Using online vacancy and job applicants' data to study skills dynamics
Bennett, Fidel ; Escudero, Verónica ; Liepmann, Hannah ; Podjanin, Ana
ILO - Geneva
2022
50 p.
labour economics ; employment ; informal employment ; occupational classification ; skilled worker ; occupational qualification ; skill ; lifelong learning ; information technology ; technological change
ILO Working Paper
75 - August 2022
Labour economics
English
Bibliogr.
"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."
Digital
ISBN (PDF) : 9789220376621
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