IDEAS home Printed from https://ideas.repec.org/a/spr/wirtsc/v102y2022i7d10.1007_s10273-022-3232-2.html
   My bibliography  Save this article

Rückkehr zu stärkerem Beschäftigungswachstum in den Städten erwartet
[Return to Stronger Employment Growth Expected in Cities]

Author

Listed:
  • Anja Rossen

    (Institut für Arbeitsmarkt- und Berufsforschung)

Abstract

This paper presents a new facet of the regional forecasts of the Institute for Employment Research (IAB). For the development in 2022, we report results at the level of administrative district types of the Federal Institute for Research on Building, Urban Affairs and Spatial Development (BBSR). Overall, the forecasts for 2022 suggest a return to the regional disparities that already existed before the pandemic with regard to the development of unemployment and employment. While there are no major differences between the administrative district types in the unemployment forecast, the expected growth in employment increases in cities and urban areas compared to the previous year, but stagnates in the case of the two rural structural types.

Suggested Citation

  • Anja Rossen, 2022. "Rückkehr zu stärkerem Beschäftigungswachstum in den Städten erwartet [Return to Stronger Employment Growth Expected in Cities]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 102(7), pages 568-570, July.
    • Handle: RePEc:spr:wirtsc:v:102:y:2022:i:7:d:10.1007_s10273-022-3232-2
    DOI: 10.1007/s10273-022-3232-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10273-022-3232-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10273-022-3232-2?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    C53; R23;

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

    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:spr:wirtsc:v:102:y:2022:i:7:d:10.1007_s10273-022-3232-2. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.