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Statistical Profiling of Unemployed Jobseekers

Bert G. M. Van LandeghemSam DesiereLudo Struyven

其他書名	The Increasing Availability of Big Data Allows for the Profiling of Unemployed Jobseekers Via Statistical Models
出版	Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), 2021
URL	http://books.google.com.hk/books?id=GphAzwEACAAJ&hl=&source=gbs_api

註釋Statistical models can help public employment services to identify factors associated with long-term unemployment and to identify at-risk groups. Such profiling models will likely become more prominent as increasing availability of big data combined with new machine learning techniques improve their predictive power. However, to achieve the best results, a continuous dialogue between data analysts, policymakers, and case workers is key. Indeed, when developing and implementing such tools, normative decisions are required. Profiling practices can misclassify many individuals, and they can reinforce but also prevent existing patterns of discrimination.