Artikel
Geodata in labor market research: trends, potentials and perspectives
This article shows the potentials of georeferenced data for labor market research. We review developments in the literature and highlight areas that can benefit from exploiting georeferenced data. Moreover, we share our experiences in geocoding administrative employment data including wage and socioeconomic information of almost the entire German workforce between 2000 and 2017. To make the data easily accessible for research, we create 1-square-kilometer grid cells aggregating a rich set of labor market characteristics and sociodemographics of unprecedented spatial precision. These unique data provide detailed insights into inner-city distributions for all German cities with more than 100,000 inhabitants. Accordingly, we provide an extensive series of maps in the Additional file 1 and describe Berlin and Munich in greater detail. The small-scale maps reveal substantial differences in various labor market aspects within and across cities.
- Language
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Englisch
- Bibliographic citation
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Journal: Journal for Labour Market Research ; ISSN: 2510-5027 ; Volume: 56 ; Year: 2022 ; Issue: 1 ; Pages: 1-17 ; Heidelberg: Springer
- Classification
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Wirtschaft
Marriage; Marital Dissolution; Family Structure; Domestic Abuse
Wage Level and Structure; Wage Differentials
Economic Development: Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
Size and Spatial Distributions of Regional Economic Activity
- Subject
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Georeferenced data
Labor economics
Microdata
Neighborhood effects
Regional science
Register-based data
Segregation
Spatial economics
Urban economics
- Event
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Geistige Schöpfung
- (who)
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Ostermann, Kerstin
Eppelsheimer, Johann
Gläser, Nina
Haller, Peter
Oertel, Martina
- Event
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Veröffentlichung
- (who)
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Springer
- (where)
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Heidelberg
- (when)
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2022
- DOI
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doi:10.1186/s12651-022-00310-x
- Handle
- Last update
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10.03.2025, 11:43 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Ostermann, Kerstin
- Eppelsheimer, Johann
- Gläser, Nina
- Haller, Peter
- Oertel, Martina
- Springer
Time of origin
- 2022