multiple-choice questions and all others are as noted. are not exact linear func
ID: 1152162 • Letter: M
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multiple-choice questions and all others are as noted. are not exact linear functions of the other eet" for reference. ii) You need to show steps for all compu need more space. se the back of this exam to write your answers if you need more spec.. as noted. oints worth: 3 points each for multiple-choice question Which of the following is not an assumption of of the following is not an assumption of the multiple regression." a. The values of each xik are not random a explanatory variables. b. The least squares estimators are BLUE. c. var(yi) = var(u) = o- d. covyy) = cov(ui, ui) = 0; (ii) Which of the following is untrue for an OLS model? a. (B)=B, if E( X)=0. b. B is a weighted sum of Y. C. B is normally distributed regardless of sample size under 4 Gaus assumptions. var(B) is smallest among all linear unbiased estimator of Pj unde assumptions. Which of the following is incorrect? We might use F-test if a. the variance of u changes with X. b. var(u||X)=o2. c. The sample size is large. d. u is normally distributed. all linear unbiased estimator of B under Gauss-Markov c. The main advantage of using panel data over cross-sectional data is that it a. gives you more observations. b. allows you to analyze behavior across time but not across entities. allows you to look up critical values in the standard normal distribution. d. allows you to control for some types of omitted variables without actually obs them. Given a time series model about interest rate: int=Bo+Binti-1+u, a. If|BiExplanation / Answer
- a is correct
Values of x are random and one explanatory variables should not be correlated to other explanatory variables, not necessarily linearly.
- Bj is not a weighted sum of Y, rather it is slope coefficient. It tells the change in Y due to changes in explanatory variables.
- a is correct
Variance of u with respect to X should be 0
- d is correct
Panel data contains information on both intertemporal dynamics and individuality of entities which controls the effect of omitted variables.
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