Double Machine Learning of Continuous Treatment Effects with General Instrumental Variables

Name: Double Machine Learning of Continuous Treatment Effects with General Instrumental Variables
Uploaded: 2026-09-02T12:24:56.218135+00:00
Duration: 404 s
Description: The episode discusses 'Double Machine Learning of Continuous Treatment Effects with General Instrumental Variables' by Chen, Zhang, and Cui. Hosts analyze the paper's methodology for identifying average dose-response functions (ADRF) using localized functions (URWF), AIPW scores, and cross-fitting to estimate causal effects across continuous treatment spaces.

The episode discusses 'Double Machine Learning of Continuous Treatment Effects with General Instrumental Variables' by Chen, Zhang, and Cui. Hosts analyze the paper's methodology for identifying average dose-response functions (ADRF) using localized functions (URWF), AIPW scores, and cross-fitting to estimate causal effects across continuous treatment spaces.

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