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Geodata in labor market research: trends, potentials and perspectives

Author

Listed:
  • Kerstin Ostermann

    (Institute for Employment Research (IAB)
    Friedrich-Alexander University Erlangen-Nürnberg (FAU))

  • Johann Eppelsheimer

    (Institute for Employment Research (IAB))

  • Nina Gläser

    (German Institute for Economic Research (DIW))

  • Peter Haller

    (Institute for Employment Research (IAB))

  • Martina Oertel

    (Institute for Employment Research (IAB))

Abstract

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.

Suggested Citation

  • Kerstin Ostermann & Johann Eppelsheimer & Nina Gläser & Peter Haller & Martina Oertel, 2022. "Geodata in labor market research: trends, potentials and perspectives," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 56(1), pages 1-17, December.
    • Handle: RePEc:spr:jlabrs:v:56:y:2022:i:1:d:10.1186_s12651-022-00310-x
    DOI: 10.1186/s12651-022-00310-x
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    More about this item

    Keywords

    Georeferenced data; Microdata; Register-based data; Urban economics; Regional science; Labor economics; Neighborhood effects; Spatial economics; Segregation;
    All these keywords.

    JEL classification:

    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure

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