IDEAS home Printed from https://ideas.repec.org/a/eme/ijmpps/ijm-02-2021-0100.html

Overeducation wage penalty among Ph.D. holders: an unconditional quantile regression analysis on Italian data

Author

Listed:
  • Giuseppe Lucio Gaeta
  • Giuseppe Lubrano Lavadera
  • Francesco Pastore

Abstract

Purpose - The wage effect of job–education vertical mismatch (i.e. overeducation) has only recently been investigated in the case of Ph.D. holders. The existing contributions rely on ordinary least squares (OLS) estimates that allow measuring the average effect of being mismatched at the mean of the conditional wage distribution. Design/methodology/approach - The authors implement a recentered influence function (RIF) to estimate the overeducation gap along the entire hourly wage distribution and compare Ph.D. holders who are overeducated with those who are not on a specific sample of Ph.D. holders in different fields of study and European Research Council (ERC) categories. Moreover, the authors compare the overeducation gap between graduates working in the academic and non-academic sector. Findings - The results reveal that overeducation hits the wages of those Ph.D. holders who are employed in the academic sector and in non-research and development (R&D) jobs outside of the academic sector, while no penalty exists among those who carry out R&D activities outside the academia. The size of the penalty is higher among those who are in the mid-top of the wage distribution and hold a Social Science and Humanities specialization. Practical implications - Two policies could reduce the probability of overeducation: (a) a reallocation of Ph.D. grants from low to high demand fields of study and (b) the diffusion of industrial over academic Ph.Ds. Originality/value - This paper observes the heterogeneity of the overeducation penalty along the wage distribution and according to Ph.D. holders' study field and sector of employment (academic/non-academic).

Suggested Citation

  • Giuseppe Lucio Gaeta & Giuseppe Lubrano Lavadera & Francesco Pastore, 2022. "Overeducation wage penalty among Ph.D. holders: an unconditional quantile regression analysis on Italian data," International Journal of Manpower, Emerald Group Publishing Limited, vol. 44(6), pages 1096-1117, March.
    • Handle: RePEc:eme:ijmpps:ijm-02-2021-0100
    DOI: 10.1108/IJM-02-2021-0100
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/IJM-02-2021-0100/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://www.emerald.com/insight/content/doi/10.1108/IJM-02-2021-0100/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1108/IJM-02-2021-0100?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 look for a different version below or

    for a different version of it.

    Other versions of this item:

    Citations

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


    Cited by:

    1. is not listed on IDEAS
    2. Luca Bonacini & Giovanni Gallo & Sergio Scicchitano, 2021. "Working from home and income inequality: risks of a ‘new normal’ with COVID-19," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(1), pages 303-360, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy

    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:eme:ijmpps:ijm-02-2021-0100. 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: Emerald Support (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.