Omitted variable bias occurs when your linear regression model is not correctly specified. This may be because you don’t know the confounding variables. Confounding variables influences the cause and effect that the researchers are trying to assess in a study. So, if the researcher cannot include these confounding variables in the statistical model, it can […]
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on
Aug 05
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10 min read
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