IDEAS home Printed from https://ideas.repec.org/a/bla/jregsc/v65y2025i4p1216-1236.html
   My bibliography  Save this article

Institutional Quality and Income Inequality. Quantile Regression Analysis of Regional Italian Data

Author

Listed:
  • Cristian Barra
  • Anna Papaccio

Abstract

The aim of this study is to determine whether the quality of Italian institutions is a significant factor in economic inequality and whether the result contributes to an explanation of the North‐South divide in Italy. To test our hypothesis, we use a quantile regression on regional data for Italy from 2004 to 2019. The results suggest that higher institutional quality plays a crucial role in reducing income inequality. This is particularly true in situations where income inequality is very high. Our empirical results were confirmed by a series of robustness checks, which also have important policy implications.

Suggested Citation

  • Cristian Barra & Anna Papaccio, 2025. "Institutional Quality and Income Inequality. Quantile Regression Analysis of Regional Italian Data," Journal of Regional Science, Wiley Blackwell, vol. 65(4), pages 1216-1236, September.
  • Handle: RePEc:bla:jregsc:v:65:y:2025:i:4:p:1216-1236
    DOI: 10.1111/jors.70000
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/jors.70000
    Download Restriction: no

    File URL: https://libkey.io/10.1111/jors.70000?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
    ---><---

    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:jregsc:v:65:y:2025:i:4:p:1216-1236. 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: http://www.blackwellpublishing.com/journal.asp?ref=0022-4146 .

    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.