sample exam 2-2

sample exam 2-2 - Econometrics Exam No. 2 Sample Exam Point...

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Econometrics Exam No. 2 Sample Exam Point Distribution: I. A. 10 @ 3 B. 5 @ 5 II. 15 III. A. 10 B. 15 C. 20 D. 10 E. 2@10 Total 145
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I. Basic Statistical Concepts A. Define and briefly explain the following terms: 1. Maximum likelihood estimator 2. Dummy variable trap 3. White test 4. Durbin's h test 5. Autoregressive model 6. Specification error 7. Koyck distributive lag model 8. Jarque-Bera test 9. Interaction terms 10. Robust standard errors B. Indicate whether each of the following statements is true or false and defend your answer. 1. If the calculated F-statistic associated with a regression model is significant at the " -level of significance, then at least one non-intercept "t-statistic" will be significant at the same " -level. 2. Least squares estimation of parameters in linear regression models is of questionable value because of the existence of autocorrelation in time series or heteroskedasticity in cross sectional data which will result in biased estimators. 3. If the calculated value of the Durbin-Watson test statistic is not between 1.5 and 2.5, then the associated random disturbances are autocorrelated.
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This note was uploaded on 02/29/2012 for the course ECON 388 taught by Professor Mcdonald,j during the Winter '08 term at BYU.

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sample exam 2-2 - Econometrics Exam No. 2 Sample Exam Point...

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