Two seemingly paradoxical results in linear models: the variance inflation factor and the analysis of covariance

A result from a standard linear model course is that the variance of the ordinary least squares (OLS) coefficient of a variable will never decrease when including additional covariates into the regression. The variance inflation factor (VIF) measures the increase of the variance. Another result from...

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Bibliographic Details
Main Author: Ding Peng
Format: Article
Language:English
Published: De Gruyter 2021-03-01
Series:Journal of Causal Inference
Subjects:
Online Access:https://doi.org/10.1515/jci-2019-0023

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