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Der Einfluß von Imputed Rent auf die personelle Einkommensverteilung. The Impact of Imputed Rent on the Personal Distribution of Income

Author

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  • Frick Joachim R.

    () (DIW Berlin, Königin-Luise-Str. 5, D-14195 Berlin)

  • Grabka Markus M.

    () (M. A., DIW Berlin, Königin-Luise-Str. 5, D-14195 Berlin)

Abstract

This article deals with various methods concerning income advantages of owner occupied housing (imputed rental value or imputed rents), which shows to be one of the most important nonmonetary income components. We also explore the effects of such advantages on the personal distribution of income. Following a description of the theoretical aspects of the various methods as well as their advantages and disadvantages, an empirical study based on the micro-data of the German Socio-Economic Panel (SOEP) is then presented. In conclusion, recommendations for taking imputed rent into account in analysis of the distribution of individual income and income mobility are given, based on the theoretical framework and the empirical results of this study. Most important results of our analysis include (a) a slight decrease in overall income inequality due to the inclusion of imputed rent, and (b) a positive income advantage for the elderly, thus confirming the specific role of owner occupied housing as a means of old age provision.

Suggested Citation

  • Frick Joachim R. & Grabka Markus M., 2001. "Der Einfluß von Imputed Rent auf die personelle Einkommensverteilung. The Impact of Imputed Rent on the Personal Distribution of Income," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 221(3), pages 285-308, June.
  • Handle: RePEc:jns:jbstat:v:221:y:2001:i:3:p:285-308
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    References listed on IDEAS

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    1. Richard V. Burkhauser & John G. Poupore, 1997. "A Cross-National Comparison Of Permanent Inequality In The United States And Germany," The Review of Economics and Statistics, MIT Press, vol. 79(1), pages 10-17, February.
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    4. Cowell, F.A., 2000. "Measurement of inequality," Handbook of Income Distribution,in: A.B. Atkinson & F. Bourguignon (ed.), Handbook of Income Distribution, edition 1, volume 1, chapter 2, pages 87-166 Elsevier.
    5. Cheol-Joo Cho, 1997. "Joint Choice of Tenure and Dwelling Type: A Multinomial Logit Analysis for the City of Chongju," Urban Studies, Urban Studies Journal Limited, vol. 34(9), pages 1459-1473, August.
    6. Böheim, René & Jenkins, Stephen P., 2000. "Do current income and annual income measures provide different pictures of Britain's income distribution?," ISER Working Paper Series 2000-16, Institute for Social and Economic Research.
    7. Yates, Judith, 1994. "Imputed Rent and Income Distribution," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 40(1), pages 43-66, March.
    8. Aaberge, Rolf & Melby, Ingrid, 1998. "The Sensitivity of Income Inequality to Choice of Equivalence Scales," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 44(4), pages 565-569, December.
    9. Joachim R. Frick & Markus M. Grabka, 2000. "Personelle Einkommensverteilung und der Einfluß von Imputed Rent," Discussion Papers of DIW Berlin 225, DIW Berlin, German Institute for Economic Research.
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    Cited by:

    1. Markus M. Grabka, 2006. "Codebook for the $PEQUIV File 1984-2005: CNEF Variables with Extended Income Information for the SOEP," Data Documentation 12, DIW Berlin, German Institute for Economic Research.
    2. Markus M. Grabka, 2007. "Codebook for the $PEQUIV File 1984-2006: CNEF Variables with Extended Income Information for the SOEP," Data Documentation 21, DIW Berlin, German Institute for Economic Research.
    3. Joachim R. Frick & Markus M. Grabka, 2002. "The Personal Distribution of Income and Imputed Rent: A Cross-National Comparison for the UK, West Germany and the USA," Discussion Papers of DIW Berlin 271, DIW Berlin, German Institute for Economic Research.
    4. Frick, Joachim R. & Grabka, Markus M. & Smeeding, Timothy M. & Tsakloglou, Panos, 2010. "Distributional Effects of Imputed Rents in Five European Countries," EconStor Open Access Articles, ZBW - German National Library of Economics, pages 167-179.
    5. Kumpmann Ingmar & Gühne Michael & Buscher Herbert S., 2012. "Armut im Alter – Ursachenanalyse und eine Projektion für das Jahr 2023: Old Age Poverty – Causes and a Projection for 2023," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(1), pages 61-83, February.
    6. Kurz, Claudia & Hoffmann, Johannes, 2004. "A rental-equivalence index for owner-occupied housing in West Germany 1985 to 1998," Discussion Paper Series 1: Economic Studies 2004,08, Deutsche Bundesbank.
    7. Markus M. Grabka, 2011. "Codebook for the $PEQUIV File 1984-2010: CNEF Variables with Extended Income Information for the SOEP," Data Documentation 57, DIW Berlin, German Institute for Economic Research.
    8. Joachim R. Frick & Jan Goebel & Markus M. Grabka, 2007. "Assessing the Distributional Impact of "Imputed Rent" and "Non-cash Employee Income" in Microdata: Case Studies Based on EU-SILC (2004) and SOEP (2002)," SOEPpapers on Multidisciplinary Panel Data Research 2, DIW Berlin, The German Socio-Economic Panel (SOEP).
    9. Hoffmann, Johannes & Kurz, Claudia, 2002. "Rent indices for housing in West Germany 1985 to 1998," Working Paper Series 0116, European Central Bank.
    10. Markus M. Grabka, 2008. "Codebook for the $PEQUIV File 1984-2007: CNEF Variables with Extended Income Information for the SOEP," Data Documentation 34, DIW Berlin, German Institute for Economic Research.
    11. Markus M. Grabka, 2005. "Codebook for the $PEQUIV File 1984-2004: CNEF Variables with Extended Income Information for the SOEP," Data Documentation 7, DIW Berlin, German Institute for Economic Research.
    12. Markus M. Grabka, 2012. "Codebook for the $PEQUIV File 1984-2011: CNEF Variables with Extended Income Information for the SOEP," Data Documentation 65, DIW Berlin, German Institute for Economic Research.

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