IDEAS home Printed from https://ideas.repec.org/p/osf/socarx/m95df.html
   My bibliography  Save this paper

Inequality in employment trajectories and their socio-economic consequences during the early phase of the COVID-19 pandemic in Germany

Author

Listed:
  • Moehring, Katja

    (University of Mannheim)

  • Weiland, Andreas
  • Reifenscheid, Maximiliane
  • Naumann, Elias
  • Wenz, Alexander

    (University of Mannheim)

  • Rettig, Tobias
  • Krieger, Ulrich
  • Fikel, Marina
  • Cornesse, Carina
  • Blom, Annelies G.

Abstract

This paper evaluates the inequalities in employment trajectories during the first COVID-19 pandemic lockdown in Germany. We assess individual-level panel data collected weekly between 20 March and 25 June (N=2,297), which allows us to examine the risks of short-time work, furlough, and job loss, as well as changes between working on-site and from home. Using sequence analysis, we detect typical patterns of employment trajectories and analyse how these vary between socio-demographic groups. Finally, we relate the types of employment trajectories to changes in income, subjective job security (compared to values in January and February 2020), and COVID-19 infection risks. Our results show clear gradients in employment risks: low-wage workers were severely affected by furlough and job loss, while highly qualified employees were able to work from home. Furthermore, in contrast to previous crises, service sector and female employees were more affected by short-time work; however, its timing and duration differs compared to male workers in manufacturing. Income loss was pronounced among those who became unemployed and those continuously in short-term work, while everybody—including employees continuously working from home—experienced a significant reduction in subjective job security compared to employees whose employment hours or location have not changed. The infection risk was only increased for individuals who changed from furlough to working on-site.

Suggested Citation

  • Moehring, Katja & Weiland, Andreas & Reifenscheid, Maximiliane & Naumann, Elias & Wenz, Alexander & Rettig, Tobias & Krieger, Ulrich & Fikel, Marina & Cornesse, Carina & Blom, Annelies G., 2021. "Inequality in employment trajectories and their socio-economic consequences during the early phase of the COVID-19 pandemic in Germany," SocArXiv m95df, Center for Open Science.
  • Handle: RePEc:osf:socarx:m95df
    DOI: 10.31219/osf.io/m95df
    as

    Download full text from publisher

    File URL: https://osf.io/download/6006b9b7df7ff00055474318/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/m95df?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. repec:iab:iabfob:202004(de is not listed on IDEAS
    2. Michael C. Burda & Jennifer Hunt, 2011. "What Explains the German Labor Market Miracle in the Great Recession," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 42(1 (Spring), pages 273-335.
    3. Garz Marcel, 2013. "Labour Market Segmentation: Standard and Non-Standard Employment in Germany," German Economic Review, De Gruyter, vol. 14(3), pages 349-371, August.
    4. Kirchmann, Andrea & Rosemann, Martin, 2010. "Wer sind die Betroffenen der Krise? Parallelen und Unterschiede zur vorangegangenen Krise," WSI-Mitteilungen, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 63(11), pages 560-568.
    5. Konle-Seidl, Regina, 2020. "Kurzarbeit in Europa: Die Rettung in der aktuellen Corona-Krise?," IAB-Forschungsbericht 202004_de, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. Gabadinho, Alexis & Ritschard, Gilbert & Müller, Nicolas S & Studer, Matthias, 2011. "Analyzing and Visualizing State Sequences in R with TraMineR," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i04).
    7. Raffaella Piccarreta & Francesco C. Billari, 2007. "Clustering work and family trajectories by using a divisive algorithm," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(4), pages 1061-1078, October.
    8. Bothfeld, Silke, 2007. "Labour Market Institutions in Germany : Current Status and Ongoing Reforms," WSI Working Papers 152, The Institute of Economic and Social Research (WSI), Hans Böckler Foundation.
    9. Anke Hassel, 2014. "The Paradox of Liberalization — Understanding Dualism and the Recovery of the German Political Economy," British Journal of Industrial Relations, London School of Economics, vol. 52(1), pages 57-81, March.
    10. Ulf Rinne & Klaus Zimmermann, 2012. "Another economic miracle? The German labor market and the Great Recession," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 1(1), pages 1-21, December.
    11. Richard Blundell & Monica Costa Dias & Robert Joyce & Xiaowei Xu, 2020. "COVID‐19 and Inequalities," Fiscal Studies, John Wiley & Sons, vol. 41(2), pages 291-319, June.
    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. Malou Grubben & Sara Wiertsema & Remco Hoekman & Gerbert Kraaykamp, 2022. "Is Working from Home during COVID-19 Associated with Increased Sports Participation? Contexts of Sports, Sports Location and Socioeconomic Inequality," IJERPH, MDPI, vol. 19(16), pages 1-12, August.
    2. Arntz, Melanie & Ben Yahmed, Sarra & Berlingieri, Francesco, 2022. "Working from home, hours worked and wages: Heterogeneity by gender and parenthood," Labour Economics, Elsevier, vol. 76(C).
    3. Felipe Barrera-Osorio & Adriana D. Kugler & Mikko I. Silliman, 2021. "Job Training Through Turmoil," NBER Working Papers 29565, National Bureau of Economic Research, Inc.
    4. Tianchu Lyu & Nicole Hair & Nicholas Yell & Zhenlong Li & Shan Qiao & Chen Liang & Xiaoming Li, 2021. "Temporal Geospatial Analysis of COVID-19 Pre-Infection Determinants of Risk in South Carolina," IJERPH, MDPI, vol. 18(18), pages 1-18, September.
    5. Kang, Tarandeep S. & Goodwin, Robin, 2022. "Legal restrictions and mitigation strategies amongst a disabled population during COVID-19," Social Science & Medicine, Elsevier, vol. 305(C).
    6. Ferragina, Emanuele & Pasqualini, Marta & Ricchi, Ettore & Zola, Andrew, 2021. "Who cares about health and the economy through the Covid-19 pandemic? Longitudinally tracking changes and heterogeneity in people’s perceptions of risks," SocArXiv rv7e3, Center for Open Science.
    7. Knize, Veronika & Tobler, Lina & Christoph, Bernhard & Fervers, Lukas & Jacob, Marita, 2021. "Workin’ moms ain’t doing so bad: Evidence on the gender gap in working hours at the outset of the COVID-19 pandemic [Läuft bei Müttern: Zur Entwicklung der Geschlechterunterschiede in der Arbeitsze," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue Early Vie.

    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. Ulf Rinne & Klaus F Zimmermann, 2013. "Is Germany the North Star of Labor Market Policy?," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 61(4), pages 702-729, December.
    2. Sergio Destefanis & Matteo Fragetta & Giuseppe Mastromatteo & Nazzareno Ruggiero, 2020. "The Beveridge curve in the OECD before and after the great recession," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 10(3), pages 411-436, September.
    3. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87.
    4. Florian Hoffmann & Thomas Lemieux, 2016. "Unemployment in the Great Recession: A Comparison of Germany, Canada, and the United States," Journal of Labor Economics, University of Chicago Press, vol. 34(S1), pages 95-139.
    5. Richard B. Freeman, 2013. "Failing the Test? The Flexible U.S. Job Market in the Great Recession," The ANNALS of the American Academy of Political and Social Science, , vol. 650(1), pages 78-97, November.
    6. Theresa Markefke & Rebekka Rehm, 2020. "Macroeconomic Determinants of Involuntary Part-Time Employment in Germany," Working Paper Series in Economics 103, University of Cologne, Department of Economics.
    7. Bod’a, Martin & Považanová, Mariana, 2021. "Output-unemployment asymmetry in Okun coefficients for OECD countries," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 307-323.
    8. Marco Caliendo & Jens Hogenacker, 2012. "The German labor market after the Great Recession: successful reforms and future challenges," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 1(1), pages 1-24, December.
    9. Seele, Stefanie & Burda, Michael, 2016. "No Role for the Hartz Reforms? Demand and Supply Factors in the German Labor Market, 1993-2014," VfS Annual Conference 2016 (Augsburg): Demographic Change 145650, Verein für Socialpolitik / German Economic Association.
    10. Julio G. Fournier Gabela & Luis Sarmiento, 2020. "Kurzarbeit and Natural Disasters: How Effective Are Short-Time Working Allowances in Avoiding Unemployment?," Discussion Papers of DIW Berlin 1909, DIW Berlin, German Institute for Economic Research.
    11. Baptiste Françon, 2020. "Salaire minimum en Allemagne et segmentation de l’emploi," Working Papers of BETA 2020-36, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    12. Baptiste Françon, 2021. "Salaire minimum en Allemagne et segmentation de l’emploi," Working Papers halshs-03217241, HAL.
    13. Michael Stops, 2016. "Revisiting German labour market reform effects—a panel data analysis for occupational labour markets," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-43, December.
    14. 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.
    15. Magnus Reif, 2022. "Time‐Varying Dynamics of the German Business Cycle: A Comprehensive Investigation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(1), pages 80-102, February.
    16. Richard B. Freeman, 2013. "Failing the Test? The Flexible U.S. Job Market in the Great Recession," The ANNALS of the American Academy of Political and Social Science, , vol. 650(1), pages 78-97, November.
    17. Burda Michael C. & Seele Stefanie, 2017. "Das deutsche Arbeitsmarktwunder: Eine Bilanz," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 18(3), pages 179-204, October.
    18. Raffaella Piccarreta, 2017. "Joint Sequence Analysis," Sociological Methods & Research, , vol. 46(2), pages 252-287, March.
    19. Liao, Tim F. & Bolano, Danilo & Brzinsky-Fay, Christian & Cornwell, Benjamin & Fasang, Anette Eva & Helske, Satu & Piccarreta, Raffaella & Raab, Marcel & Ritschard, Gilbert & Struffolino, Emanuela & S, 2022. "Sequence analysis: Its past, present, and future," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 107, pages 1-1.
    20. Piccarreta, Raffaella & Bonetti, Marco, 2019. "Assessing and comparing models for sequence data by microsimulation (with Supplementary Material)," SocArXiv 3mcfp, Center for Open Science.

    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:osf:socarx:m95df. 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: OSF (email available below). General contact details of provider: https://arabixiv.org .

    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.