IDEAS home Printed from https://ideas.repec.org/a/atk/issues/q3202510203.html

In-work income stochastic frontiers: methodological advances for income inequalities investigations

Author

Listed:
  • Graziella Bonanno
  • Filippo Domma

Abstract

This study examines the inefficiency in the income distribution for Italy employing the Stochastic Frontier Approach (SFA). By using data from the European Union Statistics on Income and Living Conditions (EU-SILC) survey for Italy in 2021, we estimate wage equations to show that recent methodological advances in the SFA better fit the distribution of in-work income. We find evidence of the presence of both dependence between the two error components of the income stochastic frontier and asymmetry of the accidental error.

Suggested Citation

  • Graziella Bonanno & Filippo Domma, 2025. "In-work income stochastic frontiers: methodological advances for income inequalities investigations," Regional Economy, , vol. 9, pages 3-13.
    • Handle: RePEc:atk:issues:q32025:10203
    as

    Download full text from publisher

    File URL: https://www.regionaleconomy.eu/RePEc/pdf/9/3-13.pdf
    Download Restriction: no
    File URL: https://www.regionaleconomy.eu/rivista/re/in-work-income-stochastic-frontiers-methodological-advances-for-income-inequalities-investigations/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions

    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:atk:issues:q32025:10203. 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: Regional Economy (email available below). General contact details of provider: .

    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.