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29. To adjust a model for serial correlation, one would use: a. the Goldfeld-Quandt method b. a dummy variable approach c. weighted least squares d. the Cochrane-Orcutt procedure 30. Multicollinearity may result in: a. elevated t-values b. incorrect sign associated with a parameter estimate c. a and b d. None of the above.
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29. d. Cochrane-orcutt procedure

After using the Durbin-statistic approach to find out whether the error term is serially correlated, to adjust for it, we may use the cochrane orcutt procedure. This procedure transforms the model using quasi-difference.

30. b. incorrect sign associated with a parameter estimate

Multicollinearity results in rather insignificant t-ratios because it raises the value of the standard error [as we know t=B/SE(B)]. It renders the parameters wildly volatile and sensitive to even small changes.

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