IDEAS home Printed from https://ideas.repec.org/p/iab/iabdpa/202305.html
   My bibliography  Save this paper

Modeling Migration Dynamics in Stochastic Labor Supply Forecasting

Author

Listed:
  • Hellwagner, Timon

    (Institute for Employment Research (IAB), Nuremberg, Germany)

  • Söhnlein, Doris

    (Institute for Employment Research (IAB), Nuremberg, Germany)

  • Weber, Enzo

    (Institute for Employment Research (IAB), Nuremberg, Germany ; Univ. Regensburg)

Abstract

"Population size and structure in conjunction with the participation behavior are the determinants of labor supply. Thereby, among the demographic components, migration is the one shaping both the size and the structure of a population the strongest in the short to medium term while simultaneously exhibiting high uncertainty, with migration patterns varying between origin-destination-pairs depending on a range of economic and other determinants. Yet, existing stochastic forecasting approaches that jointly address population and labor force participation are sparse and do neither account for differences in future immigration flows across origin countries nor for the interdependencies of immigration and emigration in the destination country. Addressing this shortcoming, we propose an augmentation of an integrated stochastic population and labor force participation forecasting framework by a gravity-equation component to model future immigration and emigration, their interaction, and their determinants more appropriately. By conducting a stochastic forecast, we find that until 2060 the potential labor supply in Germany is declining by 11.7 percent, strongly driven by the even more distinct decline of the working-age population and only partially cushioned by rising participation rates. Thereby, increasing immigration to Germany is highly probable, yet its net effect is limited due to simultaneously rising emigration figures." (Author's abstract, IAB-Doku) ((en))

Suggested Citation

  • Hellwagner, Timon & Söhnlein, Doris & Weber, Enzo, 2023. "Modeling Migration Dynamics in Stochastic Labor Supply Forecasting," IAB-Discussion Paper 202305, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  • Handle: RePEc:iab:iabdpa:202305
    DOI: 10.48720/IAB.DP.2305
    as

    Download full text from publisher

    File URL: https://doi.org/10.48720/IAB.DP.2305
    Download Restriction: no

    File URL: https://libkey.io/10.48720/IAB.DP.2305?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Boysen-Hogrefe, Jens & Gern, Klaus-Jürgen & Groll, Dominik & Hoffmann, Timo & Jannsen, Nils & Kooths, Stefan & Meuchelböck, Saskia & Reents, Jan & Sonnenberg, Nils & Stolzenburg, Ulrich, 2023. "Mittelfristprojektion im Herbst 2023: Wachstum im Sinkflug, Expansionsspielräume nicht allzu hoch," Kieler Konjunkturberichte 108, Kiel Institute for the World Economy (IfW Kiel).

    More about this item

    Keywords

    Bundesrepublik Deutschland ; IAB-Open-Access-Publikation ; Auswanderung ; Auswirkungen ; Bevölkerungsprognose ; demografischer Wandel ; Einwanderung ; Entwicklung ; Erwerbsbeteiligung ; Erwerbspersonenpotenzial ; Herkunftsland ; internationale Migration ; Prognosegenauigkeit ; Prognosemodell ; Stochastik ; Arbeitsmarktprognose ; Zielgebiet ; 1950-2060;
    All these keywords.

    JEL classification:

    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure

    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:iab:iabdpa:202305. 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: IAB, Geschäftsbereich Wissenschaftliche Fachinformation und Bibliothek (email available below). General contact details of provider: https://edirc.repec.org/data/iabbbde.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.