IDEAS home Printed from https://ideas.repec.org/a/ces/ifodre/v28y2021i02p30-33.html
   My bibliography  Save this article

Deutscher Arbeitsmarkt ist lokal widerstandsfähig

Author

Listed:
  • Mona Förtsch
  • Xenia Frei
  • Anna Kremer

Abstract

Selbst in Zeiten einer florierenden Wirtschaft, wie wir sie in den zehn Jahren vor Ausbruch der Corona-Pandemie beobachten konnten, kommt es immer wieder zu lokal begrenzten Einbrüchen am Arbeitsmarkt, bspw. aufgrund der Insolvenz eines lokal großen Unternehmens oder einer Werksschließung. Wir nutzen diese Einbrüche, gemessen an dem Anstieg der lokalen Arbeitslosigkeit, um zu untersuchen, wie schnell sich die regionalen Arbeitsmärkte in Deutschland hiervon wieder erholen. Unsere Ergebnisse zeigen, dass der deutsche Arbeitsmarkt in guten Zeiten widerstandsfähig ist. Selbst große lokale Arbeitsmarktschocks erhöhen die Arbeitslosigkeit kaum und sind nach acht Monaten vollständig verarbeitet.

Suggested Citation

  • Mona Förtsch & Xenia Frei & Anna Kremer, 2021. "Deutscher Arbeitsmarkt ist lokal widerstandsfähig," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 28(02), pages 30-33, April.
  • Handle: RePEc:ces:ifodre:v:28:y:2021:i:02:p:30-33
    as

    Download full text from publisher

    File URL: https://www.ifo.de/DocDL/ifoDD_21-02_30-33_Foertsch.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sandler, Danielle H. & Sandler, Ryan, 2014. "Multiple event studies in public finance and labor economics: A simulation study with applications," Journal of Economic and Social Measurement, IOS Press, issue 1-2, pages 31-57.
    2. Simon Freyaldenhoven & Christian Hansen & Jesse M. Shapiro, 2019. "Pre-event Trends in the Panel Event-Study Design," American Economic Review, American Economic Association, vol. 109(9), pages 3307-3338, September.
    3. Mona Förtsch & Xenia Frei & Anna Kremer & Joachim Ragnitz, 2021. "Regional Risk and Resilience Factors – An Analysis for Germany," ifo Dresden Studien, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 86, April.
    Full references (including those not matched with items on IDEAS)

    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. Romeo, Charles & Sandler, Ryan, 2021. "The effect of debt collection laws on access to credit," Journal of Public Economics, Elsevier, vol. 195(C).
    2. Haddou, Samira, 2024. "Determinants of CDS in core and peripheral European countries: A comparative study during crisis and calm periods," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).
    3. Pérez, Jorge & Vial, Felipe & Zárate, Román, 2022. "Urban Transit Infrastructure: Spatial Mismatch and Labor Market Power," Research Department working papers 1992, CAF Development Bank Of Latinamerica.
    4. Simon Freyaldenhoven & Christian Hansen & Jorge Perez Perez & Jesse Shapiro, 2021. "Visualization, Identification, and stimation in the Linear Panel Event-Study Design," Working Papers 21-44, Federal Reserve Bank of Philadelphia.
    5. Aibo Gong, 2021. "Bounds for Treatment Effects in the Presence of Anticipatory Behavior," Papers 2111.06573, arXiv.org, revised Dec 2022.
    6. Deb, Partha & Gangaram, Anjelica & Khajavi, Hoda Nouri, 2021. "The impact of the State Innovation Models Initiative on population health," Economics & Human Biology, Elsevier, vol. 42(C).
    7. Clarke, Damian & Mühlrad, Hanna, 2021. "Abortion laws and women’s health," Journal of Health Economics, Elsevier, vol. 76(C).
    8. Ahn, Soojung & Steinbach, Sandro, 2022. "COVID-19 Trade Actions and Their Impact on the Agricultural and Food Sector," 2023 Allied Social Sciences Association (ASSA) Annual Meeting, January 6-8, 2023, New Orleans, Louisiana 316789, Agricultural and Applied Economics Association.
    9. Nilsen, Øivind A. & Raknerud, Arvid, 2024. "Dynamics of first-time patenting firms," Research Policy, Elsevier, vol. 53(8).
    10. Pattison, Nathaniel, 2020. "Consumption smoothing and debtor protections," Journal of Public Economics, Elsevier, vol. 192(C).
    11. Hoyos, Mateo, 2024. "Tariffs and Growth: Heterogeneity by Economic Structure," SocArXiv v75aw, Center for Open Science.
    12. Wenyuan Hua & Zhihan Chen & Liangguo Luo, 2022. "The Effect of the Major-Grain-Producing-Areas Oriented Policy on Crop Production: Evidence from China," Land, MDPI, vol. 11(9), pages 1-28, August.
    13. Victoire Girard, 2021. "Stabbed in the back? Mandated political representation and murders," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 56(4), pages 595-634, May.
    14. Kim, Dongin & Steinbach, Sandro & Zurita, Carlos, 2024. "Deep trade agreements and agri-food global value chain integration," Food Policy, Elsevier, vol. 127(C).
    15. Doyle, Mary-Alice & Schurer, Stefanie & Silburn, Sven, 2022. "Unintended consequences of welfare reform: Evidence from birthweight of Aboriginal children in Australia," Journal of Health Economics, Elsevier, vol. 84(C).
    16. Simon Freyaldenhoven & Christian B. Hansen & Jorge Pérez Pérez & Jesse M. Shapiro & Constantino Carreto, 2024. "Policy Effect Estimation and Visualization in Linear Panel Event-Study Designs: Introducing the xtevent Package," Working Papers 2024-09, Banco de México.
    17. Marco Bee & Julien Hambuckers, 2020. "Modeling multivariate operational losses via copula-based distributions with g-and-h marginals," DEM Working Papers 2020/3, Department of Economics and Management.
    18. Cho, Sungwoo & Gonçalves, Felipe & Weisburst, Emily, 2021. "Do Police Make Too Many Arrests? The Effect of Enforcement Pullbacks on Crime," IZA Discussion Papers 14907, Institute of Labor Economics (IZA).
    19. Joakim A. Weill & Matthieu Stigler & Olivier Deschenes & Michael R. Springborn, 2021. "Researchers' Degrees-of-Flexibility and the Credibility of Difference-in-Differences Estimates: Evidence From the Pandemic Policy Evaluations," NBER Working Papers 29550, National Bureau of Economic Research, Inc.
    20. Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Jun 2024.

    More about this item

    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:ces:ifodre:v:28:y:2021:i:02:p:30-33. 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: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/ifooode.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.