IDEAS home Printed from https://ideas.repec.org/p/zbw/ifwedp/201883.html
   My bibliography  Save this paper

A method for measuring detailed demand for workers' competences

Author

Listed:
  • Pater, Robert
  • Szkola, Jaroslaw
  • Kozak, Marcin

Abstract

There is an increasing need for analysing demand for skills at labour markets. While most studies aggregate skills in groups or use available proxies for them, the authors analyse companies' demand for individual competences. Such an analysis better reflects reality, because companies usually require from future workers particular competences rather than generally defined groups of skills. However, no method exists to analyse on a large scale which competences are required by employers. At a detailed level, there are hundreds of competences, so this demand cannot be measured in a sample survey. The authors propose a method for a continuous and efficient analysis of demand for new workers' competences. The method is based on gathering internet job offers and analysing them with data mining and text analysis tools. They applied it to analyse transversal competences on a Polish labour market during November 2012- December 2015. The authors used the detailed European Commission classification of transversal competences. They found that within the general groups of competences, companies required only certain ones, especially 'language and communication competences' and neglected others. The companies' requirements were countercyclical, that is, they increased them during recession and decreased them during economic expansion. However, the structure of the demanded competences did not change during the analysed period, suggesting that the structure is relatively stable, at least over the business cycle. The method can be used continuously. Various institutions can analyse and publish up-to-date information on the current demand for competences as well as tendencies in this demand.

Suggested Citation

  • Pater, Robert & Szkola, Jaroslaw & Kozak, Marcin, 2018. "A method for measuring detailed demand for workers' competences," Economics Discussion Papers 2018-83, Kiel Institute for the World Economy (IfW Kiel).
  • Handle: RePEc:zbw:ifwedp:201883
    as

    Download full text from publisher

    File URL: http://www.economics-ejournal.org/economics/discussionpapers/2018-83
    Download Restriction: no

    File URL: https://www.econstor.eu/bitstream/10419/190325/1/1042486662.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Nir Jaimovich & Henry E. Siu, 2020. "Job Polarization and Jobless Recoveries," The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 129-147, March.
    2. Nordin, Martin & Persson, Inga & Rooth, Dan-Olof, 2010. "Education-occupation mismatch: Is there an income penalty?," Economics of Education Review, Elsevier, vol. 29(6), pages 1047-1059, December.
    3. Ay?egül ?ahin & Joseph Song & Giorgio Topa & Giovanni L. Violante, 2014. "Mismatch Unemployment," American Economic Review, American Economic Association, vol. 104(11), pages 3529-3564, November.
    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. 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.
    6. Brahim Boudarbat & Victor Chernoff, 2012. "Education--job match among recent Canadian university graduates," Applied Economics Letters, Taylor & Francis Journals, vol. 19(18), pages 1923-1926, December.
    7. Jaroslav Pavlicek & Ladislav Kristoufek, 2015. "Nowcasting Unemployment Rates with Google Searches: Evidence from the Visegrad Group Countries," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-11, May.
    8. David J. Deming, 2017. "The Growing Importance of Social Skills in the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1593-1640.
    9. Peter Kuhn & Mikal Skuterud, 2004. "Internet Job Search and Unemployment Durations," American Economic Review, American Economic Association, vol. 94(1), pages 218-232, March.
    10. Peter Kuhn & Hani Mansour, 2014. "Is Internet Job Search Still Ineffective?," Economic Journal, Royal Economic Society, vol. 124(581), pages 1213-1233, December.
    11. Müge Adalet McGowan & Dan Andrews, 2015. "Skill Mismatch and Public Policy in OECD Countries," OECD Economics Department Working Papers 1210, OECD Publishing.
    12. Chevalier, Arnaud, 2011. "Subject choice and earnings of UK graduates," Economics of Education Review, Elsevier, vol. 30(6), pages 1187-1201.
    13. Annunziata, Marco & Bourgeois, Hendrik, 2018. "The future of work: How G20 countries can leverage digital-industrial innovations into stronger high-quality jobs growth," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-23.
    14. 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.
    15. Annunziata, Marco & Bourgeois, Hendrik, 2018. "The future of work: How G20 countries can leverage digital-industrial innovations into stronger high-quality jobs growth," Economics Discussion Papers 2018-28, Kiel Institute for the World Economy (IfW Kiel).
    16. Modestino, Alicia Sasser & Shoag, Daniel & Ballance, Joshua, 2016. "Downskilling: changes in employer skill requirements over the business cycle," Labour Economics, Elsevier, vol. 41(C), pages 333-347.
    17. Katharine G. Abraham, 1987. "Help-Wanted Advertising, Job Vacancies, and Unemployment," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 18(1), pages 207-248.
    18. Rong Zhu, 2014. "The impact of major-job mismatch on college graduates' early career earnings: evidence from China," Education Economics, Taylor & Francis Journals, vol. 22(5), pages 511-528, October.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. 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).
    2. Monica Mihaela Maer Matei & Anamaria Beatrice Aldea, 2019. "Employers’ Requirements for Data Scientists - an Analysis of Job Posts," Logos Universalitate Mentalitate Educatie Noutate - Sectiunea Stiinte Economice si Administrative/ Logos Universality Mentality Education Novelty - Section: Economical and Administrative Sciences, Editura Lumen, Department of Economics, vol. 4(1), pages 21-32, December.
    3. Małgorzata Tyrańska & Mariusz Łapczyński & Maciej Walczak & Bernard Ziębicki, 2021. "The Gap between Higher Business Education and Business Expectations: The Case of Poland," Sustainability, MDPI, vol. 13(24), pages 1-19, December.
    4. Malgorzata Spychala & Tomasz Stachurski, 2021. "Model of Improving Communication Competences of Managers," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 5), pages 426-438.
    5. Maciej Berk{e}sewicz & Greta Bia{l}kowska & Krzysztof Marcinkowski & Magdalena Ma'slak & Piotr Opiela & Robert Pater & Katarzyna Zadroga, 2019. "Enhancing the Demand for Labour survey by including skills from online job advertisements using model-assisted calibration," Papers 1908.06731, arXiv.org.

    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. Maciej Berk{e}sewicz & Greta Bia{l}kowska & Krzysztof Marcinkowski & Magdalena Ma'slak & Piotr Opiela & Robert Pater & Katarzyna Zadroga, 2019. "Enhancing the Demand for Labour survey by including skills from online job advertisements using model-assisted calibration," Papers 1908.06731, arXiv.org.
    2. Marcus Dillender, 2019. "Computerization of White Collar Jobs," Upjohn Working Papers 19-310, W.E. Upjohn Institute for Employment Research.
    3. Bhuller, Manudeep & Kostøl, Andreas & Vigtel, Trond Christian, 2019. "How Broadband Internet Affects Labor Market Matching," Memorandum 10/2019, Oslo University, Department of Economics.
    4. Emilio Colombo & Alberto Marcato, 2021. "Skill Demand and Labour Market Concentration: Theory and Evidence from Italian Vacancies," DISEIS - Quaderni del Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo dis2104, Università Cattolica del Sacro Cuore, Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo (DISEIS).
    5. Hansen, Stephen & Lambert, Peter John & Bloom, Nicholas & Davis, Steven J. & Sadun, Raffaella & Taska, Bledi, 2023. "Remote Work across Jobs, Companies, and Space," IZA Discussion Papers 15980, Institute of Labor Economics (IZA).
    6. Hemelt, Steven W. & Hershbein, Brad & Martin, Shawn & Stange, Kevin M., 2023. "College majors and skills: Evidence from the universe of online job ads," Labour Economics, Elsevier, vol. 85(C).
    7. Turrell, Arthur & Thurgood, James & Djumalieva, Jyldyz & Copple, David & Speigner, Bradley, 2018. "Using online job vacancies to understand the UK labour market from the bottom-up," Bank of England working papers 742, Bank of England.
    8. 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).
    9. Modestino, Alicia Sasser & Shoag, Daniel & Ballance, Joshua, 2016. "Downskilling: changes in employer skill requirements over the business cycle," Labour Economics, Elsevier, vol. 41(C), pages 333-347.
    10. 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).
    11. 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).
    12. Sugat Chaturvedi & Kanika Mahajan & Zahra Siddique, 2023. "Using Domain-Specific Word Embeddings to Examine the Demand for Skills," Working Papers 107, Ashoka University, Department of Economics.
    13. Azar, José & Alekseeva, Liudmila & Gine, Mireia & Samila, Sampsa & Taska, Bledi, 2020. "The Demand for AI Skills in the Labor Market," CEPR Discussion Papers 14320, C.E.P.R. Discussion Papers.
    14. Nuarpear Lekfuangfu & Voraprapa Nakavachara & Paphatsorn Sawaengsuksant, 2017. "Glancing at Labour Market Mismatch with User-generated Internet Data," PIER Discussion Papers 53, Puey Ungphakorn Institute for Economic Research.
    15. 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.
    16. Arthur Turrell & Bradley Speigner & Jyldyz Djumalieva & David Copple & James Thurgood, 2019. "Transforming Naturally Occurring Text Data into Economic Statistics: The Case of Online Job Vacancy Postings," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 173-207, National Bureau of Economic Research, Inc.
    17. Kapelyuk, Sergey & Karelin, Iliya, 2023. "Digital Skills: Classification, Empirical Estimates of the Demand," MPRA Paper 119644, University Library of Munich, Germany.
    18. José Azar & Emiliano Huet-Vaughn & Ioana Marinescu & Bledi Taska & Till von Wachter, 2019. "Minimum Wage Employment Effects and Labor Market Concentration," NBER Working Papers 26101, National Bureau of Economic Research, Inc.
    19. Maciej Berk{e}sewicz & Herman Cherniaiev & Robert Pater, 2021. "Estimating the number of entities with vacancies using administrative and online data," Papers 2106.03263, arXiv.org.
    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.

    More about this item

    Keywords

    online data; skill demand; text analysis; vacancy market; worker competence; worker competency;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:zbw:ifwedp:201883. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/iwkiede.html .

    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.