The importance of spatial autocorrelation for regional employment growth in Germany

Arbeitspapier

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: MAGKS Joint Discussion Paper Series in Economics ; No. 31-2010

Classification and Topics

• Classification: Wirtschaft ; Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions ; Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity ; Regional Economic Activity: Growth, Development, Environmental Issues, and Changes ; Urban, Rural, Regional, Real Estate, and Transportation Economics: Regional Migration; Regional Labor Markets; Population; Neighborhood Characteristics
• Subject: spatial interdependency ; spatial autocorrelation ; shift-share-regression ; regional employment growth ; Regionaler Arbeitsmarkt ; Beschäftigung ; Räumliche Interaktion ; Autokorrelation ; Shift-Share-Analyse ; Schätzung ; Deutschland

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Zierahn, Ulrich
• Event: Veröffentlichung
• (who): Philipps-University Marburg, Faculty of Business Administration and Economics
• (where): Marburg
• (when): 2010

Further information

• Handle: http://hdl.handle.net/10419/56564
• Last update: 10.03.2025, 11:45 AM CET