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Extending the Empirical Basis for Wealth Inequality Research Using Statistical Matching of Administrative and Survey Data


  • Anika Rasner
  • Joachim R. Frick
  • Markus M. Grabka


Social security entitlements are a substantial source of wealth that grows in importance over the individual's lifecycle. Despite its quantitative relevance, social security wealth has been thus far omitted from wealth inequality analyses. In Germany, it is the lack of adequate micro data that accounts for this shortcoming. The two main contributions of this paper are: First, to elaborate a statistical matching approach that complements information on net worth as surveyed in the German Socio-Economic Panel (SOEP), a population representative panel study, with information on social security wealth from the Sample of Active Pension Accounts (SAPA), a large-scale administrative dataset maintained by the German Statutory Pension Insurance. Second, we show to what extent the inclusion of social security wealth affects the level and the distribution of individual net worth as well as overall inequality. The present value of pension entitlements (including entitlements from the statutory pension system as well as from the separate system for civil servants) amounts to 5.6 trillion Euros, which corresponds to an average of 78,500 Euros per person - thus almost doubling the level of net worth. Compared to results based on net worth only, inequality of our amended wealth measure is about 25 percent less. Moreover, we present significant differences in pension entitlements across occupational groups with civil servants gaining most from the inclusion of public pension wealth in the extended wealth meas-ure and self-employed benefiting the least. Overall, our results provide clear indication for the relevance of including the notional wealth held in pension entitlements providing a less biased picture of the level and the socio-economic structure of wealth in Germany. Above and beyond such within-country variation, our findings may also be most relevant for comparative analyses across welfare-regimes.

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  • Anika Rasner & Joachim R. Frick & Markus M. Grabka, 2011. "Extending the Empirical Basis for Wealth Inequality Research Using Statistical Matching of Administrative and Survey Data," SOEPpapers on Multidisciplinary Panel Data Research 359, DIW Berlin, The German Socio-Economic Panel (SOEP).
  • Handle: RePEc:diw:diwsop:diw_sp359

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    References listed on IDEAS

    1. Axel Borsch-Supan & Reinhold Schnabel, 1999. "Social Security and Retirement in Germany," NBER Chapters,in: Social Security and Retirement around the World, pages 135-180 National Bureau of Economic Research, Inc.
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    Cited by:

    1. Andreas Peichl & Nico Pestel, 2013. "Multidimensional affluence: theory and applications to Germany and the US," Applied Economics, Taylor & Francis Journals, vol. 45(32), pages 4591-4601, November.
    2. Baris Ucar & Gianni Betti, 2016. "Longitudinal statistical matching: transferring consumption expenditure from HBS to SILC panel survey," Department of Economics University of Siena 739, Department of Economics, University of Siena.
    3. Joachim R. Frick & Markus M. Grabka & Anika Rasner & Marian Schmidt & Morten Schuth & Christian Westermeier, 2012. "Familienbiographische Verläufe im Kohortenvergleich," SOEPpapers on Multidisciplinary Panel Data Research 439, DIW Berlin, The German Socio-Economic Panel (SOEP).

    More about this item


    Wealth inequality; statistical matching; public pension entitlements; SOEP;

    JEL classification:

    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • I39 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Other

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