Câu hỏi: 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
Câu 1: Which of the following conditions must hold for the autoregressive part of an ARMA model to be stationary?
A. All roots of the characteristic equation must lie outside the unit circle
B. All roots of the characteristic equation must lie inside the unit circle
C. All roots must be smaller than unity
D. At least one of the roots must be bigger than one in absolute value
30/08/2021 7 Lượt xem
Câu 2: 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)
30/08/2021 7 Lượt xem
Câu 3: Consider a series that follows an MA(1) with zero mean and a moving average coefficient of 0.4. What is the value of the autocorrelation function at lag 1?
A. 0.4
B. 0.34
C. 1
D. It is not possible to determine the value of the autocovariances without knowing the disturbance variance
30/08/2021 9 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: What is the optimal three-step ahead forecast from the AR(2) model given in question 14?
A. -0.1
B. 0.27
C. -0.34
D. -0.31
30/08/2021 8 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 8 Lượt xem

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