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This study explores the application of machine learning techniques to predict individual employment category, using data from both surveys and administrative records. Specifically, data on employment categories come from the linked datasets of the Italian Labour Force Survey and the Employment Register from the Italian National Institute of Statistics, covering the period from 2017 to 2021. This work is part of an important academic debate on the issue of flexible work in Europe.

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A Machine Learning Approach for Multi-source Data on Flexible Employment

  • 会议论文

  • 发表日期：

    2025年

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  • Roberta Varriale,
  • Silvia Loriga,
  • Francesco Isidori

摘要

This study explores the application of machine learning techniques to predict individual employment category, using data from both surveys and administrative records. Specifically, data on employment categories come from the linked datasets of the Italian Labour Force Survey and the Employment Register from the Italian National Institute of Statistics, covering the period from 2017 to 2021. This work is part of an important academic debate on the issue of flexible work in Europe.