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Prospects for utilisation of non-vacancy Internet data in labour market analysis—an overview

Author

Listed:
  • Karolien Lenaerts

    (Centre for European Policy Studies (CEPS, Brussels))

  • Miroslav Beblavý

    (Centre for European Policy Studies (CEPS, Brussels))

  • Brian Fabo

    (Centre for European Policy Studies (CEPS, Brussels)
    Central European University (CEU Budapest))

Abstract

Along with the advancement of the Internet in the last decade, researchers have increasingly identified the web as a research platform and a data source, pointing out its value for labour market analysis. This article presents a review of online data sources for this field. Specifically, the article introduces web-based research, focusing on the potential of relatively new data sources such as Google Trends, social networks (LinkedIn, Facebook and Twitter) and Glassdoor (surveys). For these data sources, a review is done and recent empirical applications are listed. Web-based data can further our understanding of the dynamics of the labour market. JEL codes: E4, J2

Suggested Citation

  • Karolien Lenaerts & Miroslav Beblavý & Brian Fabo, 2016. "Prospects for utilisation of non-vacancy Internet data in labour market analysis—an overview," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-18, December.
    • Handle: RePEc:spr:izalbr:v:5:y:2016:i:1:d:10.1186_s40172-016-0042-z
    DOI: 10.1186/s40172-016-0042-z
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    Cited by:

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    2. Fabo, B., 2017. "Towards an understanding of job matching using web data," Other publications TiSEM b8b877f2-ae6a-495f-b6cc-9, Tilburg University, School of Economics and Management.
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    4. 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.
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    7. 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.

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    More about this item

    Keywords

    Labour market; Web-based research; Data sources; Google Trends; Social networking sites; Glassdoor;
    All these keywords.

    JEL classification:

    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor

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