IDEAS home Printed from https://ideas.repec.org/p/lis/liswps/833.html
   My bibliography  Save this paper

Redistribution and Child Poverty: A Cross-National Comparison Between Brazil, Colombia, Panama, Peru, Russia, and South Africa

Author

Listed:
  • Marcela F. González

Abstract

I propose a disaggregated analysis of the income that households receive to compare the redistributive capacity of the state taking child poverty as case of study. I use the LIS Database and cross-nationally compare six countries: Brazil, Colombia, Panama, Peru, Russia, and South Africa. I created an income package to include a variety of income definitions based on the different sources of income of households: market income, income from private transfers (MI plus PT), and income from government transfers or disposable income. I included these countries because the access to gross income allows to assess in each country to what extent taxes and government transfers reduce the child poverty generated by the market. I use the last three time series available at the LIS for the six countries, which coincide with the period post-crisis 2008: Wave VIII (2010), Wave XIX (2013) and Wave X (2016). I cross-nationally compare the relative child poverty at 40%, 50%, and 60% of the median income for each of the incomes included in the income package for the following ages: 0-17 years old, 0-5 years old, and 6-17 years old, and for the following types of family: biparental and monomarental. I also analyze the Gini coefficient and the relative rate of poverty for the total population.

Suggested Citation

  • Marcela F. González, 2022. "Redistribution and Child Poverty: A Cross-National Comparison Between Brazil, Colombia, Panama, Peru, Russia, and South Africa," LIS Working papers 833, LIS Cross-National Data Center in Luxembourg.
  • Handle: RePEc:lis:liswps:833
    as

    Download full text from publisher

    File URL: http://www.lisdatacenter.org/wps/liswps/833.pdf
    Download Restriction: no
    ---><---

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:lis:liswps:833. 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: Piotr Paradowski (email available below). General contact details of provider: https://edirc.repec.org/data/lisprlu.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.