IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v59y2025i2d10.1007_s11135-024-02047-w.html
   My bibliography  Save this article

Mapping ICT skills demand: a latent transition analysis of online job advertisements in Italy

Author

Listed:
  • Francesca Giambona

    (Informatica, Applicazioni “G. Parenti” Università di Firenze)

  • Adham Kahlawi

    (Informatica, Applicazioni “G. Parenti” Università di Firenze)

Abstract

Integrating traditional statistical sources on the labour market with online data availability is challenging as, together with official statistics, online information offers detailed and timely information about the specific skills required by businesses. In the light of this, online job advisements (OJAs) data carried out by Lightcast for Italy for ICT professionals, from the year 2019 to 2022, are used to analyse the evolution of skills required, paying particular attention to skill type and regional detail. From a methodological point of view, a latent class transition analysis is applied. Skills are classified by using as indicator variables the importance of each skill in order to: (i) classify skills into homogenous classes characterised by different levels of importance, (ii) assess whether changes in latent class membership occurred over time, and (iii) evaluate the effect of skill type and region where job is required on the latent status membership and transition probability. Empirical findings uncovered three latent statuses of skills importance from the low to the high intensity. The levels of skill importance remain quite stable over the period considered, but some interesting changes are detected for some skill types and some Italian regions.

Suggested Citation

  • Francesca Giambona & Adham Kahlawi, 2025. "Mapping ICT skills demand: a latent transition analysis of online job advertisements in Italy," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(2), pages 879-899, April.
    • Handle: RePEc:spr:qualqt:v:59:y:2025:i:2:d:10.1007_s11135-024-02047-w
    DOI: 10.1007/s11135-024-02047-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-024-02047-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11135-024-02047-w?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Emile Cammeraat & Mariagrazia Squicciarini, 2021. "Burning Glass Technologies’ data use in policy-relevant analysis: An occupation-level assessment," OECD Science, Technology and Industry Working Papers 2021/05, OECD Publishing.
    2. Shorrocks, A F, 1978. "The Measurement of Mobility," Econometrica, Econometric Society, vol. 46(5), pages 1013-1024, September.
    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. Jørn Rattsø & Hildegunn E. Stokke, 2011. "Accumulation of education and regional income growth: Limited human capital effects in Norway," Working Paper Series 11211, Department of Economics, Norwegian University of Science and Technology.
    2. Satya R. Chakravarty & Nachiketa Chattopadhyay & Nora Lustig & Rodrigo Aranda, 2020. "Measuring Directional Mobility: The Bartholomew and Prais-Bibby Indices Reconsidered," Research on Economic Inequality, in: Inequality, Redistribution and Mobility, volume 28, pages 75-96, Emerald Group Publishing Limited.
    3. Fiaschi, Davide & Lavezzi, Andrea Mario, 2007. "Nonlinear economic growth: Some theory and cross-country evidence," Journal of Development Economics, Elsevier, vol. 84(1), pages 271-290, September.
    4. Burhan Can Karahasan, 2020. "Can neighbor regions shape club convergence? Spatial Markov chain analysis for Turkey," Letters in Spatial and Resource Sciences, Springer, vol. 13(2), pages 117-131, August.
    5. Sanghamitra Bandyopadhyay & Gaston Yalonetzky, 2016. "An individual-based approach to measurement of multiple-period mobility for nominal and ordinal variables," Working Papers 65, Queen Mary, University of London, School of Business and Management, Centre for Globalisation Research.
    6. Sulekha Hembram & Souparna Maji & Sushil Kr. Haldar, 2019. "Club Convergence among the Major Indian States During 1982–2014: Does Investment in Human Capital Matter?," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 20(2), pages 184-204, September.
    7. Malcolm Keswell, 2004. "Non‐Linear Earnings Dynamics In Post‐Apartheid South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 72(5), pages 913-939, December.
    8. Alyssa Schneebaum & Bernhard Rumplmaier & Wilfried Altzinger, 2016. "Gender and migration background in intergenerational educational mobility," Education Economics, Taylor & Francis Journals, vol. 24(3), pages 239-260, June.
    9. Elinder, Mikael & Erixson, Oscar & Waldenström, Daniel, 2018. "Inheritance and wealth inequality: Evidence from population registers," Journal of Public Economics, Elsevier, vol. 165(C), pages 17-30.
    10. Magali Duque & Abigail McKnight, 2019. "Understanding the relationship between inequalities and poverty: a review of dynamic mechanisms," CASE Papers /217, Centre for Analysis of Social Exclusion, LSE.
    11. Ira N. Gang & Kseniia Gatskova & John Landon-Lane & Myeong-Su Yun, 2018. "Vulnerability to Poverty: Tajikistan During and After the Global Financial Crisis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(3), pages 925-951, August.
    12. Fattouh, Bassam & Pisicoli, Beniamino & Scaramozzino, Pasquale, 2024. "Debt and financial fragility: Italian non-financial companies after the pandemic," Economic Modelling, Elsevier, vol. 131(C).
    13. Zahra Dehghan Shabani & Rouhollah Shahnazi, 2020. "Spatial distribution dynamics and prediction of COVID‐19 in Asian countries: spatial Markov chain approach," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(6), pages 1005-1025, December.
    14. repec:ebl:ecbull:v:4:y:2006:i:22:p:1-12 is not listed on IDEAS
    15. Khadan, Jeetendra & Hosein, Roger, 2014. "Trade, Economic and Welfare impacts of the CARICOM-Canada Free Trade Agreement," MPRA Paper 54836, University Library of Munich, Germany.
    16. Gallipoli, Giovanni & Low, Hamish & Mitra, Aruni, 2020. "Consumption and Income Inequality across Generations," CEPR Discussion Papers 15166, C.E.P.R. Discussion Papers.
    17. Sulekha Hembram & Sushil Kr. Haldar, 2019. "Beta, sigma and club convergence: Indian experience from 1980 to 2015," Indian Economic Review, Springer, vol. 54(2), pages 343-366, December.
    18. Jhorland Ayala García, 2015. "Movilidad social en el Pacífico colombiano," Documentos de Trabajo Sobre Economía Regional y Urbana 13872, Banco de la República, Economía Regional.
    19. Fiaschi, Davide & Lavezzi, Andrea Mario, 2003. "Distribution Dynamics and Nonlinear Growth," Journal of Economic Growth, Springer, vol. 8(4), pages 379-401, December.
    20. Jacob Lundberg & Daniel Waldenström, 2018. "Wealth Inequality in Sweden: What can we Learn from Capitalized Income Tax Data?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(3), pages 517-541, September.
    21. Zoltan Bakucs & Imre Fertő & József Fogarasi & Laure Latruffe & Yann Desjeux & Eduard Matveev & Sonia Marongiu & Mark Dolman & Rafat Soboh, 2011. "EU farms’ technical efficiency and productivity change in 1990 – 2006 [Efficacité technique et changement de productivité des exploitations agricoles européennes 1990-2006]," Post-Print hal-02808334, HAL.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:spr:qualqt:v:59:y:2025:i:2:d:10.1007_s11135-024-02047-w. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.