Geodata in labor market research: trends, potentials and perspectives

Kerstin Ostermann, Johann Eppelsheimer, Nina Gläser, Peter Haller and Martina Oertel
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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)

Journal for Labour Market Research, 2022, vol. 56, issue 1, 1-17

Abstract: 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.

Keywords: Georeferenced data; Microdata; Register-based data; Urban economics; Regional science; Labor economics; Neighborhood effects; Spatial economics; Segregation (search for similar items in EconPapers)
JEL-codes: J12 J31 O18 R12 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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DOI: 10.1186/s12651-022-00310-x

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