 # Bộ câu hỏi trắc nghiệm môn Kinh tế lượng - Phần 3

• 30/08/2021
• 20 Câu hỏi
• 579 Lượt xem

Trắc Nghiệm Hay giới thiệu đến các bạn Bộ câu hỏi trắc nghiệm môn Kinh tế lượng - Phần 3. Tài liệu bao gồm 20 câu hỏi kèm đáp án thuộc danh mục Kinh tế thương mại. Tài liệu này sẽ giúp các bạn ôn tập, củng cố lại kiến thức để chuẩn bị cho các kỳ thi sắp tới. Mời các bạn tham khảo!

3.8 10 Đánh giá

18/10/2021

30 Phút

35 Lần thi

##### Câu 1: A normal distribution has coefficients of skewness and excess kurtosis which are respectively:

A. 0 and 0

B. 0 and 3

C. 3 and 0

D. Will vary from one normal distribution to another

##### Câu 2: 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 3: What would be the consequences for the OLS estimator if autocorrelation is present in a regression model but ignored?

A. It will be biased

B. It will be inconsistent

C. It will be inefficient

D. All of a, b and c will be true

A. Close to zero

B. Close to two

C. Close to four

D. Close to one

##### Câu 5: 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

##### Câu 6: If a regression equation contains an irrelevant variable, the parameter estimates will be

A. Consistent and unbiased but inefficient

B. Consistent and asymptotically efficient but biased

C. Inconsistent

D. Consistent, unbiased and efficient

##### Câu 7: Which of the following sets of characteristics would usually best describe an autoregressive process of order 3 (i.e. an AR(3))?

A. A slowly decaying acf, and a pacf with 3 significant spikes

B. A slowly decaying pacf and an acf with 3 significant spikes

C. A slowly decaying acf and pacf

D.  An acf and a pacf with 3 significant spikes

##### Câu 8: A process, xt, which has a constant mean and variance, and zero autocovariance for all non-zero lags is best described as:

A. A white noise process

B. A covariance stationary process

C. An autocorrelated process

D. A moving average process

##### Câu 9: 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

##### Câu 10: 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

##### Câu 11: 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

##### Câu 12: 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

##### Câu 13: 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

A. An AR(1)

B. An AR(2)

C. An ARMA(1,1)

D. An MA(3)

A. -0.1

B. 0.27

C. -0.34

D. -0.31

##### Câu 16: Which criticism of Dickey-Fuller (DF) -type tests is addressed by stationarity tests, such as the KPSS test?

A. DF tests have low power to reject the null hypothesis of a unit root, particularly in small samples

B.  DF tests are always over-sized

C. DF tests do not allow the researcher to test hypotheses about the cointegrating vector

D. DF tests can only find at most one cointegrating relationship

##### Câu 17:  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

A. 0

B. 1

C. 2

D. 3

##### Câu 19: If the number of non-zero eigenvalues of the pi matrix under a Johansen test is 2, this implies that

A. There are 2 linearly independent cointegrating vectors

B. There are at most 2 linearly independent cointegrating vectors

C. There are 3 variables in the system

D. There are at least 2 linearly independent cointegrating vectors

##### Câu 20: If a Johansen “max” test for a null hypothesis of 1 cointegrating vectors is applied to a system containing 4 variables is conducted, which eigenvalues would be used in the test?

A. The largest 1

B. The Second largest

C. The Second smallest

D. The smallest

Chưa có bình luận

để viết bình luận Chủ đề: Bộ câu hỏi trắc nghiệm môn Kinh tế lượng có đáp án Xem thêm...

Thông tin thêm
• 35 Lượt thi
• 30 Phút
• 20 Câu hỏi
• Sinh viên

### Cùng chủ đề Bộ câu hỏi trắc nghiệm môn Kinh tế lượng có đáp án

• 3.5K
• 568
• 20
• 61 người đang thi
• 213.1K
• 129
• 20
• 15 người đang thi
• 421
• 18
• 20
• 72 người đang thi
• 626
• 105
• 20
• 97 người đang thi