Overidentification: Why Your Mind Misinterprets Reality
Overidentification in Causal Inference The Core Definition of Overidentification Overidentification, in the context of statistical modeling and causal inference, refers fundamentally to a methodological issue where a researcher draws conclusions about the causal effects of a particular factor that are potentially inflated or inaccurate because the underlying model is inadequately specified or contains redundant information. […]