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Swiss Job Market Monitor

A Rich Source of Demand-Side Micro Data of the Labour Market

Bibliographic Data

ID2234892
AuthorsMarlis Buchmann (0000-0002-4162-3226, University of Zurich, corresponding author), Helen Buchs (0000-0001-7639-3144, University of Zurich), Felix Busch (0000-0003-4795-4656, University of Zurich), Simon Clematide (0000-0003-1365-0662, University of Zurich), Ann-Sophie Gnehm (0000-0001-5846-4025, University of Zurich), Jan Muller (0000-0002-7530-2025, University of Zurich)
Year2022
Volume38
Issue6
Pages1001-1014
Publication date2022-12-30
Open AccessYes
TypeARTICLE
VenueEuropean Sociological Review (JOURNAL)
Journal identifiersISSN: 0266-7215 • E-ISSN: 1468-2672
PublisherOxford University Press (PUBLISHER • GB)
DOI10.1093/esr/jcac002
OpenAlexW4205188046
LanguageEN
Citations received5
References cited25

The Swiss Job Market Monitor (SJMM) is a data collection of job ads for a national labour market from 1950 onwards. It is a prime example for demonstrating how to turn digital data into a high-quality social science data set. It is also exemplary for combining digital data with historically grown job ads data to provide a comparable time series covering the past 70 years. Paying close attention to sampling procedures, coverage, and key variables, the Data Brief shows how the SJMM profits from opportunities offered by computational social science and computational linguistics to navigate a wholly new set of challenges involved in creating such a data set. It closes with a discussion of new research opportunities this data set is opening for investigating the labour market as a core institution of modern society

Big data · Business · Core (optical fiber) · Data collection · Data mining · Data quality · Data science · Data set · Economics · Institution · Job market · Key (lock) · Quality (philosophy) · Set (abstract data type) · Social media · Social science · Sociology · Telecommunications · World Wide Web · Artificial Intelligence · Computational and Text Analysis Methods · Computer Science · Engineering · Marketing · Social and Cultural Dynamics

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Citations per year1.67
Citation span2023 - 2026 (4)
Highly citedNo

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