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The Joint Distribution of Household Income and Wealth: Evidence from the Luxembourg Wealth Study

Author

Listed:
  • Markus Jantti
  • Eva Sierminska
  • Tim Smeeding

Abstract

This report looks at the extent to which household net worth and disposable income are correlated across individuals. After having briefly discussed the importance of better information on household wealth for social policies, the paper describes the main features of the Luxembourg Wealth Study – a collaborative project to assemble existing micro-data on household wealth into a coherent database that aims to do for wealth what the Luxembourg Income Study has achieved for income– and some of the basic patterns highlighted by these data, while noting the important methodological features that affect comparability. The main bulk of the report focuses on the joint distribution of income and wealth. While the comprehensive definition of wealth used (i.e. including business equity) allows covering only five OECD countries, the analysis uncovers a number of patterns. In particular, household net worth and disposable income are highly, but not perfectly correlated across people within each country. Many of the people classified as income poor do have some assets, although both the prevalence of holding and the amounts are clearly lower than among the general population. While part of the positive association between disposable income and net worth reflects observable characteristics of households, such as age and education of the household head, a sizeable correlation remains even after controlling for these characteristics. Ce rapport examine la corrélation entre le patrimoine des ménages et leur revenu disponible. Après avoir brièvement évoqué l’importance d’une meilleure information sur les patrimoines pour les politiques sociales, le document décrit les principales caractéristiques du Luxembourg Wealth Study (LWS) – un projet mené pour réunir les micro-données existantes sur le patrimoine des ménages dans une base de données cohérente, visant à accomplir pour les patrimoines ce que le Luxembourg Income Study (LIS) a réussi pour les revenus. Le rapport décrit quelques aspects fondamentaux mis en relief par ces données, tout en notant les caractéristiques méthodologiques qui ont un effet sur la comparabilité internationale. La partie centrale du rapport se concentre sur la distribution conjointe du patrimoine et du revenu. Alors que la définition du patrimoine utilisée (incluant les actifs professionnels) permet de couvrir seulement cinq pays de l’OCDE, l’analyse révèle un nombre d’éléments. La corrélation entre patrimoine et revenu disponible des individus dans chaque pays est élevée mais pas pour autant parfaite. Beaucoup de personnes ayant un revenu inférieur au seuil de pauvreté ont un patrimoine positif, bien que les personnes dans cette situation et les montants détenus soient clairement plus faibles que pour la population dans son ensemble. Si une partie de la corrélation positive entre revenu et patrimoine révèle des caractéristiques observables des ménages, telles que l’âge et l’éducation des chefs de famille, il n’en demeure pas moins qu’une corrélation non négligeable subsiste même après avoir contrôlé l’effet de ces caractéristiques.

Suggested Citation

  • Markus Jantti & Eva Sierminska & Tim Smeeding, 2008. "The Joint Distribution of Household Income and Wealth: Evidence from the Luxembourg Wealth Study," OECD Social, Employment and Migration Working Papers 65, OECD Publishing.
  • Handle: RePEc:oec:elsaab:65-en
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    File URL: http://dx.doi.org/10.1787/241506164527
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    Cited by:

    1. Felipe Martínez & Francisca Uribe, 2017. "Distribución de Riqueza no Previsional de los Hogares Chilenos," Working Papers Central Bank of Chile 806, Central Bank of Chile.
    2. Markus Jäntti & Eva M. Sierminska & Philippe Van Kerm, 2015. "Modeling the Joint Distribution of Income and Wealth," Research on Economic Inequality,in: Measurement of Poverty, Deprivation, and Economic Mobility, volume 23, pages 301-327 Emerald Publishing Ltd.
    3. 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.
    4. Maurizio Franzini & Mario Pianta, 2011. "Explaining inequality in today’s capitalism," Working Papers 1108, University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini, revised 2011.
    5. Frank Cowell & Eleni Karagiannaki & Abigail McKnight, 2012. "Accounting for Cross-Country Differences in Wealth Inequality," LWS Working papers 13, LIS Cross-National Data Center in Luxembourg.
    6. Frank A. Cowell & Philippe Kerm, 2015. "Wealth Inequality: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 29(4), pages 671-710, September.
    7. repec:cep:sticas:/168 is not listed on IDEAS
    8. Maurizio Franzini & Mario Pianta, 2015. "Four engines of inequality," LEM Papers Series 2015/20, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    9. Francisco Azpitarte, 2010. "Measuring Poverty Using Both Income and Wealth: An Empirical Comparison of Multidimensional Approaches Using Data for the U.S. and Spain," Economics Working Paper Archive wp_620, Levy Economics Institute.
    10. Carlos Guerrero-de-Lizardi, 2015. "An Imperfect Approach for Looking at the Distribution of Financial and Non-Financial Wealth in Mexico 1984-2012," Remef - The Mexican Journal of Economics and Finance, Instituto Mexicano de Ejecutivos de Finanzas. Remef, September.
    11. Frank A Cowell, 2011. "Inequality among the Wealthy," CASE Papers case150, Centre for Analysis of Social Exclusion, LSE.
    12. Francisco Azpitarte, 2010. "Measuring poverty using both income and wealth: A cross-country comparison between the U.S. and Spain," Working Papers 153, ECINEQ, Society for the Study of Economic Inequality.
    13. Maurizio Franzini & Mario Pianta, 2015. "The making of inequality.Capital, labour and the distribution of income," Working Papers 1507, University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini, revised 2015.
    14. repec:cep:sticas:/150 is not listed on IDEAS
    15. Frank Cowell & Karagiannaki, E. & Abigail Mcknight, 2013. "GINI DP 72: Accounting for cross-country differences in wealth inequality," GINI Discussion Papers 72, AIAS, Amsterdam Institute for Advanced Labour Studies.

    More about this item

    JEL classification:

    • D3 - Microeconomics - - Distribution
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty

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