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The economic research potentials of the German Socio-Economic Panel study

Author

Listed:
  • Schröder Carsten

    (Socio-Economic Panel at DIW Berlin, Berlin, Germany)

  • König Johannes

    (Socio-Economic Panel at DIW Berlin, Berlin, Germany)

  • Fedorets Alexandra

    (Socio-Economic Panel at DIW Berlin, Berlin, Germany)

  • Goebel Jan

    (Socio-Economic Panel at DIW Berlin, Berlin, Germany)

  • Grabka Markus M.

    (Socio-Economic Panel at DIW Berlin, Berlin, Germany)

  • Lüthen Holger

    (Socio-Economic Panel at DIW Berlin, Berlin, Germany)

  • Metzing Maria

    (Socio-Economic Panel at DIW Berlin, Berlin, Germany)

  • Schikora Felicitas

    (Socio-Economic Panel at DIW Berlin, Berlin, Germany)

  • Liebig Stefan

    (Socio-Economic Panel at DIW Berlin, Berlin, Germany)

Abstract

We provide a concise introduction to a household-panel data infrastructure that provides the international research community with longitudinal data of private households in Germany since 1984: the German Socio-Economic Panel (SOEP). We demonstrate the comparative strength of the SOEP data in answering economically-relevant questions by highlighting its diverse and impactful applications throughout the field.

Suggested Citation

  • Schröder Carsten & König Johannes & Fedorets Alexandra & Goebel Jan & Grabka Markus M. & Lüthen Holger & Metzing Maria & Schikora Felicitas & Liebig Stefan, 2020. "The economic research potentials of the German Socio-Economic Panel study," German Economic Review, De Gruyter, vol. 21(3), pages 335-371, September.
    • Handle: RePEc:bpj:germec:v:21:y:2020:i:3:p:335-371
    DOI: 10.1515/ger-2020-0033
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    1. Frank M. Fossen & Johannes König & Carsten Schröder, 2024. "Risk preference and entrepreneurial investment at the top of the wealth distribution," Empirical Economics, Springer, vol. 66(2), pages 735-761, February.
    2. Stüber, Heiko & Grabka, Markus M. & Schnitzlein, Daniel D., 2023. "A tale of two data sets: comparing German administrative and survey data using wage inequality as an example," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 57, pages 1-8.
    3. Schmidt, Torsten & Barabas, György & Benner, Niklas & Dirks, Maximilian & Isaak, Niklas & Jessen, Robin & Schacht, Philip & Steuernagel, Anne, 2022. "Die wirtschaftliche Entwicklung im Inland: Gestiegene Energiepreise belasten die Erholung," RWI Konjunkturberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, vol. 73(1), pages 39-78.
    4. Christian Grund & Katja Rebecca Tilkes, 2021. "Working Time Mismatch and Job Satisfaction: The Role of Employees’ Time Autonomy and Gender," SOEPpapers on Multidisciplinary Panel Data Research 1149, DIW Berlin, The German Socio-Economic Panel (SOEP).
    5. Petrik Runst & Jörg Thomä, 2023. "Resilient entrepreneurs? — revisiting the relationship between the Big Five and self-employment," Small Business Economics, Springer, vol. 61(1), pages 417-443, June.
    6. Fedorets Alexandra & Kirchner Stefan & Adriaans Jule & Giering Oliver, 2022. "Data on Digital Transformation in the German Socio-Economic Panel," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 242(5-6), pages 691-705, December.
    7. Lüthen Holger & Schröder Carsten & Grabka Markus M. & Goebel Jan & Mika Tatjana & Brüggmann Daniel & Ellert Sebastian & Penz Hannah, 2022. "SOEP-RV: Linking German Socio-Economic Panel Data to Pension Records," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 242(2), pages 291-307, April.
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    More about this item

    Keywords

    panel data; Socio-Economic Panel; inequality; policy evaluations; wellbeing; health; education; demographic economics; labor economics; wages; mobility; migration; behavioral economics; experiments;
    All these keywords.

    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation
    • D1 - Microeconomics - - Household Behavior
    • D3 - Microeconomics - - Distribution
    • D6 - Microeconomics - - Welfare Economics
    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • D9 - Microeconomics - - Micro-Based Behavioral Economics
    • I00 - Health, Education, and Welfare - - General - - - General
    • J1 - Labor and Demographic Economics - - Demographic Economics
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor
    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs
    • J6 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers

    Statistics

    Access and download statistics

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