Spatial dependencies in German matching functions

Arbeitspapier

This paper proposes a spatial panel model for German matching functions to avoid possibly biased and inefficient estimates due to spatial dependence. We provide empirical evidence for the presence of spatial dependencies in matching data. Based on an official data set containing monthly information for 176 local employment offices, we show that neglecting spatial dependencies in the data results in overestimated coefficients. For the incorporation of spatial information into our model, we use data on commuting relations between local employment offices. Furthermore, our results suggest that a dynamic modeling is more appropriate for matching functions.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: SFB 649 Discussion Paper ; No. 2010-054

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 ; Unemployment: Models, Duration, Incidence, and Job Search ; Labor Turnover; Vacancies; Layoffs ; Size and Spatial Distributions of Regional Economic Activity
• Subject: empirical matching ; geographic labor mobility ; spatial dependence ; regional unemployment ; Regionale Arbeitslosigkeit ; Räumliche Interaktion ; Regionale Arbeitsmobilität ; Panel ; Schätzung ; Deutschland

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Schulze, Franziska
• Event: Veröffentlichung
• (who): Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk
• (where): Berlin
• (when): 2010

Further information

• Handle: http://hdl.handle.net/10419/56707
• Last update: 10.03.2025, 11:43 AM CET