IDEAS home Printed from https://ideas.repec.org/a/jns/jbstat/v244y2024i5-6p685-698n1002.html
   My bibliography  Save this article

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

Author

Listed:
  • Zimmermann Florian

    (Institute for Employment Research, Nuremberg, Germany)

  • Filser Andreas

    (Institute for Employment Research, Nuremberg, Germany)

  • Haas Georg-Christoph

    (Institute for Employment Research, Nuremberg, Germany)

  • Bähr Sebastian

    (Institute for Employment Research, Nuremberg, Germany)

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.

Suggested Citation

  • Zimmermann Florian & Filser Andreas & Haas Georg-Christoph & Bähr Sebastian, 2024. "The IAB-SMART-Mobility Module: An Innovative Research Dataset with Mobility Indicators Based on Raw Geodata," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 244(5-6), pages 685-698.
    • Handle: RePEc:jns:jbstat:v:244:y:2024:i:5-6:p:685-698:n:1002
    DOI: 10.1515/jbnst-2023-0051
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/jbnst-2023-0051
    Download Restriction: no
    File URL: https://libkey.io/10.1515/jbnst-2023-0051?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Florian Keusch & Sebastian Bähr & Georg-Christoph Haas & Frauke Kreuter & Mark Trappmann, 2023. "Coverage Error in Data Collection Combining Mobile Surveys With Passive Measurement Using Apps: Data From a German National Survey," Sociological Methods & Research, , vol. 52(2), pages 841-878, May.
    2. Alan B. Krueger & Andreas I. Mueller, 2012. "The Lot Of The Unemployed: A Time Use Perspective," Journal of the European Economic Association, European Economic Association, vol. 10(4), pages 765-794, August.
    3. Alan B. Krueger & Andreas I. Mueller, 2012. "Time Use, Emotional Well-Being, and Unemployment: Evidence from Longitudinal Data," American Economic Review, American Economic Association, vol. 102(3), pages 594-599, May.
    4. Antoni Manfred & Bethmann Arne, 2019. "PASS-ADIAB – Linked Survey and Administrative Data for Research on Unemployment and Poverty," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(4), pages 747-756, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Thi Truong An Hoang & Andreas Knabe, 2021. "Time Use, Unemployment, and Well-Being: An Empirical Analysis Using British Time-Use Data," Journal of Happiness Studies, Springer, vol. 22(6), pages 2525-2548, August.
    2. Lars Kunze & Nicolai Suppa, 2014. "Bowling Alone or Bowling at All? The Effect of Unemployment on Social Participation," Ruhr Economic Papers 0510, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    3. Kunze, Lars & Suppa, Nicolai, 2017. "Bowling alone or bowling at all? The effect of unemployment on social participation," Journal of Economic Behavior & Organization, Elsevier, vol. 133(C), pages 213-235.
    4. Kroll, Christian & Pokutta, Sebastian, 2013. "Just a perfect day? Developing a happiness optimised day schedule," Journal of Economic Psychology, Elsevier, vol. 34(C), pages 210-217.
    5. Hetschko, Clemens & Knabe, Andreas & Schöb, Ronnie, 2021. "Happiness, Work, and Identity," GLO Discussion Paper Series 783, Global Labor Organization (GLO).
    6. Been, Jim & Suari-Andreu, Eduard & Knoef, Marike, 2024. "The short-run effects of unexpected job loss on health," Other publications TiSEM 86c797c8-6f3d-46bd-b160-d, Tilburg University, School of Economics and Management.
    7. Conal Smith & Christopher Mackie, 2015. "Conceptualizing Subjective Well-Being and its Many Dimensions – Implications for Data Collection in Official Statistics and for Policy Relevance," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 16(3), pages 335-372, September.
    8. Salokangas, Henri & Böckerman, Petri & Huikari, Sanna & Korhonen, Marko & Korpelainen, Raija & Svento, Rauli, 2022. "Did the Finnish depression of the early 1990s have a silver lining? The effect of unemployment on long-term physical activity," Economics & Human Biology, Elsevier, vol. 46(C).
    9. repec:zbw:rwirep:0510 is not listed on IDEAS
    10. Arthur A. Stone & Stefan Schneider & Alan Krueger & Joseph E. Schwartz & Angus Deaton, 2018. "Experiential Wellbeing Data from the American Time Use Survey: Comparisons with Other Methods and Analytic Illustrations with Age and Income," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(1), pages 359-378, February.
    11. Francesca Carta & Lucia Rizzica, 2015. "Female employment and pre-kindergarten: on the uninteded effects of an Italian reform," Temi di discussione (Economic working papers) 1030, Bank of Italy, Economic Research and International Relations Area.
    12. Galiani, Sebastian & Gertler, Paul & Bando, Rosangela, 2016. "Non-contributory pensions," Labour Economics, Elsevier, vol. 38(C), pages 47-58.
    13. Koenig, Felix & Manning, Alan & Petrongolo, Barbara, 2014. "Reservation wages and the wage flexibility puzzle," LSE Research Online Documents on Economics 60613, London School of Economics and Political Science, LSE Library.
    14. Rémi Yin & Anthony Lepinteur & Andrew E Clark & Conchita d'Ambrosio, 2021. "Life Satisfaction and the Human Development Index Across the World," Working Papers halshs-03174513, HAL.
    15. François Gerard & Joana Naritomi, 2021. "Job Displacement Insurance and (the Lack of) Consumption-Smoothing," American Economic Review, American Economic Association, vol. 111(3), pages 899-942, March.
    16. Ichino, Andrea & Schwerdt, Guido & Winter-Ebmer, Rudolf & Zweimüller, Josef, 2017. "Too old to work, too young to retire?," The Journal of the Economics of Ageing, Elsevier, vol. 9(C), pages 14-29.
    17. Galí, Jordi, 2010. "Monetary Policy and Unemployment," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 10, pages 487-546, Elsevier.
    18. Chadi, Adrian & Hetschko, Clemens, 2025. "Income or leisure? On the hidden benefits of (un)employment," European Economic Review, Elsevier, vol. 171(C).
    19. Girum Abebe & A Stefano Caria & Marcel Fafchamps & Paolo Falco & Simon Franklin & Simon Quinn, 2021. "Anonymity or Distance? Job Search and Labour Market Exclusion in a Growing African City [Endogenous Stratification in Randomized Experiments]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(3), pages 1279-1310.
    20. Clemens Hetschko, 2016. "On the misery of losing self-employment," Small Business Economics, Springer, vol. 47(2), pages 461-478, August.
    21. Zheng Mu & Wei-Jun Jean Yeung, 2018. "For Money or for a Life: A Mixed-Method Study on Migration and Time Use in China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(1), pages 347-379, August.

    More about this item

    Keywords

    data manual; geodata; labor market data; PASS data; smartphone data;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jns:jbstat:v:244:y:2024:i:5-6:p:685-698:n:1002. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.