IDEAS home Printed from https://ideas.repec.org/a/bla/revinw/v52y2006i4p525-546.html
   My bibliography  Save this article

Studying Inequality In Income Distribution Of Single‐Person Households In Four Developed Countries

Author

Listed:
  • Claudio Quintano
  • Antonella D'Agostino

Abstract

The increasing frequency of single‐person households has become a major economic phenomenon, and is likely to become an important political force. This paper focuses on differences related to inequality of income distribution among single‐person households in Europe's four largest economies, i.e. France, Germany, Italy and the U.K. Income distribution was modeled in terms of individual characteristics using a parametric model with heterogeneous model parameters. Poverty differences were also broken down using the results of Biewen and Jenkins (2005) in order to understand the relationship between poverty and individual characteristics among countries.

Suggested Citation

  • Claudio Quintano & Antonella D'Agostino, 2006. "Studying Inequality In Income Distribution Of Single‐Person Households In Four Developed Countries," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 52(4), pages 525-546, December.
    • Handle: RePEc:bla:revinw:v:52:y:2006:i:4:p:525-546
    DOI: 10.1111/j.1475-4991.2006.00206.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1475-4991.2006.00206.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1475-4991.2006.00206.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Carlos Gradin, 2009. "Why is Poverty So High Among Afro-Brazilians? A Decomposition Analysis of the Racial Poverty Gap," Journal of Development Studies, Taylor & Francis Journals, vol. 45(9), pages 1426-1452.
    2. Bönke Timm & Schröder Carsten, 2011. "Poverty in Germany – Statistical Inference and Decomposition," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(2), pages 178-209, April.
    3. Christian Kleiber, 2008. "A Guide to the Dagum Distributions," Economic Studies in Inequality, Social Exclusion, and Well-Being, in: Duangkamon Chotikapanich (ed.), Modeling Income Distributions and Lorenz Curves, chapter 6, pages 97-117, Springer.
    4. Ngwenya, Mthunzi A. & Paas, Leonard J., 2012. "Lifecycle effects on consumer financial product portfolios in South Africa: An exploratory analysis of four ethnic groups," Journal of Economic Psychology, Elsevier, vol. 33(1), pages 8-18.
    5. Duangkamon Chotikapanich & William E. Griffiths & Gholamreza Hajargasht & Wasana Karunarathne & D. S. Prasada Rao, 2018. "Using the GB2 Income Distribution," Econometrics, MDPI, vol. 6(2), pages 1-24, April.
    6. Domma, Filippo & Condino, Francesca & Giordano, Sabrina, 2018. "A new formulation of the Dagum distribution in terms of income inequality and poverty measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 511(C), pages 104-126.
    7. F. Clementi & M. Gallegati & G. Kaniadakis, 2012. "A generalized statistical model for the size distribution of wealth," Papers 1209.4787, arXiv.org, revised Dec 2012.
    8. Guo, Qiang & Gao, Li, 2012. "Distribution of individual incomes in China between 1992 and 2009," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(21), pages 5139-5145.
    9. Fulment Arnold K. & Josephat Peter K. & Srinivasa Rao Gadde, 2017. "Estimation of Reliability in Multicomponent Stress-Strength Based on Dagum Distribution," Stochastics and Quality Control, De Gruyter, vol. 32(2), pages 77-85, December.
    10. Jacobsen, Rasmus Højbjerg & Jensen, Svend E. Hougaard, 2014. "Future changes in age and household patterns: Some implications for public finances," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1110-1119.
    11. F. Clementi & A. L. Dabalen & V. Molini & F. Schettino, 2020. "We forgot the middle class! Inequality underestimation in a changing Sub-Saharan Africa," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(1), pages 45-70, March.
    12. Rasmus Højbjerg Jacobsen & Svend E. Hougaard Jensen, 2014. "Changing Age and Household Patterns: Implications for Welfare Costs in Denmark 1982 – 2007," Nordic Journal of Political Economy, Nordic Journal of Political Economy, vol. 39, pages 1-4.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:revinw:v:52:y:2006:i:4:p:525-546. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/iariwea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.