Question
Multicollinearity
Answer :
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Multicollinearity is a statistical phenomenon in regression analysis where two or more explanatory variables in a model are highly linearly correlated, making it difficult to isolate the individual effect of each variable on the dependent variable. In applied econometrics, this is a crucial issue because it affects the reliability and interpretability of estimated coefficients. When multicollinearity exists, standard errors of the coefficients increase, leading to wider confidence intervals and less
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