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Double Machine Learning of Continuous Treatment Effects with Additive Instrumental Variables

This story is from 2026-08-24. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2601.01471v3 Announce Type: replace-cross Abstract: Estimating causal effects of continuous treatments is a common problem in practice, for example, in studying average dose-response functions. Classical analyses typically assume that all confounders are fully observed, whereas in real-world…

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  1. 2026-08-24 04:00 · arXiv stat.ML
    Double Machine Learning of Continuous Treatment Effects with Additive Instrumental Variables

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