Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/314109 
Year of Publication: 
2020
Citation: 
[Journal:] Journal of Applied Economics [ISSN:] 1667-6726 [Volume:] 23 [Issue:] 1 [Year:] 2020 [Pages:] 600-617
Publisher: 
Taylor & Francis, Abingdon
Abstract: 
We propose a model of excess commuting based on search costs in the labor market and show how the equilibrium rate of excess commuting is determined by the degree of geographical job concentration - without neglecting the importance of the size of the labor market and commuting costs. We test - and largely confirm - the main predictions of our model using Belgian population data on commuting flows between all its 589 municipalities. Our approach is to aggregate the data into 640 sectors and skill-specific groups in order to generate heterogeneity in the excess commuting rate. We find that workers in sectors with a high degree of job concentration have lower rates of excess commuting and that workers that operate in larger labor markets, such as higher educated workers and men compared to women, have higher rates of excess commuting.
Subjects: 
Excess commuting
job search
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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