The Importance of Spatial Autocorrelation for Regional Employment Growth in Germany

In analyzing the disparities of the regional developments in the volume of employment in Germany, in the recent empirical literature so called shift-share-regression-models are frequently applied. However, these models usually neglect spatial interdependencies, even though such interdependencies are...

Cur síos iomlán

Sábháilte in:
Sonraí bibleagrafaíochta
Foilsithe in:MAGKS - Joint Discussion Paper Series in Economics (Band 31-2010)
Príomhchruthaitheoir: Zierahn, Ulrich
Formáid: Arbeit
Teanga:Béarla
Foilsithe / Cruthaithe: Philipps-Universität Marburg 2010
Ábhair:
Rochtain ar líne:An téacs iomlán mar PDF
Clibeanna: Cuir clib leis
Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!
Cur síos
Achoimre:In analyzing the disparities of the regional developments in the volume of employment in Germany, in the recent empirical literature so called shift-share-regression-models are frequently applied. However, these models usually neglect spatial interdependencies, even though such interdependencies are likely to occur on a regional level. Therefore, this paper focuses on the importance of spatial dependencies using spatial autocorrelation in order to analyze regional employment development. Spatial dependency in the form of spatial lag, spatial error and cross regressive model are compared. The results indicate that the exogenous variables’ spatial lag sufficiently explains the spatial autocorrelation of regional employment growth.
Cur síos fisiciúil:30 Seiten
ISSN:1867-3678
DOI:10.17192/es2024.0061