Câu hỏi: Consider the following picture and suggest the model from the following list that best characterises the process:
A. An AR(1)
B. An AR(2)
C. An ARMA(1,1)
D. An MA(3)
Câu 1: Which of the following would probably NOT be a potential “cure” for non-normal residuals?
A. Transforming two explanatory variables into a ratio
B. Removing large positive residuals
C. Using a procedure for estimation and inference which did not assume normality
D. Removing large negative residuals
30/08/2021 9 Lượt xem
Câu 2: If there are three variables that are being tested for cointegration, what is the maximum number of linearly independent cointegrating relationships that there could be?
A. 0
B. 1
C. 2
D. 3
30/08/2021 7 Lượt xem
Câu 3: If a series, yt, follows a random walk (with no drift), what is the optimal 1-step ahead forecast for y?
A. The current value of y
B. Zero
C. The historical unweighted average of y
D. An exponentially weighted average of previous values of y
30/08/2021 8 Lượt xem
Câu 4: If the residuals of a model containing lags of the dependent variable are autocorrelated, which one of the following could this lead to?
A. Biased but consistent coefficient estimates
B. Biased and inconsistent coefficient estimates
C. Unbiased but inconsistent coefficient estimates
D. Unbiased and consistent but inefficient coefficient estimates
30/08/2021 7 Lượt xem
Câu 5: Which one of the following best describes most series of asset prices?
A. An independently and identically distributed (iid, i.e. “completely random”) process
B. A random walk with drift
C. An explosive process
D. A deterministic trend process
30/08/2021 9 Lượt xem
Câu 6: If a series, yt, follows a random walk (with no drift), what is the optimal 1-step ahead forecast for y?
A. The current value of y
B. Zero
C. The historical unweighted average of y
D. An exponentially weighted average of previous values of y
30/08/2021 9 Lượt xem

Câu hỏi trong đề: Bộ câu hỏi trắc nghiệm môn Kinh tế lượng - Phần 3
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