The following is not a consequence of Xt and Yt being cointegrated:
A) if Xt and Yt are both I(1) , then for some θ, Yt - θ Xt is I(0) .
B) Xt and Yt have the same stochastic trend.
C) in the expression Yt - θ Xt , θ is called the cointegrating coefficient.
D) if Xt and Yt are cointegrated then integrating one of the variables gives you the same result as integrating the other.
Correct Answer:
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Q2: If Yt is I(2), then
A)Δ2Yt is stationary.
B)Yt
Q3: The following is not an appropriate way
Q4: ?2Yt
A)= ?Yt - ?Yt-1.
B)=
Q5: The coefficients of the VAR are estimated
Q6: The error term in a multiperiod regression
A)is
Q8: Multiperiod forecasting with multiple predictors
A)is the same
Q9: The biggest conceptual difference between using VARs
Q10: One advantage of forecasts based on a
Q11: A vector autoregression
A)is the ADL model with
Q12: Unit root tests
A)use the standard normal distribution
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