GLS involves
A) writing the model in differences and estimating it by OLS, using HAC standard errors.
B) truncating the sample at both ends of the period, then estimating by OLS using HAC standard errors.
C) checking the AIC rather than the BIC in choosing the maximum lag-length of the regressors.
D) transforming the regression model so that the errors are homoskedastic and serially uncorrelated, and then estimating the transformed regression model by OLS.
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Q6: GLS
A)results in smaller variances of the estimator
Q7: A seasonal binary (or indicator or dummy)variable,
Q8: Heteroskedasticity- and autocorrelation-consistent standard errors
A)result in the
Q9: The 95% confidence interval for the dynamic
Q10: To convey information about the dynamic multipliers
Q12: The concept of exogeneity is important because
A)it
Q13: The Cochrane-Orcutt iterative method is
A)a special case
Q14: Quasi differences in Yt are defined as
A)Yt
Q15: In time series, the definition of causal
Q16: Sensitivity analysis of the results may include
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