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Spatial matching on the urban labor market: estimates with unique micro data
1Faculty of Human Geography and Planning, Adam Mickiewicz University, Poznan, Poland.
Journal for Labour Market Research
|April 12, 2021
Summary
This study reveals spatial spillovers in Poznań
Area of Science:
- Labor Economics
- Spatial Econometrics
Background:
- Understanding labor market dynamics is crucial for economic development.
- Spatial relationships and spillovers significantly influence job-worker matching.
Purpose of the Study:
- To investigate spatial relationships and spillovers in the Poznań labor market.
- To assess the job-worker matching process using spatial panel models.
- To compare the reliability of job vacancy data from different sources.
Main Methods:
- Development and application of spatial panel models.
- Analysis of unique job vacancy data from commercial job portals and registered data.
- Identification of spatial spillovers and influencing factors.
Main Results:
- Spatial models reveal distinct findings on returns to scale in matching technology compared to regular models.
- Global spillover effects and other factors impacting job-worker matching were identified.
- Job vacancy data from commercial portals yielded more reliable estimates than registered data.
Conclusions:
- Spatial econometrics provides valuable insights into labor market dynamics.
- The choice of data source significantly impacts the accuracy of labor market analysis.
- Understanding spatial spillovers is key to optimizing job-worker matching.
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