The IAB-SMART-Mobility Module: An Innovative Research Dataset with Mobility Indicators Based on Raw Geodata-Reference-Cited by-同舟云学术

The IAB-SMART-Mobility Module: An Innovative Research Dataset with Mobility Indicators Based on Raw Geodata

Published:2023-08-14 Issue:0 Volume:0 Page:
ISSN:0021-4027
Container-title:Jahrbücher für Nationalökonomie und Statistik
language:en
Short-container-title:

Author:

Zimmermann Florian¹^ORCID,Filser Andreas¹^ORCID,Haas Georg-Christoph¹^ORCID,Bähr Sebastian¹^ORCID

Affiliation:

1. Institute for Employment Research , Nuremberg , Germany

Abstract

Abstract The ubiquity of smartphones has enabled the collection of novel data through their built-in sensors, including geolocation data which can be used to understand mobility behavior. In this project, we leveraged longitudinal geolocation data collected from participants in the 2018 German app study IAB-SMART to develop a set of mobility indicators, such as visited unique locations and traveled distance. The indicators can be linked to the Panel Study Labour Market and Social Security (PASS) survey and administrative employment histories. The resulting novel dataset offers a unique opportunity to study the relationship between mobility and labor market outcomes. This article provides an overview of the study, outlines the data preparation process, and the socio-demographic characteristics of the 398 participants of the IAB-SMART-Mobility module. We present the mobility indicators generated from the geolocation data and provide guidance for accessing the Institute for Employment Research’s (IAB) data.

Funder

BERD@NFDI

Publisher

Walter de Gruyter GmbH

Subject

Economics and Econometrics,Social Sciences (miscellaneous),General Business, Management and Accounting

Link

https://www.degruyter.com/document/doi/10.1515/jbnst-2023-0051/pdf

Reference19 articles.

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