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

  • Uwe BlienEmail author
  • Lutz Eigenhüller
  • Markus PrombergerEmail author
  • Norbert Schanne
Chapter
Part of the Advances in Spatial Science book series (ADVSPATIAL)

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.

Keywords

Employment Growth Large Establishment Employment Share Sectoral Effect Establishment Size 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Supplementary material

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Institut fuer Arbeitsmarkt- und Berufsforschung (IAB)NuernbergGermany

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