Causal inference in observational settings seeks to estimate the effect of exposures, treatments or interventions on outcomes in the absence of random assignment. Unlike experimental designs, ...
Causal inference methods are central to determining the true impact of policies in fields such as public health, education, taxation and environmental regulation. Whereas randomised controlled trials ...
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