midterm_2005a

midterm_2005a - Economics 103 Introduction to Econometrics...

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Economics 103 Introduction to Econometrics Winter 2005 Professor Sandra Black VERSION A VERSION A VERSION A MIDTERM: VERSION A Instructions: Put your name, ID number, and TA Name (or Section Number) on the Exam. DO NOT USE A CALCULATOR!!!! For complicated math, simply set up the problem but do not solve it. You will be graded on your setup. NAME:_________________________________________ STUDENT ID:___________________________________ TA:___________________________________________
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Some possibly relevant formulas for the bivariate case: = = = = 2 2 ^ 2 2 2 2 ^ 1 2 2 ^ ^ 2 ^ 1 ) ( ) var( ) ( ) var( ) ( ) )( ( X X X X n X X X Y Y X X X Y i i i i i i σ β PART 1A: TRUE/FALSE/EXPLAIN YOU ARE GRADED ON YOUR EXPLANATION (5 Points Each) 1. Ordinary Least Squares (OLS) estimators minimize the difference between the actual value (Y i ) and the predicted value (Yhat). 2. One assumption of the Classical Linear Regression Model is that the sum of the OLS residuals will equal zero.
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3. If you use the Minimum Variance Unbiased Estimator (MVUE), your estimate will equal the true population parameter. 4. Var(4X+3Y)=4Var(X)+3Var(Y) 5. In the case of a continuous random variable, the area under the cumulative density function will total 1.
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6. If two random variables have zero covariance, then their joint distribution is equal to the product of their marginal distributions.
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midterm_2005a - Economics 103 Introduction to Econometrics...

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