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We provide a description of pilot and production experiences to streamline some business functions in the official statistical production process using statistical learning models. Our approach is quality-oriented searching for an improvement on accuracy, cost-efficiency, timeliness, granularity, response burden reduction, and frequency. Pilot experiences have been conducted with data from real surveys in Statistics Spain (INE).

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Streamlining Business Functions in Official Statistical Production with Machine Learning

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • Sandra Barragán,
  • Adrián Pérez-Bote,
  • Carlos Sáez,
  • David Salgado,
  • Luis Sanguiao-Sande

摘要

We provide a description of pilot and production experiences to streamline some business functions in the official statistical production process using statistical learning models. Our approach is quality-oriented searching for an improvement on accuracy, cost-efficiency, timeliness, granularity, response burden reduction, and frequency. Pilot experiences have been conducted with data from real surveys in Statistics Spain (INE).