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In many empirical studies, it may not be available to observe the accurate data. For instance, [1] indicated that over 75% of the variance in fat intake data from the Epidemiologic Study Cohort in NHANES-I stems from measurement error. This chapter focuses on continuous treatment data measured with classical error, where researchers only observe the sum of the treatment and a random error, rather than the actual treatment received.

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Causal Inference with Measurement Errors

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

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  • Zheng Zhang,
  • Kun Zhang,
  • Xing Yan,
  • Songshan Yang,
  • Yuqian Zhang

摘要

In many empirical studies, it may not be available to observe the accurate data. For instance, [1] indicated that over 75% of the variance in fat intake data from the Epidemiologic Study Cohort in NHANES-I stems from measurement error. This chapter focuses on continuous treatment data measured with classical error, where researchers only observe the sum of the treatment and a random error, rather than the actual treatment received.