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Using online vacancy and job applicants’ data to study skills dynamics

Author

Listed:
  • Bennett, Fidel,
  • Escudero, Verónica,
  • Liepmann, Hannah,
  • Podjanin, Ana,

Abstract

This paper finds that big data on vacancies and applications to an online job board can be a promising data source for studying skills dynamics, especially in countries where alternative sources are scarce. To show this, we develop a skills taxonomy, assess the characteristics of such online data, and employ natural language processing and machine-learning techniques. The empirical implementation uses data from the Uruguayan job board BuscoJobs, but can be replicated with similar data from other countries.

Suggested Citation

  • Bennett, Fidel, & Escudero, Verónica, & Liepmann, Hannah, & Podjanin, Ana,, 2022. "Using online vacancy and job applicants’ data to study skills dynamics," ILO Working Papers 995202692602676, International Labour Organization.
    • Handle: RePEc:ilo:ilowps:995202692602676
    DOI: 10.54394/EWWE6877
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    Cited by:

    1. is not listed on IDEAS
    2. Vezza, Evelyn & Zunino,Gonzalo & Laguinge,Luis & Moroz, Harry Edmund & Apella, Ignacio Raul & Spivack, Marla Hillary, 2025. "Understanding Labor Market Demand in Real Time in Argentina and Uruguay," Policy Research Working Paper Series 11086, The World Bank.

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    Keywords

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    JEL classification:

    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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