Persistence of Regional Unemployment: Application of a Spatial Filtering Approach to Local Labour Markets in Germany

Arbeitspapier

The geographical distribution and persistence of regional/local unemployment rates in heterogeneous economies (such as Germany) have been, in recent years, the subject of various theoretical and empirical studies. Several researchers have shown an interest in analysing the dynamic adjustment processes of unemployment and the average degree of dependence of the current unemployment rates or gross domestic product from the ones observed in the past. In this paper, we present a new econometric approach to the study of regional unemployment persistence, in order to account for spatial heterogeneity and/or spatial autocorrelation in both the levels and the dynamics of unemployment. First, we propose an econometric procedure suggesting the use of spatial filtering techniques as a substitute for fixed effects in a panel estimation framework. The spatial filter computed here is a proxy for spatially distributed region-specific information (e.g., the endowment of natural resources, or the size of the 'home market') that is usually incorporated in the fixed effects parameters. The advantages of our proposed procedure are that the spatial filter, by incorporating region-specific information that generates spatial autocorrelation, frees up degrees of freedom, simultaneously corrects for time-stable spatial autocorrelation in the residuals, and provides insights about the spatial patterns in regional adjustment processes. We present several experiments in order to investigate the spatial pattern of the heterogeneous autoregressive parameters estimated for unemployment data for German NUTS-3 regions. We find widely heterogeneous but generally high persistence in regional unemployment rates.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Quaderni - Working Paper DSE ; No. 743

Classification and Topics

• Classification: Wirtschaft ; Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions ; Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models ; Size and Spatial Distributions of Regional Economic Activity

Contributors, Location and Time

• Event: Geistige Schöpfung
• (who): Patuelli, Roberto ; Schanne, Norbert ; Griffith, Daniel A. ; Nijkamp, Peter
• Event: Veröffentlichung
• (who): Alma Mater Studiorum - Università di Bologna, Dipartimento di Scienze Economiche (DSE)
• (where): Bologna
• (when): 2011

Further information

• DOI: doi:10.6092/unibo/amsacta/4497
• Handle: http://hdl.handle.net/10419/159584
• Last update: 20.09.2024, 8:23 AM CEST