IDEAS home Printed from https://ideas.repec.org/p/zbw/dicedp/292.html
   My bibliography  Save this paper

Long-run patterns of labour market polarisation: Evidence from German micro data

Author

Listed:
  • Bachmann, Ronald
  • Cim, Merve
  • Green, Colin

Abstract

The past four decades have witnessed dramatic changes in the structure of employment. In particular, the rapid increase in computational power has led to large-scale reductions in employment in jobs that can be described as intensive in routine tasks. These jobs have been shown to be concentrated in middle skill occupations. A large literature on labour market polarisation characterises and measures these processes at an aggregate level. However to date there is little information regarding the individual worker adjustment processes related to routine-biased technological change. Using an administrative panel data set for Germany, we follow workers over an extended period of time and provide evidence of both the short-term adjustment process and medium-run effects of routine task intensive job loss at an individual level. We initially demonstrate a marked, and steady, shift in employment away from routine, middle-skill, occupations. In subsequent analysis, we demonstrate how exposure to jobs with higher routine task content is associated with a reduced likelihood of being in employment in both the short term (after one year) and medium term (five years). This employment penalty to routineness of work has increased over the past four decades. More generally, we demonstrate that routine task work is associated with reduced job stability and more likelihood of experiencing periods of unemployment. However, these negative effects of routine work appear to be concentrated in increased employment to employment, and employment to unemployment transitions rather than longer periods of unemployment.

Suggested Citation

  • Bachmann, Ronald & Cim, Merve & Green, Colin, 2018. "Long-run patterns of labour market polarisation: Evidence from German micro data," DICE Discussion Papers 292, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  • Handle: RePEc:zbw:dicedp:292
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/179037/1/102345565X.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Nir Jaimovich & Henry E. Siu, 2020. "Job Polarization and Jobless Recoveries," The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 129-147, March.
    2. 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).
    3. Antonczyk Dirk & Fitzenberger Bernd & Leuschner Ute, 2009. "Can a Task-Based Approach Explain the Recent Changes in the German Wage Structure?," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 229(2-3), pages 214-238, April.
    4. 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.
    5. Vom Berge, Philipp & König, Marion & Seth, Stefan, 2013. "Sample of Integrated Labour Market Biographies (SIAB) 1975-2010," FDZ Datenreport. Documentation on Labour Market Data 201301_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. 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.
    7. Francesca Mazzolari & Giuseppe Ragusa, 2013. "Spillovers from High-Skill Consumption to Low-Skill Labor Markets," The Review of Economics and Statistics, MIT Press, vol. 95(1), pages 74-86, March.
    8. Christian Dustmann & Bernd Fitzenberger & Uta Sch?nberg & Alexandra Spitz-Oener, 2014. "From Sick Man of Europe to Economic Superstar: Germany's Resurgent Economy," Journal of Economic Perspectives, American Economic Association, vol. 28(1), pages 167-188, Winter.
    9. Van den Berg, Gerard J., 2001. "Duration models: specification, identification and multiple durations," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 55, pages 3381-3460, Elsevier.
    10. 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.
    11. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    12. 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.
    13. Daniel Baumgarten, 2015. "Offshoring, the Nature of Tasks, and Occupational Stability: Empirical Evidence for Germany," The World Economy, Wiley Blackwell, vol. 38(3), pages 479-508, March.
    14. Jaap H. Abbring & Gerard J. Van Den Berg, 2007. "The unobserved heterogeneity distribution in duration analysis," Biometrika, Biometrika Trust, vol. 94(1), pages 87-99.
    15. Alexandra Spitz-Oener, 2006. "Technical Change, Job Tasks, and Rising Educational Demands: Looking outside the Wage Structure," Journal of Labor Economics, University of Chicago Press, vol. 24(2), pages 235-270, April.
    16. David H. Autor & Lawrence F. Katz & Alan B. Krueger, 1998. "Computing Inequality: Have Computers Changed the Labor Market?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1169-1213.
    17. Caliendo, Marco & Uhlendorff, Arne, 2008. "Self-Employment Dynamics, State Dependence and Cross-Mobility Patterns," IZA Discussion Papers 3900, Institute of Labor Economics (IZA).
    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. Per-Anders Edin & Tiernan Evans & Georg Graetz & Sofia Hernnäs & Guy Michaels, 2023. "Individual Consequences of Occupational Decline," The Economic Journal, Royal Economic Society, vol. 133(654), pages 2178-2209.
    2. Lewandowski, Piotr & Keister, Roma & Hardy, Wojciech & Górka, Szymon, 2020. "Ageing of routine jobs in Europe," Economic Systems, Elsevier, vol. 44(4).
    3. Arntz, Melanie & Ivanov, Boris & Pohlan, Laura, 2022. "Regional Structural Change and the Effects of Job Loss," IZA Discussion Papers 15313, Institute of Labor Economics (IZA).
    4. Zeyer-Gliozzo, Birgit, 2020. "Returns to formal, non-formal and informal training for workers at risk of automation," Ruhr Economic Papers 857, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    5. Bachmann, Ronald & Demir, Gökay & Green, Colin P. & Uhlendorff, Arne, 2022. "The Role of Within-Occupation Task Changes in Wage Development," IZA Discussion Papers 15647, Institute of Labor Economics (IZA).
    6. Eduard Storm, 2022. "Task specialization and the Native‐Foreign Wage Gap," LABOUR, CEIS, vol. 36(2), pages 167-195, June.
    7. Bachmann, Ronald & Gonschor, Myrielle, 2022. "Technological progress, occupational structure and gender gaps in the German labour market," Ruhr Economic Papers 955, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    8. Ronald Bachmann & Peggy Bechara & Christina Vonnahme, 2020. "Occupational Mobility in Europe: Extent, Determinants and Consequences," De Economist, Springer, vol. 168(1), pages 79-108, March.
    9. Blien, Uwe & Dauth, Wolfgang & Roth, Duncan H.W., 2021. "Occupational routine intensity and the costs of job loss: evidence from mass layoffs," Labour Economics, Elsevier, vol. 68(C).
    10. Brand, Claus & Obstbaum, Meri & Coenen, Günter & Sondermann, David & Lydon, Reamonn & Ajevskis, Viktors & Hammermann, Felix & Angino, Siria & Hernborg, Nils & Basso, Henrique & Hertweck, Matthias & Bi, 2021. "Employment and the conduct of monetary policy in the euro area," Occasional Paper Series 275, European Central Bank.
    11. Bachmann, Ronald & Stepanyan, Gayane, 2020. "It's a woman's world? Occupational structure and the rise of female employment in Germany," Ruhr Economic Papers 889, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    12. Ronald Bachmann & Gökay Demir & Hanna Frings, 2022. "Labor Market Polarization, Job Tasks, and Monopsony Power," Journal of Human Resources, University of Wisconsin Press, vol. 57(S), pages 11-49.
    13. Tamm, Marcus, 2018. "Training and changes in job Tasks," Economics of Education Review, Elsevier, vol. 67(C), pages 137-147.
    14. Hedieh Aghelmaleki & Ronald Bachmann & Joel Stiebale, 2022. "The China Shock, Employment Protection, and European Jobs," ILR Review, Cornell University, ILR School, vol. 75(5), pages 1269-1293, October.
    15. Nicola Cassandro & Marco Centra & Dario Guarascio & Piero Esposito, 2021. "What drives employment–unemployment transitions? Evidence from Italian task-based data," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(3), pages 1109-1147, October.
    16. 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.
    17. Alic Bîrcă & Christiana Brigitte Sandu & Igor Matveiciuc, 2023. "Determinants of Public Institutions Competitiveness: Case Study of the Republic of Moldova," Administrative Sciences, MDPI, vol. 13(10), pages 1-25, September.
    18. Neumann, Uwe, 2020. "Lebenslanges Lernen als Standortfaktor? Weiterbildungschancen im Vergleich der deutschen Bundesländer," RWI Materialien 138, RWI - Leibniz-Institut für Wirtschaftsforschung.
    19. Delaporte, Isaure & Peña, Werner, 2023. "The Dynamics of Labour Market Polarization in Chile: An Analysis of the Link Between Technical Change and Informality," GLO Discussion Paper Series 1262, Global Labor Organization (GLO).
    20. Jasmine Mondolo, 2022. "The composite link between technological change and employment: A survey of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1027-1068, September.
    21. Helfen, Markus & Wirth, Carsten, 2020. "Management von Arbeit in pluralen Netzwerkorganisationen: Trends, Deutungen und Handlungsoptionen," Working Paper Forschungsförderung 185, Hans-Böckler-Stiftung, Düsseldorf.
    22. 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.
    23. Bachmann, Ronald & Gonschor, Myrielle & Storm, Eduard & Evans, Julian, 2024. "Berufe der Zukunft im Ruhrgebiet: Studie im Auftrag des Regionalverbands Ruhr. Endbericht," RWI Projektberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, number 296884, March.
    24. Neumann, Uwe & Schaffner, Sandra & Eilers, Lea, 2019. "Bedeutung finanzieller Grundkompetenzen aus regionaler Perspektive. Gefördert durch die Dr. Josef und Brigitte Pauli-Stiftung," RWI Projektberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, number 222358, March.

    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. Michael J. Böhm & Hans-Martin von Gaudecker & Felix Schran, 2024. "Occupation Growth, Skill Prices, and Wage Inequality," Journal of Labor Economics, University of Chicago Press, vol. 42(1), pages 201-243.
    2. 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.
    3. Ronald Bachmann & Gökay Demir & Colin Green & Arne Uhlendorff, 2022. "The Role of Within-Occupation Task Changes in Wage Development," Working Papers 2022-20, Center for Research in Economics and Statistics.
    4. Silvia Vannutelli & Sergio Scicchitano & Marco Biagetti, 2022. "Routine-biased technological change and wage inequality: do workers’ perceptions matter?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 12(3), pages 409-450, September.
    5. Nikolaos Terzidis & Raquel Ortega‐Argilés, 2021. "Employment polarization in regional labor markets: Evidence from the Netherlands," Journal of Regional Science, Wiley Blackwell, vol. 61(5), pages 971-1001, November.
    6. 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.
    7. Falck, Oliver & Heimisch-Roecker, Alexandra & Wiederhold, Simon, 2021. "Returns to ICT skills," Research Policy, Elsevier, vol. 50(7).
    8. Cortes, Guido Matias & Salvatori, Andrea, 2019. "Delving into the demand side: Changes in workplace specialization and job polarization," Labour Economics, Elsevier, vol. 57(C), pages 164-176.
    9. Marchand, Joseph, 2020. "Routine Tasks were Demanded from Workers during an Energy Boom," Working Papers 2020-8, University of Alberta, Department of Economics.
    10. Andrea Salvatori, 2018. "The anatomy of job polarisation in the UK," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 52(1), pages 1-15, December.
    11. Cavaglia, Chiara & Etheridge, Ben, 2020. "Job polarization and the declining quality of knowledge workers: Evidence from the UK and Germany," Labour Economics, Elsevier, vol. 66(C).
    12. Sebastian Lago Raquel & Federico Biagi, 2018. "The Routine Biased Technical Change hypothesis: a critical review," JRC Research Reports JRC113174, Joint Research Centre.
    13. Arntz, Melanie & Ivanov, Boris & Pohlan, Laura, 2022. "Regional Structural Change and the Effects of Job Loss," IZA Discussion Papers 15313, Institute of Labor Economics (IZA).
    14. Janssen, Simon & Mohrenweiser, Jens, 2018. "The Shelf Life of Incumbent Workers during Accelerating Technological Change: Evidence from a Training Regulation Reform," IZA Discussion Papers 11312, Institute of Labor Economics (IZA).
    15. Castro Silva, Hugo & Lima, Francisco, 2017. "Technology, employment and skills: A look into job duration," Research Policy, Elsevier, vol. 46(8), pages 1519-1530.
    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. David J. Deming, 2017. "The Growing Importance of Social Skills in the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1593-1640.
    18. van der Velde, Lucas, 2022. "Phasing out: Routine tasks and retirement," Journal of Comparative Economics, Elsevier, vol. 50(3), pages 784-803.
    19. Thomsen, Stephan L, 2018. "Die Rolle der Computerisierung und Digitalisierung für Beschäftigung und Einkommen," Hannover Economic Papers (HEP) dp-645, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    20. Cortes, Matias & Lerche, Adrian & Schönberg, Uta & Tschopp, Jeanne, 2023. "Technological Change, Firm Heterogeneity and Wage Inequality," IZA Discussion Papers 16070, Institute of Labor Economics (IZA).

    More about this item

    Keywords

    polarization; occupational mobility; worker flows; tasks;
    All these keywords.

    JEL classification:

    • 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
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity

    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:zbw:dicedp:292. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/diduede.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.