IDEAS home Printed from https://ideas.repec.org/h/spr/adspcp/978-3-642-37819-5_6.html
   My bibliography  Save this book chapter

The Shift-Share Regression: An Application to Regional Employment Development in Bavaria

In: Applied Regional Growth and Innovation Models

Author

Listed:
  • Uwe Blien

    (Institut fuer Arbeitsmarkt- und Berufsforschung (IAB))

  • Lutz Eigenhüller

    (Institut fuer Arbeitsmarkt- und Berufsforschung (IAB))

  • Markus Promberger

    (Institut fuer Arbeitsmarkt- und Berufsforschung (IAB))

  • Norbert Schanne

    (Institut fuer Arbeitsmarkt- und Berufsforschung (IAB))

Abstract

The so-called Shift-Share-Regression is used to analyse the development of employment. This does not imply a deterministic decomposition such as in classical Shift-Share-Analysis (Dunn 1960; Loveridge and Selting 1998). Instead, Shift-Share-Regression is a powerful and flexible econometric tool, which is especially suitable for testing theory-based hypotheses. In a basic version it was introduced by Patterson (1991) as a method for analysing and testing regional industrial developments. In contrary to the deterministic Shift-Share-Analysis employment development was examined in a linear model. In Patterson’s analysis the industrial sector structure was used as the sole determining factor alongside the location effects and the national trend, parallel to those of the deterministic analysis. Möller and Tassinopoulos (2000) extended Patterson’s approach by an additional variable for regional concentration. Further theory-based influences were then integrated in various IAB analyses (Blien and Wolf 2002). Some results of these studies are presented below, following an overview of the method.

Suggested Citation

  • Uwe Blien & Lutz Eigenhüller & Markus Promberger & Norbert Schanne, 2014. "The Shift-Share Regression: An Application to Regional Employment Development in Bavaria," Advances in Spatial Science, in: Karima Kourtit & Peter Nijkamp & Robert Stimson (ed.), Applied Regional Growth and Innovation Models, edition 127, chapter 0, pages 109-137, Springer.
  • Handle: RePEc:spr:adspcp:978-3-642-37819-5_6
    DOI: 10.1007/978-3-642-37819-5_6
    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.

    Citations

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


    Cited by:

    1. L. V. Melnikova, 2021. "Spatial Analysis of the Dynamics of Structural Shifts in the Economies of Russian Regions in 2004–2019," Regional Research of Russia, Springer, vol. 11(4), pages 454-463, October.
    2. Dogru, Tarik & Sirakaya-Turk, Ercan, 2017. "Engines of tourism's growth: An examination of efficacy of shift-share regression analysis in South Carolina," Tourism Management, Elsevier, vol. 58(C), pages 205-214.

    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:adspcp:978-3-642-37819-5_6. 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.