IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-23-00296.html

Skill preferences in job postings

Author

Listed:
  • Andrei Ternikov

    (HSE University)

Abstract

This paper investigates the order of skills mentioned in job ads, their frequency, and whether there is a relation between skill groups and salary offered. A novel methodology was used across three job board datasets to demonstrate existing skill preferences in job ads. By identifying skill preferences empirically, the methodology yields valuable insights into the job market.

Suggested Citation

  • Andrei Ternikov, 2023. "Skill preferences in job postings," Economics Bulletin, AccessEcon, vol. 43(4), pages 1928-1943.
    • Handle: RePEc:ebl:ecbull:eb-23-00296
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2023/Volume43/EB-23-V43-I4-P165.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The Skill Content of Recent Technological Change: An Empirical Exploration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1279-1333.
    2. Stefano Banfi & Benjamín Villena-Roldán, 2019. "Do High-Wage Jobs Attract More Applicants? Directed Search Evidence from the Online Labor Market," Journal of Labor Economics, University of Chicago Press, vol. 37(3), pages 715-746.
    3. David J Deming & Kadeem Noray, 2020. "Earnings Dynamics, Changing Job Skills, and STEM Careers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(4), pages 1965-2005.
    4. David Deming & Lisa B. Kahn, 2018. "Skill Requirements across Firms and Labor Markets: Evidence from Job Postings for Professionals," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 337-369.
    5. Alekseeva, Liudmila & Azar, José & Giné, Mireia & Samila, Sampsa & Taska, Bledi, 2021. "The demand for AI skills in the labor market," Labour Economics, Elsevier, vol. 71(C).
    6. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue nov.
    7. Daron Acemoglu & David Autor & Jonathon Hazell & Pascual Restrepo, 2022. "Artificial Intelligence and Jobs: Evidence from Online Vacancies," Journal of Labor Economics, University of Chicago Press, vol. 40(S1), pages 293-340.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tomáš Oleš, 2026. "In-demand skills: a shield against automation—evidence from online job vacancies," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 60(1), pages 1-56, December.
    2. Schultheiss, Tobias & Pfister, Curdin & Gnehm, Ann-Sophie & Backes-Gellner, Uschi, 2023. "Education expansion and high-skill job opportunities for workers: Does a rising tide lift all boats?," Labour Economics, Elsevier, vol. 82(C).
    3. Arendt, Lukasz & Gałecka-Burdziak, Ewa & Núñez, Fernando & Pater, Robert & Usabiaga, Carlos, 2023. "Skills requirements across task-content groups in Poland: What online job offers tell us," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    4. Prasanna B. Tambe, 2026. "Reskilling the Workforce for AI: Domain Expertise and Algorithmic Literacy," Management Science, INFORMS, vol. 72(1), pages 515-537, January.
    5. Kyogo Kanazawa & Daiji Kawaguchi & Hitoshi Shigeoka & Yasutora Watanabe, 2026. "AI, Skill, and Productivity: The Case of Taxi Drivers," Management Science, INFORMS, vol. 72(2), pages 1376-1388, February.
    6. Kapelyuk, Sergey & Karelin, Iliya, 2023. "Digital Skills: Classification, Empirical Estimates of the Demand," MPRA Paper 119644, University Library of Munich, Germany.
    7. Avner Ben-Ner & Ainhoa Urtasun & Bledi Taska, 2023. "Effects of New Technologies on Work: The Case of Additive Manufacturing," ILR Review, Cornell University, ILR School, vol. 76(2), pages 255-289, March.
    8. David J. Deming, 2021. "The Growing Importance of Decision-Making on the Job," NBER Working Papers 28733, National Bureau of Economic Research, Inc.
    9. David J. Deming & Mikko I. Silliman, 2024. "Skills and Human Capital in the Labor Market," NBER Working Papers 32908, National Bureau of Economic Research, Inc.
    10. Christina Langer & Simon Wiederhold, 2023. "The Value of Early-Career Skills," Working Papers 222, Bavarian Graduate Program in Economics (BGPE).
    11. Ziegler, Lennart, 2021. "Skill Demand and Wages. Evidence from Linked Vacancy Data," IZA Discussion Papers 14511, IZA Network @ LISER.
    12. Femke Cnossen & Matloob Piracha & Guy Tchuente, 2025. "Learning the Right Skill: Vocational Curricula and Returns to Skills," Journal of Labor Economics, University of Chicago Press, vol. 43(3), pages 665-694.
    13. Koch, Michael & Lodefalk, Magnus, 2024. "Artificial Intelligence and Worker Stress: Evidence from Germany," Ratio Working Papers 377, The Ratio Institute.
    14. Charles Ham & Rebecca N. Hann & MaryJane Rabier & Wenfeng Wang, 2025. "Auditor Skill Demands and Audit Quality: Evidence from Job Postings," Management Science, INFORMS, vol. 71(7), pages 5805-5829, July.
    15. Fabian Kosse & Tim Leffler & Arna Woemmel, 2025. "Digital Skills: Social Disparities and the Impact of Early Mentoring," SOEPpapers on Multidisciplinary Panel Data Research 1222, DIW Berlin, The German Socio-Economic Panel (SOEP).
    16. A. A. Ternikov, 2023. "Artificial intelligence and the demand for skills in Russia," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 11.
    17. Michael J. Böhm & Ben Etheridge & Aitor Irastorza-Fadrique, 2024. "The impact of labour demand shocks when occupational labour supplies are heterogeneous," IFS Working Papers W24/28, Institute for Fiscal Studies.
    18. Jiang, Wei & Tang, Yuehua & Xiao, Rachel J. & Yao, Vincent, 2025. "Surviving the fintech disruption," Journal of Financial Economics, Elsevier, vol. 171(C).
    19. Lipowski, Cäcilia & Salomons, Anna & Zierahn-Weilage, Ulrich, 2024. "Expertise at work: New technologies, new skills, and worker impacts," ZEW Discussion Papers 24-044, ZEW - Leibniz Centre for European Economic Research.
    20. Kelvin K. F. Law & Michael Shen, 2025. "How Does Artificial Intelligence Shape Audit Firms?," Management Science, INFORMS, vol. 71(5), pages 3641-3666, May.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

    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:ebl:ecbull:eb-23-00296. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: John P. Conley (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.