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Modelling the Joint Distribution of Income and Wealth

Author

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  • Jäntti, Markus

    (SOFI, Stockholm University)

  • Sierminska, Eva

    (LISER (CEPS/INSTEAD))

  • Van Kerm, Philippe

    (LISER (CEPS/INSTEAD))

Abstract

This paper considers a parametric model for the joint distribution of income and wealth. The model is used to analyze income and wealth inequality in five OECD countries using comparable household-level survey data. We focus on the dependence parameter between the two variables and study whether accounting for wealth and income jointly reveals a different pattern of social inequality than the traditional 'income only' approach. We find that cross-country variations in the dependence parameter effectively accounts only for a small fraction of cross-country differences in a bivariate measure of inequality. The index appears primarily driven by differences in inequality in the wealth distribution.

Suggested Citation

  • Jäntti, Markus & Sierminska, Eva & Van Kerm, Philippe, 2015. "Modelling the Joint Distribution of Income and Wealth," IZA Discussion Papers 9190, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp9190
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    References listed on IDEAS

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    5. 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.
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    8. P. Jenkins, Stephen & Jäntti, Markus, 2005. "Methods for summarizing and comparing wealth distributions," ISER Working Paper Series 2005-05, Institute for Social and Economic Research.
    9. Stéphane Bonhomme & Jean-Marc Robin, 2009. "Assessing the equalizing force of mobility using short panels: France, 1990-2000," Post-Print hal-00308801, HAL.
    10. Eva Sierminska & Andrea Brandolini & Timothy Smeeding, 2006. "The Luxembourg Wealth Study – A cross-country comparable database for household wealth research," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 4(3), pages 375-383, December.
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    Citations

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    Cited by:

    1. Ceriani, Lidia & Hlasny, Vladimir & Verme, Paolo, 2021. "Bottom Incomes and the Measurement of Poverty: A Brief Assessment of the Literature," GLO Discussion Paper Series 914, Global Labor Organization (GLO).
    2. Rolf Aaberge & Anthony B. Atkinson & Sebastian Königs, 2018. "From classes to copulas: wages, capital, and top incomes," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(2), pages 295-320, June.
    3. David Gallusser & Matthias Krapf, 2022. "Joint Income-Wealth Inequality: Evidence from Lucerne Tax Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(1), pages 251-295, August.
    4. Vladimir Hlasny, 2021. "Parametric representation of the top of income distributions: Options, historical evidence, and model selection," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1217-1256, September.
    5. Vladimir Hlasny & Lidia Ceriani & Paolo Verme, 2022. "Bottom Incomes and the Measurement of Poverty and Inequality," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(4), pages 970-1006, December.
    6. Miha Dominko & Miroslav Verbič, 2021. "The Effect of Income and Wealth on Subjective Well-Being in the Context of Different Welfare State Regimes," Journal of Happiness Studies, Springer, vol. 22(1), pages 181-206, January.
    7. Kuypers, Sarah & Marx, Ive, 2017. "The Truly Vulnerable: Integrating Wealth into the Measurement of Poverty and Social Policy Effectiveness," IZA Discussion Papers 11069, Institute of Labor Economics (IZA).
    8. Doss, Cheryl R. & Catanzarite, Zachary & Baah-Boateng, William & Swaminathan, Hema & Diana Deere, Carmen & Boakye-Yiadom, Louis & Suchitra, J.Y., 2018. "Do men and women estimate property values differently?," World Development, Elsevier, vol. 107(C), pages 75-86.
    9. Frank A. Cowell & Philippe Kerm, 2015. "Wealth Inequality: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 29(4), pages 671-710, September.
    10. Isabel Z. Martínez, 2021. "Evidence from Unique Swiss Tax Data on the Composition and Joint Distribution of Income and Wealth," NBER Chapters, in: Measuring Distribution and Mobility of Income and Wealth, pages 105-142, National Bureau of Economic Research, Inc.
    11. Antonella D’agostino & Giovanni De Luca & Dominique Guégan, 2023. "Estimating Lower Tail Dependence Between Pairs of Poverty Dimensions in Europe," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 69(2), pages 419-442, June.
    12. Mathä, Thomas Y. & Porpiglia, Alessandro & Sierminska, Eva, 2011. "The immigrant/native wealth gap in Germany, Italy and Luxembourg," Working Paper Series 1302, European Central Bank.
    13. Sarah Kuypers & Ive Marx, 2019. "The Truly Vulnerable: Integrating Wealth into the Measurement of Poverty and Social Policy Effectiveness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(1), pages 131-147, February.
    14. Graciela Sanroman & Guillermo Santos, 2021. "The joint distribution of income and wealth in Uruguay," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 40(83), pages 609-642, August.
    15. Frank Cowell & Brian Nolan & Javier Olivera & Philippe Van Kerm, 2017. "Wealth, Top Incomes and Inequality," LWS Working papers 24, LIS Cross-National Data Center in Luxembourg.
    16. José María Sarabia & Vanesa Jordá & Faustino Prieto & Montserrat Guillén, 2020. "Multivariate Classes of GB2 Distributions with Applications," Mathematics, MDPI, vol. 9(1), pages 1-21, December.
    17. David Gallusser & Matthias Krapf, 2019. "Joint Income-Wealth Inequality: An Application Using Administrative Tax Data," CESifo Working Paper Series 7876, CESifo.

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    More about this item

    Keywords

    multivariate Gini; copula; inequality; wealth; income;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General

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