Ohlmacher & Cristina J. Tello-Trillo & Melanie Wallskog, 2021. "Pay, Productivity and Management," NBER Working Papers 29377, National Bureau of Economic Research, Inc.
    18. David Card & Dean R. Hyslop, 2018. "Female Earnings Inequality: The Changing Role of Family Characteristics on the Extensive and Intensive Margins," NBER Working Papers 25387, National Bureau of Economic Research, Inc.
    19. Winkler, Erwin, 2020. "Diverging paths: Labor reallocation, sorting, and wage inequality," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224535, Verein für Socialpolitik / German Economic Association.

    More about this item

    JEL classification:

    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs
    • J6 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers
    • M5 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics

    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:nbr:nberwo:23224. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.