Functional form misspecification occurs when the relationship between independent and dependent variables is inaccurately modeled in a regression analysis. This can lead to biased or inconsistent estimates, ultimately affecting the validity of the model's predictions. It highlights the importance of correctly specifying the functional form, as it can impact other assumptions like linearity and homoskedasticity, influencing overall model performance.
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