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Development of a new COVID-19 panel survey: the IAB high-frequency online personal panel (HOPP)

Author

Listed:
  • Georg-Christoph Haas

    (Institute for Employment Research
    University of Mannheim)

  • Bettina Müller

    (Institute for Employment Research)

  • Christopher Osiander

    (Institute for Employment Research)

  • Julia Schmidtke

    (Institute for Employment Research)

  • Annette Trahms

    (Institute for Employment Research)

  • Marieke Volkert

    (Institute for Employment Research)

  • Stefan Zins

    (Institute for Employment Research)

Abstract

Since January 2020, the COVID-19 crisis has affected everyday life around the world, and rigorous government lockdown restrictions have been implemented to prevent the further spread of the pandemic. The consequences of the corona crisis and the associated lockdown policies for public health, social life, and the economy are vast. In view of the rapidly changing situation during this crisis, policymakers require timely data and research results that allow for informed decisions. Addressing the requirement for adequate databases to assess people’s life and work situations during the pandemic, the Institute for Employment Research (IAB) developed the High-frequency Online Personal Panel (HOPP). The HOPP study started in May 2020 and is based on a random sample of individuals drawn from the administrative data of the Federal Employment Agency in Germany, containing information on all labour market participants except civil servants and self-employed. The main goal of the HOPP study is to assess the short-term as well as long-term changes in people’s social life and working situation in Germany due to the corona pandemic. To assess individual dynamics the HOPP collected data on a monthly (wave one to four) and bi-monthly (wave five to seven) basis. Furthermore, respondents were divided into four groups. The different groups of a new wave were invited to the survey at weekly intervals (wave two to four) or bi-weekly intervals (wave five to seven). This gives us the advantage of being able to provide weekly data while each participant only had to participate on a monthly or bi-monthly basis. In this article, we delineate the HOPP study in terms of its main goals and features, topics, and survey design. Furthermore, we provide a summary of results derived from HOPP and the future prospects of the study.

Suggested Citation

  • Georg-Christoph Haas & Bettina Müller & Christopher Osiander & Julia Schmidtke & Annette Trahms & Marieke Volkert & Stefan Zins, 2021. "Development of a new COVID-19 panel survey: the IAB high-frequency online personal panel (HOPP)," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 55(1), pages 1-14, December.
    • Handle: RePEc:spr:jlabrs:v:55:y:2021:i:1:d:10.1186_s12651-021-00295-z
    DOI: 10.1186/s12651-021-00295-z
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    References listed on IDEAS

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    1. repec:iab:iabfda:201902(en is not listed on IDEAS
    2. Antoni, Manfred & Schmucker, Alexandra & Seth, Stefan & Vom Berge, Philipp, 2019. "Sample of integrated labour market biographies (SIAB) 1975-2017," FDZ Datenreport. Documentation on Labour Market Data 201902_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
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    Cited by:

    1. Christina Boll & Dana Müller & Simone Schüller, 2023. "Neither backlash nor convergence: dynamics of intra-couple childcare division during the Covid-19 pandemic in Germany," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 57(1), pages 1-17, December.
    2. Christina Boll & Dana Müller & Simone Schüller, 2021. "Neither Backlash nor Convergence: Dynamics of Intracouple Childcare Division after the First Covid-19 Lockdown and Subsequent Reopening in Germany," CESifo Working Paper Series 9091, CESifo.
    3. Ansgar Hudde & Marita Jacob, 2023. "There’s More in the Data! Using Month-Specific Information to Estimate Changes Before and After Major Life Events," SOEPpapers on Multidisciplinary Panel Data Research 1184, DIW Berlin, The German Socio-Economic Panel (SOEP).
    4. Hudde, Ansgar & Jacob, Marita, 2022. "There’s More in the Data! Using Month-Specific Information to Estimate Changes Before and After Major Life Events," SocArXiv vueas, Center for Open Science.
    5. Heusler, Anna & Osiander, Christopher & Schmidtke, Julia, 2022. "Essential for society but not equally deserving of preferential treatment? A discrete-choice experiment regarding COVID-19 healthcare," Social Science & Medicine, Elsevier, vol. 311(C).
    6. Alipour, Jean-Victor & Falck, Oliver & Schüller, Simone, 2023. "Germany’s capacity to work from home," European Economic Review, Elsevier, vol. 151(C).
    7. Knize, Veronika & Tobler, Lina & Christoph, Bernhard & Fervers, Lukas & Jacob, Marita, 2021. "Workin’ moms ain’t doing so bad: Evidence on the gender gap in working hours at the outset of the COVID-19 pandemic [Läuft bei Müttern: Zur Entwicklung der Geschlechterunterschiede in der Arbeitsze," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue Early Vie.
    8. Michael Christl & Silvia Poli & Tine Hufkens & Andreas Peichl & Mattia Ricci, 2023. "The role of short-time work and discretionary policy measures in mitigating the effects of the COVID-19 crisis in Germany," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(4), pages 1107-1136, August.
    9. Goldfayn-Frank, Olga & Lewis, Vivien & Wehrhöfer, Nils, 2022. "Spending effects of child-related fiscal transfers," Discussion Papers 26/2022, Deutsche Bundesbank.

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