Explaining spatial patterns of foreign employment in Germany

Robert Lehmann and Wolfgang Nagl

Regional Studies, 2019, vol. 53, issue 7, 991-1003

Abstract: This paper investigates the main determinants of the representation of foreign employees across German regions. Since migration determinants are not necessarily the same for workers of different nationalities, spatial patterns are explained not only for total foreign employment but also for the 35 most important migration countries to Germany. Based on a total census for all 402 German districts, the paper starts by showing the spatial distributions of workers with different nationalities and explains the emerging patterns by spatial error models. Although large heterogeneity in determinants across nationalities are found, similarities between country groups prevail. Economic conditions matter for most nationalities, whereas the importance of amenities and openness differ.

Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://hdl.handle.net/10.1080/00343404.2018.1515479 (text/html)
Access to full text is restricted to subscribers.

Related works:
Journal Article: Explaining spatial patterns of foreign employment in Germany (2018)
Working Paper: Explaining Spatial Patterns of Foreign Employment in Germany (2017)
Working Paper: Distance is crucially important, at least for neighbors' foreign employment at the district level (2015)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:regstd:v:53:y:2019:i:7:p:991-1003

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CRES20

DOI: 10.1080/00343404.2018.1515479

Access Statistics for this article

Regional Studies is currently edited by Ivan Turok

More articles in Regional Studies from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().