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3 years ago

Which of the following is true about multicollinearity?

Business

1 answer:

Komok [63]3 years ago

3 0

Answer:

d. It is best measured using the statistic variance inflation factor (VIF).

Explanation:

Multicollinearity is an important issue in multiple regression model, having many independent/ explanatory variables. Multicollinearity is the situation in which two or more independent variables are highly correlated. It is problematic because it increases the standard error of independent variable coefficient & undermines its statistical significance

Variance Inflation Factor [VIF] is a check & corrective measure of multicollinearity.

VIF as a multicollinearity check : It quantifies the correlation between one explanatory variable with other explanatory variables.VIF = 1 implies there is no multicollinearity (correlation between independent variables); VIF upto 5 implies there is moderate multicollinearity (correlation between independent variables). VIF > 5 implies high multicollinearity (correlation between independent variables)
VIF as a multicollinearity correction : Calculating $Var (\beta j )$ = σ^2 / $[TSS j (1 - R^2j)]$ ; where TSS = total sum of square of variable j , σ^2 = j variance, R^2 j = R^2 from regressing all other independent variable on variable j

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3 years ago

A government deficit has increased from 30 to 50. The country's trade deficit is 100 and private savings equal 65 and investment

viva [34]

Answer:

If Ricardian neutrality holds true, after this change in the government's budget, private savings will equal 40.

Explanation:

S - I = X - M, where

S = Sp + Sg, where

Sp: private saving

Sg: Public saving = T - G

Sp + T - G - I = X - M

or,

Sp - I = (G - T) - (M - X) = Budget deficit - Trade deficit

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65 - 30 = 90 - 100 = - 10

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Therefore, If Ricardian neutrality holds true, after this change in the government's budget, private savings will equal 40.

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