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Skill requirements and labour polarisation: An association analysis based on Polish online job offers

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  • Usabiaga, Carlos
  • Núñez, Fernando
  • Arendt, Lukasz
  • Gałecka-Burdziak, Ewa
  • Pater, Robert
Abstract
This paper uses the methodological scheme of contingency tables to explore polarisation in the Polish labour market. We use a large database of online job offers published on selected Polish job portals in the period 2017–2019, whereas most of the studies on the polarisation hypothesis are based on employment data. The main advantage of our microdata is the use of information on the required skills of the vacancy. The contingency table allows us to generate clusters of vacancies whose attributes tend to appear jointly. The study reveals that office skills do not offer a particular advantage in an automated labour market, while information and computer technology skills and communication skills seem to have a shield effect in such an environment. In addition, a cluster of transversal skills –self-organisational, technical and interpersonal skills– constitutes an important requirement for most job offers. These skills should be widely developed within the educational system, at different levels.

Suggested Citation

  • Usabiaga, Carlos & Núñez, Fernando & Arendt, Lukasz & Gałecka-Burdziak, Ewa & Pater, Robert, 2022. "Skill requirements and labour polarisation: An association analysis based on Polish online job offers," Economic Modelling, Elsevier, vol. 115(C).
  • Handle: RePEc:eee:ecmode:v:115:y:2022:i:c:s0264999322002097
    DOI: 10.1016/j.econmod.2022.105963
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    1. 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.
    2. den Haan, Wouter J. & Ramey, Garey & Watson, Joel, 2003. "Liquidity flows and fragility of business enterprises," Journal of Monetary Economics, Elsevier, vol. 50(6), pages 1215-1241, September.
    3. Daron Acemoglu & Pascual Restrepo, 2020. "The wrong kind of AI? Artificial intelligence and the future of labour demand," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 25-35.
    4. Christian Haedo & Michel Mouchart, 2018. "A stochastic independence approach for measuring regional specialization and concentration," Papers in Regional Science, Wiley Blackwell, vol. 97(4), pages 1151-1168, November.
    5. 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.
    6. Rita Asplund & Erling Barth & Per Lundborg & Kjersti Misje Nilsen, 2011. "Polarization of the Nordic Labour Markets," Finnish Economic Papers, Finnish Economic Association, vol. 24(2), pages 87-110, Autumn.
    7. Guy Michaels & Ashwini Natraj & John Van Reenen, 2010. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over 25 Years," CEP Discussion Papers dp0987, Centre for Economic Performance, LSE.
    8. Maarten Goos & Alan Manning & Anna Salomons, 2009. "Job Polarization in Europe," American Economic Review, American Economic Association, vol. 99(2), pages 58-63, May.
    9. Álvarez de Toledo, Pablo & Núñez, Fernando & Usabiaga, Carlos, 2020. "Matching in segmented labor markets: An analytical proposal based on high-dimensional contingency tables," Economic Modelling, Elsevier, vol. 93(C), pages 175-186.
    10. Melanie Arntz & Terry Gregory & Ulrich Zierahn, 2016. "The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis," OECD Social, Employment and Migration Working Papers 189, OECD Publishing.
    11. 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.
    12. Lindsay Oldenski, 2014. "Offshoring and the Polarization of the U.S. Labor Market," ILR Review, Cornell University, ILR School, vol. 67(3_suppl), pages 734-761, May.
    13. Álvarez de Toledo, Pablo & Núñez, Fernando & Usabiaga, Carlos, 2018. "Matching and clustering in square contingency tables. Who matches with whom in the Spanish labour market," Computational Statistics & Data Analysis, Elsevier, vol. 127(C), pages 135-159.
    14. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    15. 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.
    16. Jason Long & Joseph Ferrie, 2013. "Intergenerational Occupational Mobility in Great Britain and the United States since 1850," American Economic Review, American Economic Association, vol. 103(4), pages 1109-1137, June.
    17. 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.
    18. David A. Green & Benjamin M. Sand, 2015. "Has the Canadian labour market polarized?," Canadian Journal of Economics, Canadian Economics Association, vol. 48(2), pages 612-646, May.
    19. 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.
    20. Rokicki, Bartlomiej & Blien, Uwe & Hewings, Geoffrey J.D. & thi Hong Van, Phan, 2021. "Is there a wage curve with regional real wages? An analysis for the US and Poland," Economic Modelling, Elsevier, vol. 102(C).
    21. Sushanta K. MALLICK & Ricardo M. SOUSA, 2017. "The skill premium effect of technological change: New evidence from United States manufacturing," International Labour Review, International Labour Organization, vol. 156(1), pages 113-131, March.
    22. 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.
    23. 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.
    24. Elżbieta Antczak & Ewa Gałecka‐Burdziak & Robert Pater, 2019. "What Affects Efficiency In Labour Market Matching At Different Territorial Aggregation Levels In Poland?," Bulletin of Economic Research, Wiley Blackwell, vol. 71(2), pages 160-179, April.
    25. 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.
    26. Burman, Prabir, 2004. "On some testing problems for sparse contingency tables," Journal of Multivariate Analysis, Elsevier, vol. 88(1), pages 1-18, January.
    27. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    28. Aleksandra Majchrowska & Paweł Strawiński, 2016. "Regional Differences in Gender Wage Gaps in Poland: New Estimates Based on Harmonized Data for Wages," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 8(2), pages 115-141, June.
    29. Nikhil Agarwal, 2015. "An Empirical Model of the Medical Match," American Economic Review, American Economic Association, vol. 105(7), pages 1939-1978, July.
    30. 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.
    31. 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.
    32. Jason Long & Joseph Ferrie, 2013. "Intergenerational Occupational Mobility in Great Britain and the United States since 1850: Reply," American Economic Review, American Economic Association, vol. 103(5), pages 2041-2049, August.
    33. Ewa Rollnik-Sadowska & Marta Jarocka & Edyta Dabrowska, 2020. "Diversity of Regional Labour Markets in Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 33-51.
    34. Wang, Jun & Hu, Yong & Zhang, Zhiming, 2021. "Skill-biased technological change and labor market polarization in China," Economic Modelling, Elsevier, vol. 100(C).
    35. Rey, Clément & Rey, Serge & Viala, Jean-Renaud, 2014. "Detection of high and low states in stock market returns with MCMC method in a Markov switching model," Economic Modelling, Elsevier, vol. 41(C), pages 145-155.
    36. Zilian, Laura S. & Zilian, Stella S. & Jäger, Georg, 2021. "Labour market polarisation revisited: evidence from Austrian vacancy data," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 55(55), pages 1-.7.
    37. Van Roy, Vincent & Vértesy, Dániel & Vivarelli, Marco, 2018. "Technology and employment: Mass unemployment or job creation? Empirical evidence from European patenting firms," Research Policy, Elsevier, vol. 47(9), pages 1762-1776.
    38. Cavenaile, Laurent, 2021. "Offshoring, computerization, labor market polarization and top income inequality," Journal of Macroeconomics, Elsevier, vol. 69(C).
    39. Christian Dustmann & Johannes Ludsteck & Uta Schönberg, 2009. "Revisiting the German Wage Structure," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(2), pages 843-881.
    40. Pierre-André Chiappori & Bernard Salanié, 2016. "The Econometrics of Matching Models," Journal of Economic Literature, American Economic Association, vol. 54(3), pages 832-861, September.
    41. 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.
    42. Judith K. Hellerstein & Melinda Sandler Morrill, 2011. "Dads and Daughters: The Changing Impact of Fathers on Women’s Occupational Choices," Journal of Human Resources, University of Wisconsin Press, vol. 46(2), pages 333-372.
    43. repec:iab:iabjlr:v:55:i::p:art.7 is not listed on IDEAS
    44. Pierre-André Chiappori, 2020. "The Theory and Empirics of the Marriage Market," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 547-578, August.
    45. Zilian, Laura S. & Zilian, Stella S. & Jäger, Georg, 2021. "Labour market polarisation revisited: evidence from Austrian vacancy data," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 55, pages 1-7.
    46. Fossen, Frank M. & Sorgner, Alina, 2022. "New digital technologies and heterogeneous wage and employment dynamics in the United States: Evidence from individual-level data," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    47. Lyu, Wenjing & Liu, Jin, 2021. "Soft skills, hard skills: What matters most? Evidence from job postings," Applied Energy, Elsevier, vol. 300(C).
    48. Guy Michaels & Ashwini Natraj & John Van Reenen, 2014. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over Twenty-Five Years," The Review of Economics and Statistics, MIT Press, vol. 96(1), pages 60-77, March.
    49. Majchrowska, Aleksandra & Strawiński, Paweł, 2018. "Impact of minimum wage increase on gender wage gap: Case of Poland," Economic Modelling, Elsevier, vol. 70(C), pages 174-185.
    50. Cortes, Guido Matias & Jaimovich, Nir & Siu, Henry E., 2017. "Disappearing routine jobs: Who, how, and why?," Journal of Monetary Economics, Elsevier, vol. 91(C), pages 69-87.
    51. 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.
    52. Nancy Kracke & Margarida Rodrigues, 2020. "A Task-Based Indicator for Labour Market Mismatch," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(2), pages 399-421, June.
    53. Anna Tatarczak & Oleksandra Boichuk, 2018. "The multivariate techniques in evaluation of unemployment analysis of Polish regions," Oeconomia Copernicana, Institute of Economic Research, vol. 9(3), pages 361-380, September.
    54. Adrian Adermon & Magnus Gustavsson, 2015. "Job Polarization and Task-Biased Technological Change: Evidence from Sweden, 1975–2005," Scandinavian Journal of Economics, Wiley Blackwell, vol. 117(3), pages 878-917, July.
    55. Clément Rey & Serge Rey & Jean-Renaud Viala, 2014. "Detection of high and low states in stock market returns with MCMC method in a Markov switching model," Post-Print hal-01885287, HAL.
    56. Haedo, Christian & Mouchart, Michel, 2018. "A stochastic independence approach for measuring regional specialization and concentration," LIDAM Reprints ISBA 2018040, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
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    More about this item

    Keywords

    Contingency table; Cluster analysis; Labour polarisation; Online job offers; Polish labour market;
    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
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand

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