IDEAS home Printed from https://ideas.repec.org/a/eme/ijdipp/ijdi-12-2021-0257.html
   My bibliography  Save this article

Wage premium for soft skills in IT sector

Author

Listed:
  • Andrei Ternikov

Abstract

Purpose - This study aims to investigate the relationship between the demand on “soft” skills and suggested salaries for IT specializations in Russia. Design/methodology/approach - Based on the database of vacancies, econometric modeling and cluster analysis of job occupations are implemented. Findings - The results show positive association between demand for “soft” skills and wage if the model is controlled for the working experience and narrow professional occupations. Findings provide evidence that there is significant wage premium for “soft” skills in cases when job positions either imply no experience or require specialists with at least three years of tenure. Originality/value - This research provides new evidence on the relationship between “soft” skills and wage using job postings data from Russia. This paper identifies the presence of wage premium for “soft” skills among IT specialists if controlling for sub-specializations, year, region and working experience. The robustness checks indicate no significant changes in the obtained results.

Suggested Citation

  • Andrei Ternikov, 2022. "Wage premium for soft skills in IT sector," International Journal of Development Issues, Emerald Group Publishing Limited, vol. 21(2), pages 237-248, April.
  • Handle: RePEc:eme:ijdipp:ijdi-12-2021-0257
    DOI: 10.1108/IJDI-12-2021-0257
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/IJDI-12-2021-0257/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/IJDI-12-2021-0257/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/IJDI-12-2021-0257?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 search for a different version of it.

    Citations

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


    Cited by:

    1. A. A. Ternikov, 2023. "Artificial intelligence and the demand for skills in Russia," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 11.

    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:ijdipp:ijdi-12-2021-0257. 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.