IDEAS home Printed from https://ideas.repec.org/p/eti/dpaper/20043.html
   My bibliography  Save this paper

Welfare Effects of Polarization: Occupational Mobility over the Life-cycle

Author

Listed:
  • KIKUCHI Shinnosuke
  • KITAO Sagiri

Abstract

The U.S. labor market has experienced polarization over the past several decades, where employment and wages of middle-class individuals have declined relative to those of low- and high-skill groups. What are the welfare effects of such a structural change? We build an overlapping generations model of individuals who choose consumption, savings, labor supply, and occupations over their life-cycles, and accumulate human capital, as they face uncertainty about labor productivity and longevity as well as the probability of exogenous separation from their current occupations. The model is parameterized to account for life-cycle patterns of occupational distribution and mobility in the early 1980s. We simulate a wage shift as observed in the data during the following decades, investigate individuals' responses, and quantify welfare effects across heterogeneous groups of individuals. Polarization is shown to improve welfare of young individuals that are high-skilled, while it hurts low-skilled individuals across all working ages and especially younger ones. The high-skilled gain is larger for generations entering in later periods, who can fully exploit the rising skill premium. We also evaluate changes in inequality and show how polarization leads to a rise in skill premium, increasing inequality in life-cycle earnings and wealth across individuals.

Suggested Citation

  • 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).
  • Handle: RePEc:eti:dpaper:20043
    as

    Download full text from publisher

    File URL: https://www.rieti.go.jp/jp/publications/dp/20e043.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. Zsófia L. Bárány & Christian Siegel, 2018. "Job Polarization and Structural Change," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(1), pages 57-89, January.
    4. 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.
    5. 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.
    6. David H. Autor & Mark G. Duggan, 2003. "The Rise in the Disability Rolls and the Decline in Unemployment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 157-206.
    7. Kitao, Sagiri, 2014. "A life-cycle model of unemployment and disability insurance," Journal of Monetary Economics, Elsevier, vol. 68(C), pages 1-18.
    8. Jonathan Heathcote & Kjetil Storesletten & Giovanni L. Violante, 2010. "The Macroeconomic Implications of Rising Wage Inequality in the United States," Journal of Political Economy, University of Chicago Press, vol. 118(4), pages 681-722, August.
    9. 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.
    10. Seth G. Benzell & Laurence J. Kotlikoff & Guillermo LaGarda & Jeffrey D. Sachs, 2015. "Robots Are Us: Some Economics of Human Replacement," NBER Working Papers 20941, National Bureau of Economic Research, Inc.
    11. 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.
    12. Simona E. Cociuba & James C. MacGee, 2018. "Demographics and Sectoral Reallocations: A Search Theory with Immobile Workers," University of Western Ontario, Departmental Research Report Series 20182, University of Western Ontario, Department of Economics.
    13. Seth G. Benzell & Laurence J. Kotlikoff & Guillermo LaGarda & Jeffrey D. Sachs, 2015. "Robots Are Us: Some Economics of Human Replacement," NBER Working Papers 20941, National Bureau of Economic Research, Inc.
    14. Jeffrey D. Sachs & Laurence J. Kotlikoff, 2012. "Smart Machines and Long-Term Misery," NBER Working Papers 18629, National Bureau of Economic Research, Inc.
    15. Mark Aguiar & Erik Hurst, 2013. "Deconstructing Life Cycle Expenditure," Journal of Political Economy, University of Chicago Press, vol. 121(3), pages 437-492.
    16. Katharine G. Abraham & Melissa S. Kearney, 2020. "Explaining the Decline in the US Employment-to-Population Ratio: A Review of the Evidence," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 585-643, September.
    17. repec:hal:spmain:info:hdl:2441/4t83lre9hm91sq006n4940n19s is not listed on IDEAS
    18. Baum-Snow, Nathaniel & Neal, Derek, 2009. "Mismeasurement of usual hours worked in the census and ACS," Economics Letters, Elsevier, vol. 102(1), pages 39-41, January.
    19. 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.
    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. Santiago Garcia-Couto, 2020. "Beyond Labor Market Polarization," 2020 Papers pga567, Job Market Papers.
    2. 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.

    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. Cortes, Guido Matias & Jaimovich, Nir & Nekarda, Christopher J. & Siu, Henry E., 2020. "The dynamics of disappearing routine jobs: A flows approach," Labour Economics, Elsevier, vol. 65(C).
    2. Guido Matias Cortes & Giovanni Gallipoli, 2018. "The Costs of Occupational Mobility: An Aggregate Analysis," Journal of the European Economic Association, European Economic Association, vol. 16(2), pages 275-315.
    3. Diego Comin & Ana Danieli & Martí Mestieri, 2020. "Income-Driven Labor-Market Polarization," Working Paper Series WP-2020-22, Federal Reserve Bank of Chicago.
    4. van der Velde, Lucas, 2022. "Phasing out: Routine tasks and retirement," Journal of Comparative Economics, Elsevier, vol. 50(3), pages 784-803.
    5. Lucas van der Velde, 2020. "Within Occupation Wage Dispersion and the Task Content of Jobs," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(5), pages 1161-1197, October.
    6. 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.
    7. Maarek, Paul & Moiteaux, Elliot, 2021. "Polarization, employment and the minimum wage: Evidence from European local labor markets," Labour Economics, Elsevier, vol. 73(C).
    8. Da Silva, António Dias & Laws, Athene & Petroulakis, Filippos, 2019. "Hours of work polarisation?," Working Paper Series 2324, European Central Bank.
    9. Fierro, Luca Eduardo & Caiani, Alessandro & Russo, Alberto, 2022. "Automation, Job Polarisation, and Structural Change," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 499-535.
    10. Maarten Goos & Melanie Arntz & Ulrich Zierahn & Terry Gregory & Stephanie Carretero Gomez & Ignacio Gonzalez Vazquez & Koen Jonkers, 2019. "The Impact of Technological Innovation on the Future of Work," JRC Working Papers on Labour, Education and Technology 2019-03, Joint Research Centre.
    11. Genz, Sabrina & Schnabel, Claus, 2021. "Digging into the digital divide: Workers' exposure to digitalization and its consequences for individual employment," Discussion Papers 118, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    12. Guido Matias Cortes & Giovanni Gallipoli, 2014. "The Costs of Occupational Mobility: An Aggregate Analysis," Working Papers 2014-015, Human Capital and Economic Opportunity Working Group.
    13. 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.
    14. Terhi Maczulskij, 2019. "Occupational Mobility of Routine Workers," Working Papers 327, Työn ja talouden tutkimus LABORE, The Labour Institute for Economic Research LABORE.
    15. Iftekhairul Islam & Fahad Shaon, 2020. "If the Prospect of Some Occupations Are Stagnating With Technological Advancement? A Task Attribute Approach to Detect Employment Vulnerability," Papers 2001.02783, arXiv.org.
    16. David Hémous & Morten Olsen, 2022. "The Rise of the Machines: Automation, Horizontal Innovation, and Income Inequality," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(1), pages 179-223, January.
    17. Vahagn Jerbashian, 2019. "Automation and Job Polarization: On the Decline of Middling Occupations in Europe," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(5), pages 1095-1116, October.
    18. Younjun Kim & Eric Thompson, 2021. "Routine-Biased Technological Change and Declining Employment Rate of Immigrants," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 47(3), pages 319-353, June.
    19. Heyman, Fredrik & Olsson, Martin, 2022. "Long-Run Effects of Technological Change: The Impact of Automation and Robots on Intergenerational Mobility," Working Paper Series 1451, Research Institute of Industrial Economics, revised 29 Jun 2023.
    20. Gries, Thomas & Naudé, Wim, 2020. "Artificial Intelligence, Income Distribution and Economic Growth," IZA Discussion Papers 13606, Institute of Labor Economics (IZA).

    More about this item

    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:eti:dpaper:20043. 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: TANIMOTO, Toko (email available below). General contact details of provider: https://edirc.repec.org/data/rietijp.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.