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Occupation Mobility, Human Capital and the Aggregate Consequences of Task-Biased Innovations

Author

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  • Maximiliano Dvorkin
  • Alexander Monge-Naranjo
Abstract
We construct a dynamic general equilibrium model with occupation mobility, human capital accumulation and endogenous assignment of workers to tasks to quantitatively assess the aggregate impact of automation and other task-biased technological innovations. We extend recent quantitative general equilibrium Roy models to a setting with dynamic occupational choices and human capital accumulation. We provide a set of conditions for the problem of workers to be written in recursive form and provide a sharp characterization for the optimal mobility of individual workers and for the aggregate supply of skills across occupations. We craft our dynamic Roy model in a production setting where multiple tasks within occupations are assigned to workers or machines. We solve for the balanced-growth path and characterize the aggregate transitional dynamics ensuing task-biased technological innovations. In our quantitative analysis of the impact of task-biased innovations in the U.S. since 1980, we find that they account for an increased aggregate output in the order of 75% and for a much higher dispersion in earnings. If the U.S. economy had larger barriers to mobility it would have experienced less job polarization but substantially higher inequality and lower output as occupation mobility has provided an \"escape\" for the losers from automation.

Suggested Citation

  • Maximiliano Dvorkin & Alexander Monge-Naranjo, 2019. "Occupation Mobility, Human Capital and the Aggregate Consequences of Task-Biased Innovations," Working Papers 2019-13, Federal Reserve Bank of St. Louis.
    • Handle: RePEc:fip:fedlwp:2019-013
    DOI: 10.20955/wp.2019.013
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    1. Lillard, Lee A & Willis, Robert J, 1978. "Dynamic Aspects of Earning Mobility," Econometrica, Econometric Society, vol. 46(5), pages 985-1012, September.
    2. David Lagakos & Benjamin Moll & Tommaso Porzio & Nancy Qian & Todd Schoellman, 2018. "Life Cycle Wage Growth across Countries," Journal of Political Economy, University of Chicago Press, vol. 126(2), pages 797-849.
    3. Robert E. Lucas Jr. & Benjamin Moll, 2014. "Knowledge Growth and the Allocation of Time," Journal of Political Economy, University of Chicago Press, vol. 122(1), pages 1-51.
    4. Brent Neiman, 2014. "The Global Decline of the Labor Share," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(1), pages 61-103.
    5. Maarten Goos & Alan Manning & Anna Salomons, 2014. "Explaining Job Polarization: Routine-Biased Technological Change and Offshoring," American Economic Review, American Economic Association, vol. 104(8), pages 2509-2526, August.
    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. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    8. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    9. Arnaud Costinot & Jonathan Vogel, 2010. "Matching and Inequality in the World Economy," Journal of Political Economy, University of Chicago Press, vol. 118(4), pages 747-786, August.
    10. Christopher L. Foote & Richard W. Ryan, 2015. "Labor-Market Polarization over the Business Cycle," NBER Macroeconomics Annual, University of Chicago Press, vol. 29(1), pages 371-413.
    11. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    12. Jonathan Heathcote & Fabrizio Perri & Giovanni L. Violante, 2010. "Unequal We Stand: An Empirical Analysis of Economic Inequality in the United States: 1967-2006," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 13(1), pages 15-51, January.
    13. Lorenzo Caliendo & Maximiliano Dvorkin & Fernando Parro, 2019. "Trade and Labor Market Dynamics: General Equilibrium Analysis of the China Trade Shock," Econometrica, Econometric Society, vol. 87(3), pages 741-835, May.
    14. Greenwood, Jeremy & Hercowitz, Zvi & Krusell, Per, 1997. "Long-Run Implications of Investment-Specific Technological Change," American Economic Review, American Economic Association, vol. 87(3), pages 342-362, June.
    15. repec:oup:qjecon:v:129:y:2013:i:1:p:61-103 is not listed on IDEAS
    16. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2006. "The Polarization of the U.S. Labor Market," American Economic Review, American Economic Association, vol. 96(2), pages 189-194, May.
    17. Gueorgui Kambourov & Iourii Manovskii, 2009. "Occupational Mobility and Wage Inequality," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(2), pages 731-759.
    18. David Lagakos & Michael E. Waugh, 2013. "Selection, Agriculture, and Cross-Country Productivity Differences," American Economic Review, American Economic Association, vol. 103(2), pages 948-980, April.
    19. Simon Galle & Andrés Rodríguez-Clare & Moises Yi, 2023. "Slicing the Pie: Quantifying the Aggregate and Distributional Effects of Trade," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(1), pages 331-375.
    20. 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.
    21. Jonathan Eaton & Samuel Kortum, 2002. "Technology, Geography, and Trade," Econometrica, Econometric Society, vol. 70(5), pages 1741-1779, September.
    22. Daron Acemoglu & Pascual Restrepo, 2017. "Robots and Jobs: Evidence from US Labor Markets," Boston University - Department of Economics - Working Papers Series dp-297, Boston University - Department of Economics.
    23. 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.
    24. MaCurdy, Thomas E., 1982. "The use of time series processes to model the error structure of earnings in a longitudinal data analysis," Journal of Econometrics, Elsevier, vol. 18(1), pages 83-114, January.
    25. Kambourov, Gueorgui & Manovskii, Iourii, 2013. "A Cautionary Note On Using (March) Current Population Survey And Panel Study Of Income Dynamics Data To Study Worker Mobility," Macroeconomic Dynamics, Cambridge University Press, vol. 17(1), pages 172-194, January.
    26. 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.
    27. Erzo G. J. Luttmer, 2007. "Selection, Growth, and the Size Distribution of Firms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1103-1144.
    28. Alvarez, Fernando & Stokey, Nancy L., 1998. "Dynamic Programming with Homogeneous Functions," Journal of Economic Theory, Elsevier, vol. 82(1), pages 167-189, September.
    29. Gueorgui Kambourov & Iourii Manovskii, 2008. "Rising Occupational And Industry Mobility In The United States: 1968-97," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 49(1), pages 41-79, February.
    30. Chang‐Tai Hsieh & Erik Hurst & Charles I. Jones & Peter J. Klenow, 2019. "The Allocation of Talent and U.S. Economic Growth," Econometrica, Econometric Society, vol. 87(5), pages 1439-1474, September.
    31. Donghoon Lee & Kenneth I. Wolpin, 2006. "Intersectoral Labor Mobility and the Growth of the Service Sector," Econometrica, Econometric Society, vol. 74(1), pages 1-46, January.
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    Cited by:

    1. KIKUCHI Shinnosuke & KITAO Sagiri, 2020. "Welfare Effects of Polarization: Occupational Mobility over the Life-cycle," Discussion papers 20043, Research Institute of Economy, Trade and Industry (RIETI).
    2. Banfi, Stefano & Choi, Sekyu & Villena-Roldán, Benjamín, 2022. "Sorting on-line and on-time," European Economic Review, Elsevier, vol. 146(C).
    3. Jan Eeckhout & Christoph Hedtrich & Roberto Pinheiro, 2021. "IT and Urban Polarization," Working Papers 21-18, Federal Reserve Bank of Cleveland.
    4. Maximiliano Dvorkin, 2023. "Heterogeneous Agents Dynamic Spatial General Equilibrium," Working Papers 2023-005, Federal Reserve Bank of St. Louis.
    5. Santiago Garcia-Couto, 2020. "Beyond Labor Market Polarization," 2020 Papers pga567, Job Market Papers.
    6. Maliar, Lilia & Maliar, Serguei & Tsener, Inna, 2022. "Capital-skill complementarity and inequality: Twenty years after," Economics Letters, Elsevier, vol. 220(C).
    7. Freund, L. B., 2022. "Superstar Teams: The Micro Origins and Macro Implications of Coworker Complementarities," Cambridge Working Papers in Economics 2276, Faculty of Economics, University of Cambridge.
    8. Hong Cheng & Lukasz A. Drozd & Rahul Giri & Mathieu Taschereau-Dumouchel & Junjie Xia, 2021. "The Future of Labor: Automation and the Labor Share in the Second Machine Age," Working Papers 20-11, Federal Reserve Bank of Philadelphia.
    9. Rodrigo Adão & Martin Beraja & Nitya Pandalai-Nayar, 2020. "Technological Transitions with Skill Heterogeneity Across Generations," NBER Working Papers 26625, National Bureau of Economic Research, Inc.
    10. Wacks, Johannes, 2021. "Labor Market Polarization with Hand-to-Mouth Households," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242391, Verein für Socialpolitik / German Economic Association.

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    More about this item

    Keywords

    Dynamic Roy models; automation; human capital; aggregation; general equilibrium;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E25 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Aggregate Factor Income Distribution
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • 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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