Causal inference with imperfect instrumental variables

Instrumental variables allow for quantification of cause and effect relationships even in the absence of interventions. To achieve this, a number of causal assumptions must be met, the most important of which is the independence assumption, which states that the instrument and any confounding factor...

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Bibliographic Details
Main Authors: Miklin Nikolai, Gachechiladze Mariami, Moreno George, Chaves Rafael
Format: Article
Language:English
Published: De Gruyter 2022-05-01
Series:Journal of Causal Inference
Subjects:
Online Access:https://doi.org/10.1515/jci-2021-0065