IDEAS home Printed from https://ideas.repec.org/h/spr/dymchp/978-3-319-39120-5_10.html
   My bibliography  Save this book chapter

Maximizing Female Labor Force Participation in a Stationary Population

In: Dynamic Perspectives on Managerial Decision Making

Author

Listed:
  • Elke Moser

    (Wittgenstein Centre for Demography and Global Human Capital (IIASA, VID/ÖAW, WU)
    Vienna University of Technology)

  • Alexia Prskawetz

    (Wittgenstein Centre for Demography and Global Human Capital (IIASA, VID/ÖAW, WU)
    Vienna University of Technology)

  • Gustav Feichtinger

    (Wittgenstein Centre for Demography and Global Human Capital (IIASA, VID/ÖAW, WU)
    Vienna University of Technology)

  • Bilal Barakat

    (Wittgenstein Centre for Demography and Global Human Capital (IIASA, VID/ÖAW, WU), Vienna Institute of Demography/Austrian Academy of Science)

Abstract

As many European countries have to cope with a shrinking and aging labor force, one important goal of redistributing work is to increase female labor force participation. In some countries, however, this increase could come at the cost of a reduced fertility rate as childcare facilities might be rare or institutional settings and social support are not sufficiently family friendly. In this paper we investigate how and especially at which ages female labor force participation could be increased in a country such as Austria, with an apparently strong negative correlation between childbearing and labor force participation, without reducing fertility even further. Our results indicate that an increase in female labor force participation is indeed possible if the participation rate remains low in the most fertile ages. It turns out, however, that the optimal labor force participation for females strongly depends on the initial fertility pattern of the female population.

Suggested Citation

  • Elke Moser & Alexia Prskawetz & Gustav Feichtinger & Bilal Barakat, 2016. "Maximizing Female Labor Force Participation in a Stationary Population," Dynamic Modeling and Econometrics in Economics and Finance, in: Herbert Dawid & Karl F. Doerner & Gustav Feichtinger & Peter M. Kort & Andrea Seidl (ed.), Dynamic Perspectives on Managerial Decision Making, pages 167-188, Springer.
    • Handle: RePEc:spr:dymchp:978-3-319-39120-5_10
    DOI: 10.1007/978-3-319-39120-5_10
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:dymchp:978-3-319-39120-5_10. 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.