IDEAS home Printed from https://ideas.repec.org/h/spr/ssdmcp/978-90-481-8897-0_4.html

Forecasting Migration: Selected Models and Methods

In: Forecasting International Migration in Europe: A Bayesian View

Author

Listed:
  • Jakub Bijak

    (School of Social Sciences, Centre for Population Change and S3RI, University of Southampton)

Abstract

In the current chapter, a survey of various models and methods used in migration predictions to date is offered. The rationale is that socio-economic predictions can be based not only on general, well-grounded laws and theories, but also on descriptive models designed to suit specific research questions. The presented overview follows a distinction between deterministic and probabilistic approaches, presented respectively in Sections 4.1 and 4.2, depending on the way the uncertainty issue is treated. The presented models and methods are finally compared and evaluated from the point of view of their usefulness for the purpose of the current and possible future studies.

Suggested Citation

  • Jakub Bijak, 2011. "Forecasting Migration: Selected Models and Methods," The Springer Series on Demographic Methods and Population Analysis, in: Forecasting International Migration in Europe: A Bayesian View, chapter 0, pages 53-87, Springer.
    • Handle: RePEc:spr:ssdmcp:978-90-481-8897-0_4
    DOI: 10.1007/978-90-481-8897-0_4
    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:978-90-481-8897-0_4. 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.