IDEAS home Printed from https://ideas.repec.org/a/jns/jbstat/v239y2019i2p345-360n7.html
   My bibliography  Save this article

The German Socio-Economic Panel (SOEP)

Author

Listed:
  • Goebel Jan

    ()

  • Grabka Markus M.

    ()

  • Liebig Stefan

    ()

  • Kroh Martin

    ()

  • Richter David

    ()

  • Schröder Carsten

    ()

  • Schupp Jürgen

    () (German Institute for Economic Research, Mohrenstr. 58, 10117Berlin, Germany)

Abstract

No abstract is available for this item.

Suggested Citation

  • Goebel Jan & Grabka Markus M. & Liebig Stefan & Kroh Martin & Richter David & Schröder Carsten & Schupp Jürgen, 2019. "The German Socio-Economic Panel (SOEP)," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(2), pages 345-360, April.
  • Handle: RePEc:jns:jbstat:v:239:y:2019:i:2:p:345-360:n:7
    as

    Download full text from publisher

    File URL: https://www.degruyter.com/view/j/jbnst.2019.239.issue-2/jbnst-2018-0022/jbnst-2018-0022.xml?format=INT
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Mathis Schröder & Rainer Siegers & C. Katharina Spießss, 2013. ""Familien in Deutschalnd" - FiD," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 133(4), pages 595-606.
    2. Michael Weinhardt & Alexia Meyermann & Stefan Liebig & Jürgen Schupp, 2016. "The Linked Employer-Employee Study of the Socio-Economic Panel (SOEP-LEE): Project Report," SOEPpapers on Multidisciplinary Panel Data Research 829, DIW Berlin, The German Socio-Economic Panel (SOEP).
    3. Weinhardt Michael & Liebig Stefan & Meyermann Alexia & Schupp Jürgen, 2017. "The Linked Employer–Employee Study of the Socio-Economic Panel (SOEP-LEE): Content, Design and Research Potential," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 237(5), pages 457-467, October.
    4. David Richter & Jürgen Schupp, 2015. "The SOEP Innovation Sample (SOEP IS)," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 135(3), pages 389-400.
    5. Rammstedt, Beatrice & Martin, Silke & Zabal, Anouk & Carstensen, Claus & Schupp, Jürgen, 2017. "The PIAAC longitudinal study in Germany: rationale and design," EconStor Open Access Articles, ZBW - Leibniz Information Centre for Economics, pages 1-11.
    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. Fossen, Frank M. & Neyse, Levent & Johannesson, Magnus & Dreber Almenberg, Anna, 2020. "2D:4D and Self-Employment Using SOEP Data: A Replication Study," IZA Discussion Papers 13180, Institute of Labor Economics (IZA).
    2. Weinhardt Michael & Liebig Stefan & Meyermann Alexia & Schupp Jürgen, 2017. "The Linked Employer–Employee Study of the Socio-Economic Panel (SOEP-LEE): Content, Design and Research Potential," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 237(5), pages 457-467, October.
    3. Müller, Kai-Uwe & Neumann, Michael & Wrohlich, Katharina, 2018. "The family working-time model: Towards more gender equality in work and care," EconStor Open Access Articles, ZBW - Leibniz Information Centre for Economics, pages 471-486.
    4. Sabine Hommelhoff & David Richter & Cornelia Niessen & Denis Gerstorf & Jutta Heckhausen, 2019. "Being Unengaged at Work but Still Dedicating Time and Energy: A Longitudinal Study," SOEPpapers on Multidisciplinary Panel Data Research 1048, DIW Berlin, The German Socio-Economic Panel (SOEP).
    5. Clemens M Lechner & Daniel Danner & Beatrice Rammstedt, 2019. "Grit (effortful persistence) can be measured with a short scale, shows little variation across socio-demographic subgroups, and is associated with career success and career engagement," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-29, November.
    6. Dave Möwisch & Florian Schmiedek & David Richter & Annette Brose, 2019. "Capturing Affective Well-Being in Daily Life with the Day Reconstruction Method: A Refined View on Positive and Negative Affect," Journal of Happiness Studies, Springer, vol. 20(2), pages 641-663, February.
    7. Pia S. Schober & C. Katharina Spieß & Juliane F. Stahl & Gundula Zoch & Georg F. Camehl, 2017. "The Early Childhood Education and Care Quality in the Socio-Economic Panel (SOEP-ECEC Quality) Study - K2ID-SOEP Data: Forschungsprojekt im Auftrag der Jacobs Foundation," Data Documentation 91, DIW Berlin, German Institute for Economic Research.
    8. Pawlowski, Tim & Steckenleiter, Carina & Wallrafen, Tim & Lechner, Michael, 2019. "Individual labor market effects of local public expenditures on sports," Economics Working Paper Series 1906, University of St. Gallen, School of Economics and Political Science.
    9. Maximilian Stockhausen, 2017. "The Distribution of Economic Resources to Children in Germany," SOEPpapers on Multidisciplinary Panel Data Research 901, DIW Berlin, The German Socio-Economic Panel (SOEP).
    10. Friehe, Tim & Pannenberg, Markus, 2019. "Overconfidence over the lifespan: Evidence from Germany," Journal of Economic Psychology, Elsevier, vol. 74(C).
    11. Tobias Wolf & Maria Metzing & Richard E. Lucas, 2019. "Experienced Well-Being and Labor Market Status: The Role of Pleasure and Meaning," SOEPpapers on Multidisciplinary Panel Data Research 1043, DIW Berlin, The German Socio-Economic Panel (SOEP).
    12. Cobb-Clark, Deborah A. & Dahmann, Sarah Christina & Kamhöfer, Daniel A. & Schildberg-Hörisch, Hannah, 2019. "Self-control: Determinants, life outcomes and intergenerational implications," DICE Discussion Papers 319, University of Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    13. Jan Marvin Garbuszus & Notburga Ott & Sebastian Pehle & Martin Werding, 2018. "Development of Family Income since the 1990s: A Fresh Look at German Microdata Using Income-Dependent Equivalence Scales," SOEPpapers on Multidisciplinary Panel Data Research 987, DIW Berlin, The German Socio-Economic Panel (SOEP).
    14. Stockhausen, Maximilian, 2016. "The Impact of Private and Public Childcare Provision on the Distribution of Children's Incomes in Germany," VfS Annual Conference 2016 (Augsburg): Demographic Change 145638, Verein für Socialpolitik / German Economic Association.
    15. Patrick Arni & Davide Dragone & Lorenz Goette & Nicolas R. Ziebarth, 2020. "Biased Health Perceptions and Risky Health Behaviors: Theory and Evidence," Working Papers wp1146, Dipartimento Scienze Economiche, Universita' di Bologna.
    16. Zapf, Ines & Weber, Enzo, 2017. "The role of employer, job and employee characteristics for flexible working time : An empirical analysis of overtime work and flexible working hours' arrangements," IAB Discussion Paper 201704, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    17. Dave Möwisch & Annette Brose & Florian Schmiedek, 2021. "Do Higher Educated People Feel Better in Everyday Life? Insights From a Day Reconstruction Method Study," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(1), pages 227-250, January.
    18. Stahl, Juliane Frederike & Schober, Pia Sophia, 2018. "Convergence or Divergence? Educational Discrepancies in Work-Care Arrangements of Mothers with Young Children in Germany," EconStor Open Access Articles, ZBW - Leibniz Information Centre for Economics, pages 629-649.
    19. Verena Tobsch & Elke Holst, 2019. "Potenziale unfreiwilliger Teilzeit in Deutschland," SOEPpapers on Multidisciplinary Panel Data Research 1032, DIW Berlin, The German Socio-Economic Panel (SOEP).
    20. Kai Ludwigs & Richard Lucas & Ruut Veenhoven & David Richter & Lidia Arends, 2020. "Can Happiness Apps Generate Nationally Representative Datasets? - a Case Study Collecting Data on People’s Happiness Using the German Socio-Economic Panel," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 15(4), pages 1135-1149, September.

    More about this item

    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:239:y:2019:i:2:p:345-360:n:7. See general information about how to correct material in RePEc.

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

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.