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Mikrodaten, Gewichtung und Datenstruktur der Längsschnittstudie Sozio-oekonomisches Panel (SOEP)

Author

Listed:
  • Jan Goebel
  • Markus M. Grabka
  • Peter Krause
  • Martin Kroh
  • Rainer Pischner
  • Ingo Sieber
  • Martin Spieß
Abstract
Die Daten des Sozio-oekeonomischen Panels (SOEP) werden seit 1984 auf Grundlage eines mit dem Befragungsinstitut Infratest abgestimmten Erhebungskonzepts jährlich erhoben. Erfasst werden die Daten zentral in München bei TNS Infratest, aufbereitet in München und beim DIW Berlin, um dann möglichst zeitnah durch die SOEP-Gruppe am DIW Berlin an externe Nutzer weitergegeben zu werden. Das komplexe Zusammenspiel von Erhebung, Aufbereitung, Speicherung und Weitergabe der SOEP-Daten wird laufend aktualisiert und immer wieder an die jeweiligen befragungs- und datentechnischen Erfordernisse angepasst. Beispielsweise erfolgten Mitte der 80er Jahre noch alle Datenarbeiten im DIW Berlin als Mainframe-Anwendungen (IBM VM/370). Die Daten wurden von Infratest als Rohdaten (EBCDIC) mit fixer Bespaltung auf Magnetbändern übertragen. Der Umstieg auf Unix- Server erfolgte Mitte der 90er Jahre - die Daten wurden dann zum Teil auf Disketten und derzeit komplett auf CD beziehungsweise DVD geliefert. Der inzwischen weit über 20 Jahre umfassende Erhebungszeitraum spiegelt sich jedoch nicht nur in den Veränderungen der technischen Datenaufbereitung, sondern auch in den eigentlichen SOEP-Daten wieder. Neben der durch den Fall der Mauer motivierten Ausdehnung des Erhebungsgebietes auf die neuen Bundesländer zeigen sich in den SOEP-Daten weitere im Laufe der Zeit erfolgte exogene Schocks der Bevölkerungsgröße und -struktur in Deutschland. Beispielsweise stieg im Zuge des Familiennachzugs, u. a. infolge des Bürgerkriegs Anfang der 90er Jahre in Jugoslawien, der Umfang der entsprechenden SOEP-Substichprobe stark an,1 wohingegen sich z. B. das Subsample der Spanier aufgrund von Re-Migration nach dem Zusammenbruch des Franco-Regimes, den ersten freien Wahlen in Spanien 1977 und der Einbeziehung Spaniens in die EU stark verkleinert hat. Auch die aus den offenen Angaben der Befragten geäußerten Sorgen zeigen die mit weltpolitischen Ereignissen einhergehenden Ängste in der Bevölkerung auf - um AIDS, um Rechtsradikalismus, um die Ost-West-Integration, um Krieg und Terrorismus.

Suggested Citation

  • Jan Goebel & Markus M. Grabka & Peter Krause & Martin Kroh & Rainer Pischner & Ingo Sieber & Martin Spieß, 2008. "Mikrodaten, Gewichtung und Datenstruktur der Längsschnittstudie Sozio-oekonomisches Panel (SOEP)," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 77(3), pages 77-109.
    • Handle: RePEc:diw:diwvjh:77-3-7
    DOI: 10.3790/vjh.77.3.77
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    as
    1. Martin Spieß & Martin Kroh & Rainer Pischner & Gert G. Wagner, 2008. "On the Treatment of Non-Original Sample Members in the German Household Panel Study (SOEP): Tracing, Weighting, and Frequencies," SOEPpapers on Multidisciplinary Panel Data Research 98, DIW Berlin, The German Socio-Economic Panel (SOEP).
    2. repec:bla:revinw:v:43:y:1997:i:2:p:153-71 is not listed on IDEAS
    3. Jan Goebel & Peter Krause & Rainer Pischner & Ingo Sieber & Gert G. Wagner, 2008. "Daten- und Datenbankstruktur der Längsschnittstudie Sozio-oekonomisches Panel (SOEP)," SOEPpapers on Multidisciplinary Panel Data Research 89, DIW Berlin, The German Socio-Economic Panel (SOEP).
    4. Joachim R. Frick & Jan Goebel & Edna Schechtman & Gert G. Wagner & Shlomo Yitzhaki, 2006. "Using Analysis of Gini (ANOGI) for Detecting Whether Two Subsamples Represent the Same Universe," Sociological Methods & Research, , vol. 34(4), pages 427-468, May.
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    7. Pfeifer Hans, 2006. "Genossenschaftsbanken im Spannungsfeld von Wachstum und Wettbewerb - die Positionierung der Volksbanken und Raiffeisenbanken," Zeitschrift für das gesamte Genossenschaftswesen, De Gruyter, vol. 56(1), pages 173-181, September.
    8. Joachim R. Frick & Markus M. Grabka, 2003. "Imputed Rent and Income Inequality: A Decomposition Analysis for Great Britain, West Germany and the U.S," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 49(4), pages 513-537, December.
    9. Jan Goebel & C. Katharina Spieß & Nils R. J. Witte & Susanne Gerstenberg, 2007. "Die Verknüpfung des SOEP mit MICROM-Indikatoren: Der MICROM-SOEP Datensatz," Data Documentation 26, DIW Berlin, German Institute for Economic Research.
    10. Gert G. Wagner & Joachim R. Frick & Jürgen Schupp, 2007. "The German Socio-Economic Panel Study (SOEP) – Scope, Evolution and Enhancements," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(1), pages 139-169.
    11. Jürgen Gerhards & Silke Hans, 2006. "Zur Erklärung der Assimilation von Migranten an die Einwanderungsgesellschaft am Beispiel der Vergabe von Vornamen," Discussion Papers of DIW Berlin 583, DIW Berlin, German Institute for Economic Research.
    12. Frick, Joachim R. & Goebel, Jan & Schechtman, Edna & Wagner, Gert G. & Yitzhaki, Shlomo, 2006. "Using Analysis of Gini (ANOGI) for Detecting Whether Two Subsamples Represent the Same Universe: The German Socio-Economic Panel Study (SOEP) Experience," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 34(4), pages 427-468.
    13. Martin Spieß, 2005. "Derivation of Design Weights: The Case of the German Socio-Economic Panel (SOEP)," Data Documentation 8, DIW Berlin, German Institute for Economic Research.
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    1. Nicolai Suppa, 2018. "Towards a multidimensional poverty index for Germany," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(4), pages 655-683, November.
    2. Böhnke, Petra, 2009. "Abwärtsmobilität und ihre Folgen: Die Entwicklung von Wohlbefinden und Partizipation nach Verarmung," Discussion Papers, Research Unit: Inequality and Social Integration SP I 2009-205, WZB Berlin Social Science Center.
    3. Okoampah, Sarah, 2016. "Estimating earnings assimilation of immigrants to Germany: Evidence from a double cohort model," Ruhr Economic Papers 630, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    4. Brust Oliver A. & Häder Sabine & Häder Michael, 2016. "Is the Short Version of the Big Five Inventory (BFI-S) Applicable for Use in Telephone Surveys?," Journal of Official Statistics, Sciendo, vol. 32(3), pages 601-618, September.
    5. Jan Goebel & Michael Wurm, 2010. "Räumliche Unterschiede im Armutsrisiko in Ost- und Westdeutschland," SOEPpapers on Multidisciplinary Panel Data Research 321, DIW Berlin, The German Socio-Economic Panel (SOEP).
    6. Kümmerling, Angelika & Postels, Dominik & Slomka, Christine, 2017. "Zufriedenheit mit der Arbeitszeit - wie kann sie gelingen? Eine Analyse der Arbeitszeiten nach Geschlecht und Statusgruppen," Working Paper Forschungsförderung 054, Hans-Böckler-Stiftung, Düsseldorf.
    7. Nicolai Suppa, 2018. "Towards a multidimensional poverty index for Germany," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(4), pages 655-683, November.
    8. Aue, Katja & Roosen, Jutta & Jensen, Helen H., 2016. "Poverty dynamics in Germany: Evidence on the relationship between persistent poverty and health behavior," Social Science & Medicine, Elsevier, vol. 153(C), pages 62-70.
    9. Kümmerling, Angelika & Haipeter, Thomas, 2020. "Arbeitszeiten in der Nahrungsmittelbranche: Alte und neue Herausforderungen der Arbeitszeitregulierung und der Mitbestimmungspraxis der Betriebsräte," Study / edition der Hans-Böckler-Stiftung, Hans-Böckler-Stiftung, Düsseldorf, volume 127, number 441, March.

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