Câu hỏi: Which of the following is NOT a good reason for including lagged variables in a regression?
A. Slow response of the dependent variable to changes in the independent variables
B. Over-reactions of the dependent variables
C. The dependent variable is a centred moving average of the past 4 values of the series
D. The residuals of the model appear to be non-normal
Câu 1: The numerical score assigned to the credit rating of a bond is best described as what type of number?
A. Continuous
B. Cardinal
C. Ordinal
D. Nominal
30/08/2021 10 Lượt xem
Câu 2: Which of the following is a correct interpretation of a “95% confidence interval” for a regression parameter?
A. We are 95% sure that the interval contains the true value of the parameter
B. We are 95% sure that our estimate of the coefficient is correct
C. We are 95% sure that the interval contains our estimate of the coefficient
D. In repeated samples, we would derive the same estimate for the coefficient 95% of the time
30/08/2021 9 Lượt xem
Câu 3: Which of the following would you expect to be a problem associated with adding lagged values of the dependent variable into a regression equation?
A. The assumption that the regressors are non-stochastic is violated
B. A model with many lags may lead to residual non-normality
C. Adding lags may induce multicollinearity with current values of variables
D. The standard errors of the coefficients will fall as a result of adding more explanatory variables
30/08/2021 8 Lượt xem
Câu 4: What result is proved by the Gauss-Markov theorem?
A. That OLS gives unbiased coefficient estimates
B. That OLS gives minimum variance coefficient estimates
C. That OLS gives minimum variance coefficient estimates only among the class of linear unbiased estimators
D. That OLS ensures that the errors are distributed normally
30/08/2021 9 Lượt xem
Câu 5: Which of the following is NOT a good reason for including a disturbance term in a regression equation?
A. It captures omitted determinants of the dependent variable
B. To allow for the non-zero mean of the dependent variable
C. To allow for errors in the measurement of the dependent variable
D. To allow for random influences on the dependent variable
30/08/2021 8 Lượt xem
Câu 6: Consider an increase in the size of the test used to examine a hypothesis from 5% to 10%. Which one of the following would be an implication?
A. The probability of a Type I error is increased
B. The probability of a Type II error is increased
C. The rejection criterion has become more strict
D. The null hypothesis will be rejected less often
30/08/2021 7 Lượt xem

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