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Skills requirements across task-content groups in Poland: What online job offers tell us

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  • Arendt, Lukasz
  • Gałecka-Burdziak, Ewa
  • Núñez, Fernando
  • Pater, Robert
  • Usabiaga, Carlos

Abstract

Dynamic digitalisation has a profound impact on labour markets, leading to routinisation and job polarisation processes. Most studies on labour polarisation use employment data to track changes in labour demand and incomes across routine and non-routine jobs. In this paper we utilise a database of online job postings published on Polish websites in the period 2017–2019 to map skills the requirements in respective task-content groups. We observe little evidence of job polarisation in the Polish vacancy market, with cognitive, communication, availability, technical, and self-organisation skills being in high demand regardless of the task-content group. With the use of logistic regression we find that non-routine and routine cognitive jobs require a quite extensive, and similar skill-mix. Multinomial logistic results show that communication and cognitive skills enhance the employability in non-routine and routine cognitive jobs, while in the case of non-routine manual jobs these are availability, mathematical and interpersonal skills. Based on these findings, we conclude that the lifelong learning system should focus on developing the transversal skills required in jobs resilient to automation (non-routine jobs). Moreover, we argue that enhancing the transition from routine to non-routine jobs by providing the required transversal skills plays and important role in reducing social inequalities.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:tefoso:v:187:y:2023:i:c:s0040162522007661
    DOI: 10.1016/j.techfore.2022.122245
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    as
    1. Alan Manning, 2019. "Polarization(s) in Labour Markets: Synthesis and Perspectives," Travail et Emploi, La DARES, vol. 0(1), pages 13-24.
    2. Pietro Giorgio Lovaglio & Mario Mezzanzanica & Emilio Colombo, 2020. "Comparing time series characteristics of official and web job vacancy data," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(1), pages 85-98, February.
    3. Azar, José & Marinescu, Ioana & Steinbaum, Marshall & Taska, Bledi, 2020. "Concentration in US labor markets: Evidence from online vacancy data," Labour Economics, Elsevier, vol. 66(C).
    4. Brad Hershbein & Lisa B. Kahn, 2018. "Do Recessions Accelerate Routine-Biased Technological Change? Evidence from Vacancy Postings," American Economic Review, American Economic Association, vol. 108(7), pages 1737-1772, July.
    5. Fonseca, Tiago & Lima, Francisco & Pereira, Sonia C., 2018. "Job polarization, technological change and routinization: Evidence for Portugal," Labour Economics, Elsevier, vol. 51(C), pages 317-339.
    6. Pater, Robert & Szkola, Jaroslaw & Kozak, Marcin, 2019. "A method for measuring detailed demand for workers' competences," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 13, pages 1-30.
    7. Edward P. Lazear, 2009. "Firm-Specific Human Capital: A Skill-Weights Approach," Journal of Political Economy, University of Chicago Press, vol. 117(5), pages 914-940, October.
    8. Maarten Goos & Alan Manning & Anna Salomons, 2014. "Explaining Job Polarization: Routine-Biased Technological Change and Offshoring," American Economic Review, American Economic Association, vol. 104(8), pages 2509-2526, August.
    9. Ioana Marinescu & Ronald Wolthoff, 2020. "Opening the Black Box of the Matching Function: The Power of Words," Journal of Labor Economics, University of Chicago Press, vol. 38(2), pages 535-568.
    10. 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.
    11. 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).
    12. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    13. Grinis, Inna, 2019. "The STEM requirements of “Non-STEM” jobs: Evidence from UK online vacancy postings," Economics of Education Review, Elsevier, vol. 70(C), pages 144-158.
    14. Lyu, Wenjing & Liu, Jin, 2021. "Soft skills, hard skills: What matters most? Evidence from job postings," Applied Energy, Elsevier, vol. 300(C).
    15. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2006. "The Polarization of the U.S. Labor Market," American Economic Review, American Economic Association, vol. 96(2), pages 189-194, May.
    16. 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.
    17. Colombo, Emilio & Mercorio, Fabio & Mezzanzanica, Mario, 2019. "AI meets labor market: Exploring the link between automation and skills," Information Economics and Policy, Elsevier, vol. 47(C), pages 27-37.
    18. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    19. Forsythe, Eliza & Kahn, Lisa B. & Lange, Fabian & Wiczer, David, 2020. "Labor demand in the time of COVID-19: Evidence from vacancy postings and UI claims," Journal of Public Economics, Elsevier, vol. 189(C).
    20. 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.
    21. Alicia Sasser Modestino & Daniel Shoag & Joshua Ballance, 2020. "Upskilling: Do Employers Demand Greater Skill When Workers Are Plentiful?," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 793-805, October.
    22. Piotr Lewandowski & Roma Keister & Wojciech Hardy & Szymon Gorka, 2017. "Routine and ageing? The Intergenerational Divide In The Deroutinisation Of Jobs In Europe," IBS Working Papers 01/2017, Instytut Badan Strukturalnych.
    23. Maarten Goos & Alan Manning, 2007. "Lousy and Lovely Jobs: The Rising Polarization of Work in Britain," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 118-133, February.
    24. Mariagrazia Squicciarini & Heike Nachtigall, 2021. "Demand for AI skills in jobs: Evidence from online job postings," OECD Science, Technology and Industry Working Papers 2021/03, OECD Publishing.
    25. Łukasz Arendt & Wojciech Grabowski, 2019. "Technical change and wage premium shifts among task-content groups in Poland," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 32(1), pages 3398-3416, January.
    26. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    27. Beblav�, Miroslav & Fabo, Brian & Lenaerts, Karolien, 2016. "Demand for Digital Skills in the US Labour Market: The IT Skills Pyramid," CEPS Papers 12055, Centre for European Policy Studies.
    28. Elizabeth Gutiérrez & Ben Lourie & Alexander Nekrasov & Terry Shevlin, 2020. "Are Online Job Postings Informative to Investors?," Management Science, INFORMS, vol. 66(7), pages 3133-3141, July.
    29. Lea Samek & Mariagrazia Squicciarini & Emile Cammeraat, 2021. "The human capital behind AI: Jobs and skills demand from online job postings," OECD Science, Technology and Industry Policy Papers 120, OECD Publishing.
    30. repec:iab:iabjlr:v:55:i::p:art.7 is not listed on IDEAS
    31. Coombs, Crispin, 2020. "Will COVID-19 be the tipping point for the Intelligent Automation of work? A review of the debate and implications for research," International Journal of Information Management, Elsevier, vol. 55(C).
    32. Wojciech Hardy & Roma Keister & Piotr Lewandowski, 2018. "Educational upgrading, structural change and the task composition of jobs in Europe," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 26(2), pages 201-231, April.
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    1. A. A. Ternikov, 2023. "Artificial intelligence and the demand for skills in Russia," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 11.

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    More about this item

    Keywords

    Online job offers; Routinisation; Job polarisation; Skills requirements; Logistic regression;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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