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Monitoring Subjective Well-Being: Some New Empirical Evidence for Germany

Author

Listed:
  • Erich Oltmanns
  • Albert Braakmann
  • Joachim Schmidt
Abstract
What is subjective well-being influenced by? Since the Report by the Commission on the Measurement of Economic Performance and Social Progress by Stiglitz, Sen and Fitoussi a huge number of studies has raised this question – with partly different findings. In addition, international organizations are increasingly addressing subjective well-being issues. The post-2015 development agenda of the United Nations as well as the inclusive growth strategy of the OECD may be quoted as examples. Facing the current state of national and international discussion, this paper analyses appropriate indicators for the mostly named factors influencing subjective well-being. The goal of the empirical study for Germany is twofold: First of all, the indicators discussed prominently are analysed with regard to the relevance for explaining the degree of subjective well-being (micro level). Secondly, it is examined, whether the relevance of these indicators changes over time. The empirical results presented in this paper are mainly based on yearly longitudinal data of private households in Germany. Currently, the data set covers about 21,000 individuals living in more than 12,000 private households. The data set provides information on various indicators for subjective well-being mentioned by most of the recent studies, like for instance people’s life-circumstances and individual assessments. Concluding remarks concern on one hand the question if data from EU-SILC (because of its Europe-wide coverage) are useful in this context. On the other hand the combination of data at the micro level with indicators at the aggregate level is discussed as well.

Suggested Citation

  • 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).
    • Handle: RePEc:diw:diwsop:diw_sp696
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    File URL: https://www.diw.de/documents/publikationen/73/diw_01.c.486441.de/diw_sp0696.pdf
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    References listed on IDEAS

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    3. Sonja C. Kassenboehmer & Christoph M. Schmidt, 2010. "Beyond GDP and Back: What is the Value-Added by Additional Components of Welfare Measurement?," RatSWD Working Papers 167, German Data Forum (RatSWD).
    4. David G. Blanchflower, 2009. "International Evidence on Well-Being," NBER Chapters, in: Measuring the Subjective Well-Being of Nations: National Accounts of Time Use and Well-Being, pages 155-226, National Bureau of Economic Research, Inc.
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    6. Krueger, Alan B. (ed.), 2009. "Measuring the Subjective Well-Being of Nations," National Bureau of Economic Research Books, University of Chicago Press, number 9780226454566, August.
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    8. 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.
    9. Krueger, Alan B. (ed.), 2009. "Measuring the Subjective Well-Being of Nations," University of Chicago Press Economics Books, University of Chicago Press, number 9780226454573, December.
    10. André Hajek, 2011. "Lebenszufriedenheit und Einkommensreichtum: eine empirische Analyse mit dem SOEP," SOEPpapers on Multidisciplinary Panel Data Research 362, DIW Berlin, The German Socio-Economic Panel (SOEP).
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    Cited by:

    1. Mathias Kloss & Thomas Kirschstein & Steffen Liebscher & Martin Petrick, 2019. "Robust Productivity Analysis: An application to German FADN data," Papers 1902.00678, arXiv.org, revised Feb 2019.

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    More about this item

    Keywords

    Gross domestic product; Stiglitz-Sen-Fitoussi-Report; quality of life; Socioeconomic Panel (SOEP); Germany;
    All these keywords.

    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

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