Literaturnachweis - Detailanzeige
| Autor/inn/en | Romanko, Oleksii; O'Mahony, Mary |
|---|---|
| Institution | Economic Statistics Centre of Excellence |
| Titel | The Use of Online Job Sites for Measuring Skills and Labour Market Trends: A Review. Gefälligkeitsübersetzung: Die Nutzung von Online-Jobbörsen zur Messung von Qualifikations- und Arbeitsmarkttrends: Ein Überblick. |
| Quelle | London (2022), 48 S.
PDF als Volltext kostenfreie Datei (1); PDF als Volltext kostenfreie Datei (2) |
| Reihe | ESCoE technical report / Economic Statistics Centre of Excellence. 19 |
| Sprache | englisch |
| Dokumenttyp | online; Monografie |
| Schlagwörter | Datenanalyse; Datengewinnung; Lohnhöhe; Arbeitsmarktentwicklung; Arbeitsmarktforschung; Arbeitsmarktstatistik; Qualifikationsanforderung; Jobbörse; Arbeitspapier; Repräsentativität; Internet; Datenaufbereitung; Großbritannien |
| Abstract | "We explore the use of online job postings as an innovative complementary source of labour demand statistics. The paper concentrates on new developments in the area, including the usage and validation of online data sources, trends, biases and caveats of the data generation and data extraction process. We provide detailed explanations of the data cleansing and data preparation process which proves to be useful for anyone working with raw online data sources. We explore the general data pipeline underpinning continuous data mining and data utilization, that could be beneficial for any organization building its own online data analysis process. We provide detailed discussions of the design of the skills extraction process using word2vec model. We discuss the application of the model and explore some of the skills analysis methods and visualizations, such as job titles, salaries, frequent skills histograms, skills correlation scatterplots, graph analysis of skills co-occurrence, UK regional skills analysis. We applied regression analysis, outlining various effects of person competencies on the salary. We conclude that online job postings provide rich and extensive insights into the labour market and can complement the official statistics." (Author's abstract, IAB-Doku) ((en)) |
| Erfasst von | Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg |
| Update | 2023/1 |
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