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The PHF: A comprehensive panel survey on household finances and wealth in Germany

Author

Listed:
  • von Kalckreuth, Ulf
  • Eisele, Martin
  • Le Blanc, Julia
  • Schmidt, Tobias
  • Zhu, Junyi

Abstract

The Panel on Household Finances (PHF) is a new panel survey on household finances and wealth in Germany conducted by the Deutsche Bundesbank. It covers the balance sheets, pension claims, savings, incomes and work histories of households, together with some information on consumption patterns, attitudes, expectations and standard demographic characteristics. This paper introduces the survey, highlights its main methodological features and presents initial results. The first wave of the survey was carried out between September 2010 and July 2011. It encompasses a net sample of 3,565 randomly selected households in Germany. Wealthy households are oversampled using micro-geographic indicators. The survey is designed to be a full panel. The micro data will be made available for scientific use. The next wave is scheduled for 2014. Aside from being a self-contained and comprehensive survey on household finances in Germany, the PHF is part of the Household Finance and Consumption Survey (HFCS). This system of surveys collects ex ante harmonised micro data in every country of the euro area.

Suggested Citation

  • von Kalckreuth, Ulf & Eisele, Martin & Le Blanc, Julia & Schmidt, Tobias & Zhu, Junyi, 2012. "The PHF: A comprehensive panel survey on household finances and wealth in Germany," Discussion Papers 13/2012, Deutsche Bundesbank.
    • Handle: RePEc:zbw:bubdps:132012
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    Citations

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    Cited by:

    1. Junyi Zhu, 2014. "Bracket Creep Revisited - with and without r > g: Evidence from Germany," Journal of Income Distribution, Ad libros publications inc., vol. 23(3), pages 106-158, November.
    2. Corneo, Giacomo G. & Bönke, Timm & Westermeier, Christian, 2016. "Erbschaft und Eigenleistung im Vermögen der Deutschen: eine Verteilungsanalyse," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 17(1), pages 35-53.
    3. Matthias Horn & Andreas Oehler, 2020. "Automated portfolio rebalancing: Automatic erosion of investment performance?," Journal of Asset Management, Palgrave Macmillan, vol. 21(6), pages 489-505, October.
    4. Tiefensee, Anita & Grabka, Markus M., 2016. "Comparing Wealth - Data Quality of the HFCS," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 10(2), pages 119-142.
    5. Flores Unzaga, Ismael Martin & Zhu, Junyi, 2014. "Bracket Creep Revisited: Progressivity and a Solution by Adjusting the Rich Tax in Germany," EconStor Preprints 100006, ZBW - Leibniz Information Centre for Economics.
    6. Tobias Schmidt & Julia Le Blanc, 2017. "Do homeowners save more? – Evidence from the Panel on Household Finances (PHF)," ERES eres2017_110, European Real Estate Society (ERES).
    7. Andreas Oehler & Matthias Horn, 2021. "Behavioural portfolio theory revisited: lessons learned from the field," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(S1), pages 1743-1774, April.
    8. Kacper Grejcz & Zbigniew Żółkiewski, 2017. "Household wealth in Poland: the results of a new survey of household finance," Bank i Kredyt, Narodowy Bank Polski, vol. 48(3), pages 295-326.
    9. Altmann Kristina & Bernard René & Le Blanc Julia & Gabor-Toth Enikö & Hebbat Malik & Kothmayr Lisa & Schmidt Tobias & Tzamourani Panagiota & Werner Daniel & Zhu Junyi, 2020. "The Panel on Household Finances (PHF) – Microdata on household wealth in Germany," German Economic Review, De Gruyter, vol. 21(3), pages 373-400, September.
    10. Becker, Gideon, 2014. "The portfolio structure of German households: A multinomial fractional response approach with unobserved heterogeneity," University of Tübingen Working Papers in Business and Economics 74, University of Tuebingen, Faculty of Economics and Social Sciences, School of Business and Economics.
    11. Theresa Köhler, 2016. "Income and Wealth Poverty in Germany," SOEPpapers on Multidisciplinary Panel Data Research 857, DIW Berlin, The German Socio-Economic Panel (SOEP).
    12. Schmidt, Tobias & Alik-Lagrange, Arthur, 2016. "The Pattern of Home Ownership Across Age Cohorts and its Impact on the German Net Wealth Distribution," VfS Annual Conference 2016 (Augsburg): Demographic Change 145604, Verein für Socialpolitik / German Economic Association.
    13. Alik-Lagrange, Arthur & Schmidt, Tobias, 2015. "The pattern of home ownership across cohorts and its impact on the net wealth distribution: Empirical evidence from Germany and the US," Discussion Papers 11/2015, Deutsche Bundesbank.

    More about this item

    Keywords

    survey data; household panel; family economics; household finance; wealth distribution; portfolio choice;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D10 - Microeconomics - - Household Behavior - - - General
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution

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