IDEAS home Printed from https://ideas.repec.org/a/spr/italej/v11y2025i3d10.1007_s40797-024-00292-4.html
   My bibliography  Save this article

Evidence and Drivers of Income Polarization in Italy: A Relative Distribution Analysis Using Recentered Influence Function Regressions

Author

Listed:
  • F. Clementi

    (University of Macerata)

  • M. Fabiani

    (University of Macerata)

Abstract

The contribution of this paper is twofold. First, it analyzes Italian personal income distribution changes between 1991 and 2020 using the “relative distribution” method. This nonparametric tool uses all distribution information, unlike summary statistics. The analysis documents how distributional changes over time hollowed out the middle of the income distribution and increased household concentration around the highest and lowest deciles, causing polarization to rise. Second, and most importantly, the paper develops a novel approach to quantify the drivers of distributional changes by directly relating the impact of changes in the expected values of the covariates on the relative polarization indices, which code the direction and magnitude of distributional changes. Results show that the household head’s education and employment status increase the income distribution’s polarization over time. When the household’s head is female, foreign-born, or from the Centre/South/Islands, a counter-polarization effect occurs.

Suggested Citation

  • F. Clementi & M. Fabiani, 2025. "Evidence and Drivers of Income Polarization in Italy: A Relative Distribution Analysis Using Recentered Influence Function Regressions," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 11(3), pages 911-946, November.
  • Handle: RePEc:spr:italej:v:11:y:2025:i:3:d:10.1007_s40797-024-00292-4
    DOI: 10.1007/s40797-024-00292-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40797-024-00292-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s40797-024-00292-4?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

    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:spr:italej:v:11:y:2025:i:3:d:10.1007_s40797-024-00292-4. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.