IDEAS home Printed from https://ideas.repec.org/h/nbr/nberch/13716.html
   My bibliography  Save this book chapter

Augmenting the Human Capital Earnings Equation with Measures of Where People Work

In: Firms and the Distribution of Income: The Roles of Productivity and Luck

Author

Listed:
  • Erling Barth
  • James Davis
  • Richard B. Freeman

Abstract

We augment standard ln earnings equations with variables reflecting unmeasured attributes of workers and measured and unmeasured attributes of their employer. Using panel employee-establishment data for US manufacturing we find that the observable employer characteristics that most impact earnings are: number of workers, education of co-workers, capital equipment per worker, industry in which the establishment produces, and R&D intensity of the firm. Employer fixed effects also contribute to the variance of ln earnings, though substantially less than individual fixed effects. In addition to accounting for some of the variance in earnings, the observed and unobserved measures of employers mediate the estimated effects of individual characteristics on earnings and increasing earnings inequality through the sorting of workers among establishments.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Erling Barth & James Davis & Richard B. Freeman, 2015. "Augmenting the Human Capital Earnings Equation with Measures of Where People Work," NBER Chapters, in: Firms and the Distribution of Income: The Roles of Productivity and Luck, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberch:13716
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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, Oxford University Press, vol. 128(3), pages 967-1015.
    2. Gruetter, Max & Lalive, Rafael, 2009. "The importance of firms in wage determination," Labour Economics, Elsevier, vol. 16(2), pages 149-160, April.
    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. David Card & Francesco Devicienti & Agata Maida, 2014. "Rent-sharing, Holdup, and Wages: Evidence from Matched Panel Data," Review of Economic Studies, Oxford University Press, vol. 81(1), pages 84-111.
    5. Pedro Martins, 2009. "Rent sharing before and after the wage bill," Applied Economics, Taylor & Francis Journals, vol. 41(17), pages 2133-2151.
    6. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    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. Freeman, Richard B, 1984. "Longitudinal Analyses of the Effects of Trade Unions," Journal of Labor Economics, University of Chicago Press, vol. 2(1), pages 1-26, January.
    9. Moene, Karl Ove & Wallerstein, Michael, 1997. "Pay Inequality," Journal of Labor Economics, University of Chicago Press, vol. 15(3), pages 403-430, July.
    10. Mendes, Rute & van den Berg, Gerard J. & Lindeboom, Maarten, 2010. "An empirical assessment of assortative matching in the labor market," Labour Economics, Elsevier, vol. 17(6), pages 919-929, December.
    11. Erling Barth & Alex Bryson & James C. Davis & Richard Freeman, 2016. "It's Where You Work: Increases in the Dispersion of Earnings across Establishments and Individuals in the United States," Journal of Labor Economics, University of Chicago Press, vol. 34(S2), pages 67-97.
    12. Brown, Charles & Medoff, James, 1989. "The Employer Size-Wage Effect," Journal of Political Economy, University of Chicago Press, vol. 97(5), pages 1027-1059, October.
    13. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    14. Dale T. Mortensen & Bent Jesper Christensen & Jesper Bagger, 2010. "Wage and Productivity Dispersion: Labor Quality or Rent Sharing?," 2010 Meeting Papers 758, Society for Economic Dynamics.
    15. Lucia Foster & Cheryl Grim & John Haltiwanger, 2016. "Reallocation in the Great Recession: Cleansing or Not?," Journal of Labor Economics, University of Chicago Press, vol. 34(S1), pages 293-331.
    16. Hellerstein, Judith K & Neumark, David & Troske, Kenneth R, 1999. "Wages, Productivity, and Worker Characteristics: Evidence from Plant-Level Production Functions and Wage Equations," Journal of Labor Economics, University of Chicago Press, vol. 17(3), pages 409-446, July.
    17. Edward P. Lazear & Kathryn L. Shaw, 2009. "The Structure of Wages: An International Comparison," NBER Books, National Bureau of Economic Research, Inc, number laze08-1.
    18. M. J. Andrews & L. Gill & T. Schank & R. Upward, 2008. "High wage workers and low wage firms: negative assortative matching or limited mobility bias?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(3), pages 673-697, June.
    19. Abowd, John M. & Haltiwanger, John C. & Lane, Julia & McKinney, Kevin Lee & Sandusky, L. Kristin, 2007. "Technology and the Demand for Skill: An Analysis of Within and Between Firm Differences," IZA Discussion Papers 2707, Institute of Labor Economics (IZA).
    20. Lane, Julia I. & Salmon, Laurie A. & Spletzer, James R., 2007. "Establishment Wage Differentials," Working Papers 403, U.S. Bureau of Labor Statistics.
    21. Erica L. Groshen, 1991. "Sources of Intra-Industry Wage Dispersion: How Much Do Employers Matter?," The Quarterly Journal of Economics, Oxford University Press, vol. 106(3), pages 869-884.
    Full references (including those not matched with items on IDEAS)

    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Augmenting the Human Capital Earnings Equation with Measures of Where People Work
      by maximorossi in NEP-LTV blog on 2016-09-06 01:17:09

    Citations

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


    Cited by:

    1. Ai Oku & Shun Inoue & Tsubasa Masui, 2020. "Does Firm Size Effect Wages and Labor productivity? -Micro data analysis in case of Japan-," Discussion papers ron320, Policy Research Institute, Ministry of Finance Japan.
    2. Erling Barth & James C. Davis & Richard B. Freeman & Kristina McElheran, 2020. "Twisting the Demand Curve: Digitalization and the Older Workforce," Working Papers 20-37, Center for Economic Studies, U.S. Census Bureau.
    3. Knutsson, Polina, 2018. "Sorting on Unobserved Skills into New Firms," Working Papers 2018:38, Lund University, Department of Economics.
    4. Giuseppe Berlingieri & Sara Calligaris & Chiara Criscuolo, 2018. "The Productivity-Wage Premium: Does Size Still Matter in a Service Economy?," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 328-333, May.
    5. Nathan Goldschlag & Ron Jarmin & Julia Lane & Nikolas Zolas, 2019. "Research Experience as Human Capital in New Business Outcomes," NBER Chapters, in: Measuring and Accounting for Innovation in the Twenty-First Century, National Bureau of Economic Research, Inc.
    6. John Haltiwanger & Henry Hyatt & Erika McEntarfer, 2018. "Who Moves Up the Job Ladder?," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 301-336.
    7. Molina-Domene, Maria, 2018. "Specialization matters in the firm size-wage gap," LSE Research Online Documents on Economics 88696, London School of Economics and Political Science, LSE Library.
    8. Jin Seo Cho & Peter C. B. Phillips & Juwon Seo, 2019. "Parametric Inference on the Mean of Functional Data Applied to Lifetime Income Curves," Working papers 2019rwp-153, Yonsei University, Yonsei Economics Research Institute.
    9. Maria Molina-Domene, 2018. "Specialization matters in the firm size-wage gap," CEP Discussion Papers dp1545, Centre for Economic Performance, LSE.

    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. 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.
    2. Erling Barth & Alex Bryson & James C. Davis & Richard Freeman, 2016. "It's Where You Work: Increases in the Dispersion of Earnings across Establishments and Individuals in the United States," Journal of Labor Economics, University of Chicago Press, vol. 34(S2), pages 67-97.
    3. Patrick Kline & Raffaele Saggio & Mikkel Sølvsten, 2020. "Leave‐Out Estimation of Variance Components," Econometrica, Econometric Society, vol. 88(5), pages 1859-1898, September.
    4. Dobbelaere, Sabien & Mairesse, Jacques, 2018. "Comparing micro-evidence on rent sharing from two different econometric models," Labour Economics, Elsevier, vol. 52(C), pages 18-26.
    5. Richard Duhautois & Fabrice Gilles & Héloïse Petit, 2009. "Worker flows, job flows and establishment wage differentials: Analysing the case of France," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00646440, HAL.
    6. Niklas Engbom & Christian Moser, 2017. "Returns to Education through Access to Higher-Paying Firms: Evidence from US Matched Employer-Employee Data," American Economic Review, American Economic Association, vol. 107(5), pages 374-378, May.
    7. Barth, Erling & Bryson, Alex & Davis, James C. & Freeman, Richard, 2014. "It’s where you work: increases in earnings dispersion across establishments and individuals in the US," LSE Research Online Documents on Economics 60604, London School of Economics and Political Science, LSE Library.
    8. Richard Duhautois & Fabrice Gilles & Héloïse Petit, 2012. "Worker flows and establishment wage differentials : a breakdown of the relationship," Post-Print hal-00833872, HAL.
    9. Van Biesebroeck, Johannes, 2011. "Wages Equal Productivity. Fact or Fiction? Evidence from Sub Saharan Africa," World Development, Elsevier, vol. 39(8), pages 1333-1346, August.
    10. Jorge Alvarez & Felipe Benguria & Niklas Engbom & Christian Moser, 2018. "Firms and the Decline in Earnings Inequality in Brazil," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(1), pages 149-189, January.
    11. David Card & Jörg Heining & Patrick Kline, 2013. "Workplace Heterogeneity and the Rise of West German Wage Inequality," The Quarterly Journal of Economics, Oxford University Press, vol. 128(3), pages 967-1015.
    12. Torres, Sónia & Portugal, Pedro & Addison, John T. & Guimarães, Paulo, 2018. "The sources of wage variation and the direction of assortative matching: Evidence from a three-way high-dimensional fixed effects regression model," Labour Economics, Elsevier, vol. 54(C), pages 47-60.
    13. Torben Sørensen & Rune Vejlin, 2013. "The importance of worker, firm and match effects in the formation of wages," Empirical Economics, Springer, vol. 45(1), pages 435-464, August.
    14. W. Bentley MacLeod & Miguel Urquiola, 2018. "Is Education Consumption or Investment? Implications for the Effect of School Competition," NBER Working Papers 25117, National Bureau of Economic Research, Inc.
    15. Jae Song & David J Price & Fatih Guvenen & Nicholas Bloom & Till von Wachter, 2019. "Firming Up Inequality," The Quarterly Journal of Economics, Oxford University Press, vol. 134(1), pages 1-50.
    16. Cristian Bartolucci & Francesco Devicienti, 2012. "Better Workers Move to Better Firms: A Simple Test to Identify Sorting," Carlo Alberto Notebooks 259, Collegio Carlo Alberto.
    17. da Silveira, Jaylson Jair & Lima, Gilberto Tadeu, 2021. "Wage inequality as a source of endogenous macroeconomic fluctuations," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 35-52.
    18. Philip Du Caju & François Rycx & Ilan Tojerow, 2011. "Inter‐Industry Wage Differentials: How Much Does Rent Sharing Matter?," Manchester School, University of Manchester, vol. 79(4), pages 691-717, July.
    19. Elizabeth Weber Handwerker & James R. Spletzer, 2016. "The Role of Establishments and the Concentration of Occupations in Wage Inequality," Research in Labor Economics, in: Lorenzo Cappellari & Solomon W. Polachek & Konstantinos Tatsiramos (ed.), Inequality: Causes and Consequences, volume 43, pages 167-193, Emerald Publishing Ltd.
    20. 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.

    More about this item

    JEL classification:

    • J0 - Labor and Demographic Economics - - General
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs
    • J40 - Labor and Demographic Economics - - Particular Labor Markets - - - General

    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:nberch:13716. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    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: (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 hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.