IDEAS home Printed from https://ideas.repec.org/a/sko/yrbook/v21y2022i1p47-71.html
   My bibliography  Save this article

Static And Dynamic Estimates Of Probability To Migration To Germany

Author

Listed:
  • Maria Zlateva

    (Faculty of Economics and Business Administration, Sofia University St Kliment Ohridski)

Abstract

The study contains a retrospectical review of German immigration situation in 2014 and estimates the probability to migrate to the country in the beginning of the migration crises. This analysis is conducted in order to identify socio-demographic, economic and political factors which have led to the unprecedented increase in immigration rate in Germany. Although human migration is a global phenomenon which is mostly analysed and predicted by macroeconomic models, in this study the focus is placed on the individuals and their households. They are the subjects associated with the probability of migration. The probability for migration to Germany is estimated in a static and dynamic aspect by comparing two types of econometric models – regression models and gradient boosting models.

Suggested Citation

  • Maria Zlateva, 2022. "Static And Dynamic Estimates Of Probability To Migration To Germany," Yearbook of the Faculty of Economics and Business Administration, Sofia University, Faculty of Economics and Business Administration, Sofia University St Kliment Ohridski - Bulgaria, vol. 21(1), pages 47-71, April.
    • Handle: RePEc:sko:yrbook:v:21:y:2022:i:1:p:47-71
    as

    Download full text from publisher

    File URL: http://www.feba.uni-sofia.bg/sko/yrbook/Yearbook21-03.pdf
    Download Restriction: no
    File URL:
    Download Restriction: no
    ---><---

    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:sko:yrbook:v:21:y:2022:i:1:p:47-71. 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: Prof. Teodor Sedlarski (email available below). General contact details of provider: https://edirc.repec.org/data/fesofbg.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.