Testing the Validity of Instrumental Variable Sets in Causal Additive Models with Non-Constant Effects
Instrumental variable (IV) methods are powerful for causal effect estimation with unmeasured confounding, but in practice researchers often face a set of candidate IVs whose validity is difficult to determine from observational data. This paper studies the problem of testing the validity of IV sets under Causal Additiv...