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DIW-IAB-RWI–Neighborhoodpanel Labor Market Data

Version
1
Resource Type
Dataset
Creator
  • DIW
  • IAB
  • RWI
Collective Title
  • RWI-GEO-LAB
Publication Date
2016-11-24
Publication Place
Nürnberg
Contributor
  • Bügelmeyer, Elisabeth (Deutsches Institut für Wirtschaftsforschung (DIW)) (Researcher)
  • Schaffner, Sandra (RWI – Leibniz-Institut für Wirtschaftsforschung) (Researcher)
  • Schanne, Norbert (Institut für Arbeitsmarkt- und Berufsforschung (IAB)) (Data Collector)
  • Scholz, Theresa (Institut für Arbeitsmarkt- und Berufsforschung (IAB)) (Data Collector)
  • Deutsches Institut für Wirtschaftsforschung (DIW) (Editor)
  • Institute for Employment Research (IAB) (Data Collector)
  • RWI – Leibniz-Institut für Wirtschaftsforschung (Editor)
Language
German
Classification
  • JEL:
    • Urban, Rural, Regional, and Transportation Economics: Regional Migration; Regional Labor Markets; Population; Neighborhood Characteristics
    • Labor Economics: General
    • Labor Force and Employment, Size, and Structure
    • Mobility, Unemployment, and Vacancies: General
Free Keywords
post codes; ZIP codes; employees; unemployed; neighbourhood
Description
  • Abstract

    There is a lack of individual data that provide sufficient information on the direct neighbourhood of an individual for the analysis of neighbourhood effects. Regarding German post code levels, the DIW-IAB-RWI Neighbourhood Panel aims at closing this gap. It is based on the Integrated Employment Biographies (IEB) which were aggregated to provide information on employees subject to social security contributions and unemployed for each German post code. These data can be merged to the German Socio-Economic Panel (SOEP) and further datasets provided by the research data centres at DIW, IAB and RWI.

Temporal Coverage
  • 2004 / 2010
Geographic Coverage
  • Germany (DE)
Sampled Universe

All employees subject to social security contributions and all recipients of unemployment benefits in Germany

Sampling

Postcode level aggregation

Time Dimension
  • Longitudinal: Panel
Collection Mode
  • Aggregation
Data and File Information
  • Unit Type: Geographic Unit
    Number of Units: 4524
    Number of Variables: 67
    Type of Data: aggregate data
Availability
On-site
Rights
non-commercial use only
Publications
  • Bügelmeyer, E., S. Schaffner, N. Schanne und T. Scholz (2015): Das DIW-IAB-RWI–Nachbarschaftspanel. Ein Scientific-Use-File mit lokalen Aggregatdaten und dessen Verknüpfung mit dem deutschen Sozio-ökonomischen Panel. RWI Materialien 97. Essen: RWI.

    • ID: http://hdl.handle.net/10419/155352 (Handle)
  • Bechara, P., L. Eilers and A. Paloyo (2014). In Good Company – Neighborhood Quality and Female Employment. Ruhr Economic Papers #535. RWI.

    • ID: 10.4419/86788612 (DOI)
  • Schaffner, S. and B. Treude (2014). The Effect of Ethnic Clustering on Migrant Integration in Germany. Ruhr Economic Papers #536. RWI.

    • ID: 10.4419/86788613 (DOI)

Update Metadata: 2020-02-18 | Issue Number: 45 | Registration Date: 2016-11-23

DIW; IAB; RWI (2016): DIW-IAB-RWI–Nachbarschaftspanel. RWI-GEO-LAB. Version: 1. RWI – Leibniz-Institut für Wirtschaftsforschung. Dataset. https://doi.org/10.7807/DIWIABRWI:V1