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Einkommensmessungen in Haushaltspanelstudien für Deutschland: Ein Vergleich von EU-SILC und SOEP

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  • Joachim Frick
  • Kristina Krell

Abstract

Analysen zu Einkommensungleichheit, Armut und Mobilität in Deutschland basieren überwiegend auf den Mikrodaten der amtlichen deutschen Stichprobe der European Union Statistics on Income and Living Conditions (EU-SILC) und des wissenschaftsgetragenen Sozio-oekonomischen Panels (SOEP). Dabei kommt den EU-SILC-Daten neben ihrer Relevanz für die nationale Berichterstattung eine große internationale Bedeutung zu für die EU-weit vergleichende Erfassung, Beschreibung und Analyse des von der Europäischen Kommission spezifizierten Ziels der Armutsbekämpfung und Minderung der sozialen Ungleichheit im Rahmen des sozialen Kohäsionsprozesses in Europa. Insofern ist es nahe liegend, den deutschen Beitrag zu EU-SILC einer intensiven Qualitätsprüfung zu unterziehen; zumal es in der Literatur (vgl. Hauser 2007, Causa et al. 2009, Nolan et al. 2009) deutliche Hinweise auf Probleme dieser noch jungen Erhebung bezüglich der Repräsentation bestimmter sozialer Gruppen und der Verteilung zentraler Bildungscharakteristika gibt, was einen nicht unerheblichen Einfluss auf Ausmaß und Struktur von Ungleichheit und Armut haben kann. Während in der Literatur auch die Querschnittsdaten der amtlichen Einkommens- und Verbrauchsstichprobe (EVS) in kritische Vergleiche einbezogen werden, konzentriert sich dieses Papier auf den Vergleich von EU-SILC-basierten Ergebnissen zu Ein-kommensentwicklung, Ungleichheit und Mobilität mit jenen auf Basis des SOEP als einer national und international viel genutzten alternativen Erhebung der sozio-oekonomischen Entwicklung privater Haushalte in Deutschland. Die dabei festgestellten, zum Teil gravierenden Unterschiede werden vor dem Hintergrund unterschiedlicher Erhebungs- und Befragungsmethoden bzw. Stichprobencharakteristika diskutiert, die einen großen Einfluss auf die inhaltlich motivierten Untersuchungsergebnisse und somit auf die Kernaussagen zur sozialen Situation Deutschlands im EU-weiten Vergleich haben.
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  • Joachim Frick & Kristina Krell, 2011. "Einkommensmessungen in Haushaltspanelstudien für Deutschland: Ein Vergleich von EU-SILC und SOEP," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 5(3), pages 221-248, December.
    • Handle: RePEc:spr:astaws:v:5:y:2011:i:3:p:221-248
    DOI: 10.1007/s11943-011-0107-1
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    1. Richard Hauser, 2007. "Probleme des deutschen Beitrags zu EU-SILC aus der Sicht der Wissenschaft: ein Vergleich von EU-SILC, Mikrozensus und SOEP," SOEPpapers on Multidisciplinary Panel Data Research 69, DIW Berlin, The German Socio-Economic Panel (SOEP).
    2. Frick, Joachim R. & Grabka, Markus M. & Groh-Samberg, Olaf, 2012. "The Impact of Home Production on Economic Inequality in Germany," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 43(3), pages 1143-1169.
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    5. Joachim Frick & Kristina Krell, 2011. "Einkommensmessungen in Haushaltspanelstudien für Deutschland: Ein Vergleich von EU-SILC und SOEP," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 5(3), pages 221-248, December.
    6. Orsetta Causa & Sophie Dantan & Åsa Johansson, 2009. "Intergenerational Social Mobility in European OECD Countries," OECD Economics Department Working Papers 709, OECD Publishing.
    7. Joachim R. Frick & Markus M. Grabka & Olaf Groh-Samberg, 2007. "Economic Gains from Publicly Provided Education in Germany," Discussion Papers of DIW Berlin 709, DIW Berlin, German Institute for Economic Research.
    8. Atkinson, Tony & Cantillon, Bea & Marlier, Eric & Nolan, Brian, 2002. "Social Indicators: The EU and Social Inclusion," OUP Catalogue, Oxford University Press, number 9780199253494.
    9. Bardasi, Elena & Beegle, Kathleen & Dillon, Andrew & Serneels, Pieter, 2010. "Do labor statistics depend on how and to whom the questions are asked ? results from a survey experiment in Tanzania," Policy Research Working Paper Series 5192, The World Bank.
    10. Tim Goedemé, 2010. "The standard error of estimates based on EU-SILC. An exploration through the Europe 2020 poverty indicators," Working Papers 1009, Herman Deleeck Centre for Social Policy, University of Antwerp.
    11. Joachim R. Frick & Markus M. Grabka, 2008. "Niedrigere Arbeitslosigkeit sorgt für weniger Armutsrisiko und Ungleichheit," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 75(38), pages 556-566.
    12. Orsetta Causa & Åsa Johansson, 2009. "Intergenerational Social Mobility," OECD Economics Department Working Papers 707, OECD Publishing.
    13. Richard Hauser, 2008. "Problems of the German Contribution to EU-SILC: A Research Perspective, Comparing EU-SILC, Microcensus and SOEP," SOEPpapers on Multidisciplinary Panel Data Research 86, DIW Berlin, The German Socio-Economic Panel (SOEP).
    14. 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.
    15. Fields, Gary S. & Ok, Efe A., 1996. "The Meaning and Measurement of Income Mobility," Journal of Economic Theory, Elsevier, vol. 71(2), pages 349-377, November.
    16. Frick, Joachim R. & Goebel, Jan & Schechtman, Edna & Wagner, Gert G. & Yitzhaki, Shlomo, 2004. "Using Analysis of Gini (ANoGi) for Detecting Whether Two Sub-Samples Represent the Same Universe: The SOEP Experience," IZA Discussion Papers 1049, Institute of Labor Economics (IZA).
    17. Tony Atkinson & Bea Cantillon & Eric Marlier & Brian Nolan, 2002. "Indicators for Social Inclusion," Politica economica, Società editrice il Mulino, issue 1, pages 7-28.
    18. Gert Wagner & Jan Göbel & Peter Krause & Rainer Pischner & Ingo Sieber, 2008. "Das Sozio-oekonomische Panel (SOEP): Multidisziplinäres Haushaltspanel und Kohortenstudie für Deutschland – Eine Einführung (für neue Datennutzer) mit einem Ausblick (für erfahrene Anwender)," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 2(4), pages 301-328, December.
    19. Brian Nolan & Gosta Esping-Andersen & Christopher T. Whelan & Bertrand Maitre, 2010. "The Role of Social Institutions in Inter-Generational Mobility," Working Papers 201018, Geary Institute, University College Dublin.
    20. Richard Hauser, 2007. "Probleme des deutschen Beitrags zu EU-SILC aus der Sicht der Wissenschaft – Ein Vergleich von EU-SILC, Mikrozensus und SOEP," RatSWD Working Papers 3, German Data Forum (RatSWD).
    21. Daniel H. Hill & Robert J. Willis, 2001. "Reducing Panel Attrition: A Search for Effective Policy Instruments," Journal of Human Resources, University of Wisconsin Press, vol. 36(3), pages 416-438.
    22. 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.
    23. Shorrocks, A F, 1978. "The Measurement of Mobility," Econometrica, Econometric Society, vol. 46(5), pages 1013-1024, September.
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    Citations

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    Cited by:

    1. Katja Landau & Stephan Klasen & Walter Zucchini, 2012. "Measuring Vulnerability to Poverty Using Long-Term Panel Data," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 118, Courant Research Centre PEG.
    2. Stephan Kampelmann & François Rycx, 2011. "Does institutional diversity account for pay rules in Germany and Belgium?," DULBEA Working Papers 11-12, ULB -- Universite Libre de Bruxelles.
    3. Hans Brachinger, 2011. "Vorwort des Herausgebers," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 4(4), pages 249-251, January.
    4. Kai Daniel Schmid & Ulrike Stein, 2013. "Explaining Rising Income Inequality in Germany, 1991-2010," SOEPpapers on Multidisciplinary Panel Data Research 592, DIW Berlin, The German Socio-Economic Panel (SOEP).
    5. Erich Oltmanns & Albert Braakmann & Joachim Schmidt, 2014. "Monitoring Subjective Well-Being: Some New Empirical Evidence for Germany," SOEPpapers on Multidisciplinary Panel Data Research 696, DIW Berlin, The German Socio-Economic Panel (SOEP).
    6. Christoph Schinke, 2012. "Inheritance in Germany 1911 to 2009: A Mortality Multiplier Approach," SOEPpapers on Multidisciplinary Panel Data Research 462, DIW Berlin, The German Socio-Economic Panel (SOEP).
    7. Joachim Frick & Kristina Krell, 2011. "Einkommensmessungen in Haushaltspanelstudien für Deutschland: Ein Vergleich von EU-SILC und SOEP," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 5(3), pages 221-248, December.
    8. François Rycx & Stephan Kampelmann, 2013. "Who Earns Minimum Wages in Europe? New Evidence Based on Household Surveys," DULBEA Working Papers 13-01, ULB -- Universite Libre de Bruxelles.

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    More about this item

    Keywords

    Einkommensungleichheit; Armut; Mobilität; Haushaltspanel; EU-SILC; SOEP; D3; C8; I3; Income inequality; Poverty; Mobility; Household panel; EU-SILC; SOEP;
    All these keywords.

    JEL classification:

    • D3 - Microeconomics - - Distribution
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty

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