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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. Brian Fabo & Sharon Sarah Belli, 2017. "(Un)beliveable wages? An analysis of minimum wage policies in Europe from a living wage perspective," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 6(1), pages 1-11, December.
    3. 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.
    4. Brian Fabo & Martin Kahanec, 2020. "The Role of Computer Skills on the Occupation Level," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 6(2), pages 87-99.
    5. Javier Sebastian, 2016. "Blockchain in financial services: Regulatory landscape and future challenges," Working Papers 16/21, BBVA Bank, Economic Research Department.
    6. 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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