IDEAS home Printed from https://ideas.repec.org/h/spr/ssdmcp/978-90-481-8948-9_8.html

Models and Factors of Labour Force Participation—Theoretical and Empirical Considerations

In: International Migration and the Future of Populations and Labour in Europe

Author

Listed:
  • Katarzyna Saczuk

    (IOM, Central European Forum for Migration and Population Research
    National Bank of Poland, Economic Institute
    Warsaw School of Economics)

Abstract

Despite extensive research, both theoretical and empirical, there is no universal model of labour supply. Instead, a mix of models or factors is usually used to explain the developments or examine some particular features of labour participation. This chapter briefly discusses the labour–leisure model, the household supply model, the life cycle allocation of time model and the dynamic labour supply model as a base for most theoretical and empirical research of labour supply. The most important factors of labour participation include the business cycle, social security, education, motherhood and social habits. The decision whether to work or not is a complex one and seems to be dependent on socio-economic characteristics, family status and the age of the population concerned. For women yet another factor plays an important role, namely the decision to combine a career with motherhood. These theoretical consideration pave the way to defining future scenarios of labour force participation.

Suggested Citation

  • Katarzyna Saczuk, 2013. "Models and Factors of Labour Force Participation—Theoretical and Empirical Considerations," The Springer Series on Demographic Methods and Population Analysis, in: Marek Kupiszewski (ed.), International Migration and the Future of Populations and Labour in Europe, edition 127, chapter 0, pages 127-142, Springer.
  • Handle: RePEc:spr:ssdmcp:978-90-481-8948-9_8
    DOI: 10.1007/978-90-481-8948-9_8
    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
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:ssdmcp:978-90-481-8948-9_8. 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.