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.
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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