Included-variable bias
Read OriginalThe article discusses regression models and the bias that arises when comparing coefficients from models with different sets of variables. It argues that the common term 'omitted-variable bias' implies an incorrect directionality, and introduces the symmetric concept of 'included-variable bias'. The piece critiques the gold-standard approach to model selection and emphasizes defining the target of estimation.
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