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Update of the Swiss Job Market Monitor dataset: Now with working time, work devotion, and work–life balance extractions

In addition to extending the time coverage, the dataset includes previously released NLP-based skill and task extractions. These models identify the skills, knowledge requirements, and work activities described in job advertisements and link them to international labour market ontologies such as ESCO and O*NET, providing a unique basis for studying the changing demand for skills and tasks over time.

The update also includes newly developed NLP-based models that extract fine-grained information on working time, work devotion, and work–life balance from job advertisements. These newly added variables provide a unique basis for studying the evolution of working time requirements, employers' work devotion expectations, and the advertisement of work–life balance support and flexible working arrangements over time.

The dataset is open access for scientific research through SWISSUbase and Zenodo.

For more details on the dataset, see the Data Brief published in the European Sociological Review (2022): Swiss Job Market Monitor: A Rich Source of Demand-Side Micro Data of the Labour Market.

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Swiss Job Market Monitor SJMM

Swiss Job Market Monitor aims to systematically expand scientific knowledge about the job market, and to help improve labour market transparency by informing the general public about current developments on the job market. The focus is on continuous monitoring and information and scholarly research into the job market.