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Multidimensional Well-Being at the Top: Evidence for Germany

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  • Andreas Peichl
  • Nico Pestel

Abstract

This paper employs a multidimensional approach for the measurement of well-being at the top of the distribution using German SOEP micro data. Besides income as traditional indicator for material well-being, we include health as a proxy for nonmaterial quality of life as well as self-reported satisfaction with life as dimensions. We find that one third of the German population is well-off in at least one dimension but only one percent in all three dimensions simultaneously. While the distribution of income has become more concentrated at the top, the concentration at the top of the multidimensional well-being distribution has decreased over time. Moreover, health as well as life satisfaction contribute quite substantially to multidimensional wellbeing at the top which has important policy implications.

Suggested Citation

  • Andreas Peichl & Nico Pestel, 2011. "Multidimensional Well-Being at the Top: Evidence for Germany," SOEPpapers on Multidisciplinary Panel Data Research 425, DIW Berlin, The German Socio-Economic Panel (SOEP).
    • Handle: RePEc:diw:diwsop:diw_sp425
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    References listed on IDEAS

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    Cited by:

    1. David Gallusser & Matthias Krapf, 2022. "Joint Income-Wealth Inequality: Evidence from Lucerne Tax Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(1), pages 251-295, August.
    2. Kontbay-Busun, Sine & Peichl, Andreas, 2014. "Multidimensional affluence in income and wealth in the eurozone: A cross country comparison using the HFCS," ZEW Discussion Papers 14-124, ZEW - Leibniz Centre for European Economic Research.
    3. Cantó, Olga & García-Pérez, Carmelo & Romaguera-de-la-Cruz, Marina, 2020. "The dimension, nature and distribution of economic insecurity in European countries: A multidimensional approach," Economic Systems, Elsevier, vol. 44(3).
    4. Okushima, Shinichiro, 2017. "Gauging energy poverty: A multidimensional approach," Energy, Elsevier, vol. 137(C), pages 1159-1166.
    5. Haya Al-Ajlani & Luc Van Ootegem & Elsy Verhofstadt, 2019. "What is Important for Well-Being?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(3), pages 955-972, June.
    6. Arnaud Joskin, 2017. "Working Paper 04-17 - Qu’est-ce qui compte pour les Belges ? Analyse des déterminants du bien-être individuel en Belgique [Working Paper 04-17 - Wat telt voor de Belgen? Analyse van de determinante," Working Papers 1704, Federal Planning Bureau, Belgium.
    7. David Gallusser & Matthias Krapf, 2019. "Joint Income-Wealth Inequality: An Application Using Administrative Tax Data," CESifo Working Paper Series 7876, CESifo.

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    More about this item

    Keywords

    Multidimensional measurement; well-being; Germany;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

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