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RBTC and Human Capital: Accounting for Individual-Level Responses

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  • Daniil Kashkarov

Abstract

I test the contribution of individual human capital responses to earnings inequality arising in the process of the routine-biased technological change (RBTC). I develop a lifecycle model of human capital and occupational choice, calibrate it to the NLSY79 data, using the price series for human capital in abstract and routine occupations estimated from the cross-sectional CPS data with the “flat spot” approach. I then use the model to quantify the effect of a change in human capital prices on earnings inequality. I find that an increase in the price for human capital in abstract occupations and a fall in its price in routine occupations associated with RBTC has a modest contribution to the evolution of variance of log-earnings — up to 10.8 per cent by the end of the working life cycle. However, the contribution of RBTC to an increase in the abstract wage premium over the lifetime of the NLSY79 cohorts is up to 28.6 per cent. The growth of the abstract wage premium is significantly dampened by the human capital responses of workers switching from routine occupations.

Suggested Citation

  • Daniil Kashkarov, 2022. "RBTC and Human Capital: Accounting for Individual-Level Responses," CERGE-EI Working Papers wp721, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    • Handle: RePEc:cer:papers:wp721
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    1. David Autor & David Dorn, 2009. "This Job Is "Getting Old": Measuring Changes in Job Opportunities Using Occupational Age Structure," American Economic Review, American Economic Association, vol. 99(2), pages 45-51, May.
    2. Guy Michaels & Ashwini Natraj & John Van Reenen, 2010. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over 25 Years," CEP Discussion Papers dp0987, Centre for Economic Performance, LSE.
    3. David H. Autor & David Dorn & Gordon H. Hanson, 2013. "The China Syndrome: Local Labor Market Effects of Import Competition in the United States," American Economic Review, American Economic Association, vol. 103(6), pages 2121-2168, October.
    4. Maya Eden & Paul Gaggl, 2018. "On the Welfare Implications of Automation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 29, pages 15-43, July.
    5. Hendricks, Lutz & Schoellman, Todd, 2014. "Student abilities during the expansion of US education," Journal of Monetary Economics, Elsevier, vol. 63(C), pages 19-36.
    6. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    7. Flavio Cunha & James J. Heckman, 2007. "The Evolution of Inequality, Heterogeneity and Uncertainty in Labor Earnings in the U.S. Economy," NBER Working Papers 13526, National Bureau of Economic Research, Inc.
    8. Nordhaus, William D., 2007. "Two Centuries of Productivity Growth in Computing," The Journal of Economic History, Cambridge University Press, vol. 67(1), pages 128-159, March.
    9. Huggett, Mark & Ventura, Gustavo & Yaron, Amir, 2006. "Human capital and earnings distribution dynamics," Journal of Monetary Economics, Elsevier, vol. 53(2), pages 265-290, March.
    10. Maarten Goos & Alan Manning, 2007. "Lousy and Lovely Jobs: The Rising Polarization of Work in Britain," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 118-133, February.
    11. Kevin Donovan & Christopher Herrington, 2019. "Factors Affecting College Attainment and Student Ability in the U.S. since 1900," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 31, pages 224-244, January.
    12. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    13. Guido Matias Cortes, 2016. "Where Have the Middle-Wage Workers Gone? A Study of Polarization Using Panel Data," Journal of Labor Economics, University of Chicago Press, vol. 34(1), pages 63-105.
    14. Audra J. Bowlus & Chris Robinson, 2012. "Human Capital Prices, Productivity, and Growth," American Economic Review, American Economic Association, vol. 102(7), pages 3483-3515, December.
    15. Firpo, Sergio & Fortin, Nicole M. & Lemieux, Thomas, 2011. "Occupational Tasks and Changes in the Wage Structure," IZA Discussion Papers 5542, Institute of Labor Economics (IZA).
    16. Kong, Y.-C. & Ravikumar, B. & Vandenbroucke, G., 2018. "Explaining cross-cohort differences in life-cycle earnings," European Economic Review, Elsevier, vol. 107(C), pages 157-184.
    17. Jaeger, David A, 1997. "Reconciling the Old and New Census Bureau Education Questions: Recommendations for Researchers," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(3), pages 300-309, July.
    18. Per Krusell & Lee E. Ohanian & JosÈ-Victor RÌos-Rull & Giovanni L. Violante, 2000. "Capital-Skill Complementarity and Inequality: A Macroeconomic Analysis," Econometrica, Econometric Society, vol. 68(5), pages 1029-1054, September.
    19. 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.
    20. James Heckman & Lance Lochner & Christopher Taber, 1998. "Explaining Rising Wage Inequality: Explanations With A Dynamic General Equilibrium Model of Labor Earnings With Heterogeneous Agents," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 1(1), pages 1-58, January.
    21. Kevin Donovan & Christopher Herrington, 2019. "Factors Affecting College Attainment and Student Ability in the U.S. since 1900," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 31, pages 224-244, January.
    22. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2008. "Trends in U.S. Wage Inequality: Revising the Revisionists," The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 300-323, May.
    23. Jeffrey D. Sachs & Laurence J. Kotlikoff, 2012. "Smart Machines and Long-Term Misery," NBER Working Papers 18629, National Bureau of Economic Research, Inc.
    24. Yoram Ben-Porath, 1967. "The Production of Human Capital and the Life Cycle of Earnings," Journal of Political Economy, University of Chicago Press, vol. 75(4), pages 352-352.
    25. Jeffrey D. Sachs & Seth G. Benzell & Guillermo LaGarda, 2015. "Robots: Curse or Blessing? A Basic Framework," NBER Working Papers 21091, National Bureau of Economic Research, Inc.
    26. Guy Michaels & Ashwini Natraj & John Van Reenen, 2014. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over Twenty-Five Years," The Review of Economics and Statistics, MIT Press, vol. 96(1), pages 60-77, March.
    27. A. D. Roy, 1951. "Some Thoughts On The Distribution Of Earnings," Oxford Economic Papers, Oxford University Press, vol. 3(2), pages 135-146.
    28. Cortes, Guido Matias & Jaimovich, Nir & Siu, Henry E., 2017. "Disappearing routine jobs: Who, how, and why?," Journal of Monetary Economics, Elsevier, vol. 91(C), pages 69-87.
    29. Costas Cavounidis & Kevin Lang, 2020. "Ben-Porath Meets Lazear: Microfoundations for Dynamic Skill Formation," Journal of Political Economy, University of Chicago Press, vol. 128(4), pages 1405-1435.
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    More about this item

    Keywords

    RBTC; human capital; life-cycle modelling; NLSY79; AFQT;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • D15 - Microeconomics - - Household Behavior - - - Intertemporal Household Choice; Life Cycle Models and Saving
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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