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GINI DP 29: Imputed rent and income re-ranking. Evidence from EU-SILC data

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  • Virginia Maestri

Abstract

The inclusion of the in-kind housing advantage in the concept of economic well-being reduces inequality and poverty in most European countries. However, it also generates income re-ranking among households and reduces the redistributive capacity of tax systems. We calculate the proportion of households who are re-ranked due to the inclusion of imputed rent in the income concept, before and after taxes, by income quintile, tenure and age groups. We find that imputed rent re-ranks about 18% of households before taxes and 32% after taxes at European level, although the extent varies widely across countries. The analysis identifies three broad groups of countries according to the impact of imputed rent on income re-ranking for different tenure categories. In Eastern European countries, households are re-ranked more within than across tenure groups. In Southern and continental countries renters in the private market are mostly re-ranked downward and outright homeowners upward. In Nordic countries, a large share of homeowners with an outstanding mortgage is re-ranked downward, with the exception of Sweden. Older households are the ones who mostly benefit from imputed rent, again with the exception of Sweden. The paper concludes with some remarks on EU-SILC data.

Suggested Citation

  • Virginia Maestri, 2012. "GINI DP 29: Imputed rent and income re-ranking. Evidence from EU-SILC data," GINI Discussion Papers 29, AIAS, Amsterdam Institute for Advanced Labour Studies.
  • Handle: RePEc:aia:ginidp:29
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    File URL: https://www1.feb.uva.nl/aias/DP29-Maestri.pdf
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    References listed on IDEAS

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    1. Dan Andrews & Aida Caldera Sánchez & Åsa Johansson, 2011. "Housing Markets and Structural Policies in OECD Countries," OECD Economics Department Working Papers 836, OECD Publishing.
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    Cited by:

    1. Pirmin Fessler & Miriam Rehm & Lukas Tockner, 2016. "The impact of housing non-cash income on the household income distribution in Austria," Urban Studies, Urban Studies Journal Limited, vol. 53(13), pages 2849-2866, October.
    2. Virginia Maestri, 2015. "A Measure of Income Poverty Including Housing: Benefits and Limitations for Policy Making," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 121(3), pages 675-696, April.
    3. Paul Beer & Wiemer Salverda, 2014. "2014-16: Piketty in the Netherlands - The first reception," Labour markets and industrial relations in the Netherlands - Working Papers 2014-16, AIAS, Amsterdam Institute for Advanced Labour Studies.
    4. Fessler, Pirmin & Rehm, Miriam & Tockner, Lukas, 2014. "The impact of housing non-cash income on the unconditional distribution of household income in Austria," Working Paper Series 1718, European Central Bank.

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