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book Introductory Econometrics 4th Edition by Jeffrey Wooldridge cover

Introductory Econometrics 4th Edition by Jeffrey Wooldridge

Edition 4ISBN: 978-0324660609
book Introductory Econometrics 4th Edition by Jeffrey Wooldridge cover

Introductory Econometrics 4th Edition by Jeffrey Wooldridge

Edition 4ISBN: 978-0324660609
Exercise 5
Consider the standard simple regression model y = 0 + 1 x + u under the Gauss-Markov Assumptions SLR.l through SLR.5. The usual OLS estimators 30 and J3X are unbiased for their respective population parameters. Let Consider the standard simple regression model y = 0 + 1 x + u under the Gauss-Markov Assumptions SLR.l through SLR.5. The usual OLS estimators 30 and J3X are unbiased for their respective population parameters. Let   1 be the estimator of 1 obtained by assuming the intercept is zero (see Section 2.6). (i) Find E(   1 ) in terms of the x, 0 , and 1. Verify that   1 is unbiased for 1 when the population intercept ( 0 ) is zero. Are there other cases where 1 is unbiased  (ii) Find the variance of   1. (Hint: The variance does not depend on 1.)   (iv)Comment on the trade off between bias and variance when choosing between   and   . 1 be the estimator of 1 obtained by assuming the intercept is zero (see Section 2.6).
(i) Find E( Consider the standard simple regression model y = 0 + 1 x + u under the Gauss-Markov Assumptions SLR.l through SLR.5. The usual OLS estimators 30 and J3X are unbiased for their respective population parameters. Let   1 be the estimator of 1 obtained by assuming the intercept is zero (see Section 2.6). (i) Find E(   1 ) in terms of the x, 0 , and 1. Verify that   1 is unbiased for 1 when the population intercept ( 0 ) is zero. Are there other cases where 1 is unbiased  (ii) Find the variance of   1. (Hint: The variance does not depend on 1.)   (iv)Comment on the trade off between bias and variance when choosing between   and   . 1 ) in terms of the x, 0 , and 1. Verify that Consider the standard simple regression model y = 0 + 1 x + u under the Gauss-Markov Assumptions SLR.l through SLR.5. The usual OLS estimators 30 and J3X are unbiased for their respective population parameters. Let   1 be the estimator of 1 obtained by assuming the intercept is zero (see Section 2.6). (i) Find E(   1 ) in terms of the x, 0 , and 1. Verify that   1 is unbiased for 1 when the population intercept ( 0 ) is zero. Are there other cases where 1 is unbiased  (ii) Find the variance of   1. (Hint: The variance does not depend on 1.)   (iv)Comment on the trade off between bias and variance when choosing between   and   . 1 is unbiased for 1 when the population intercept ( 0 ) is zero. Are there other cases where 1 is unbiased
(ii) Find the variance of Consider the standard simple regression model y = 0 + 1 x + u under the Gauss-Markov Assumptions SLR.l through SLR.5. The usual OLS estimators 30 and J3X are unbiased for their respective population parameters. Let   1 be the estimator of 1 obtained by assuming the intercept is zero (see Section 2.6). (i) Find E(   1 ) in terms of the x, 0 , and 1. Verify that   1 is unbiased for 1 when the population intercept ( 0 ) is zero. Are there other cases where 1 is unbiased  (ii) Find the variance of   1. (Hint: The variance does not depend on 1.)   (iv)Comment on the trade off between bias and variance when choosing between   and   . 1. (Hint: The variance does not depend on 1.) Consider the standard simple regression model y = 0 + 1 x + u under the Gauss-Markov Assumptions SLR.l through SLR.5. The usual OLS estimators 30 and J3X are unbiased for their respective population parameters. Let   1 be the estimator of 1 obtained by assuming the intercept is zero (see Section 2.6). (i) Find E(   1 ) in terms of the x, 0 , and 1. Verify that   1 is unbiased for 1 when the population intercept ( 0 ) is zero. Are there other cases where 1 is unbiased  (ii) Find the variance of   1. (Hint: The variance does not depend on 1.)   (iv)Comment on the trade off between bias and variance when choosing between   and   . (iv)Comment on the trade off between bias and variance when choosing between Consider the standard simple regression model y = 0 + 1 x + u under the Gauss-Markov Assumptions SLR.l through SLR.5. The usual OLS estimators 30 and J3X are unbiased for their respective population parameters. Let   1 be the estimator of 1 obtained by assuming the intercept is zero (see Section 2.6). (i) Find E(   1 ) in terms of the x, 0 , and 1. Verify that   1 is unbiased for 1 when the population intercept ( 0 ) is zero. Are there other cases where 1 is unbiased  (ii) Find the variance of   1. (Hint: The variance does not depend on 1.)   (iv)Comment on the trade off between bias and variance when choosing between   and   . and Consider the standard simple regression model y = 0 + 1 x + u under the Gauss-Markov Assumptions SLR.l through SLR.5. The usual OLS estimators 30 and J3X are unbiased for their respective population parameters. Let   1 be the estimator of 1 obtained by assuming the intercept is zero (see Section 2.6). (i) Find E(   1 ) in terms of the x, 0 , and 1. Verify that   1 is unbiased for 1 when the population intercept ( 0 ) is zero. Are there other cases where 1 is unbiased  (ii) Find the variance of   1. (Hint: The variance does not depend on 1.)   (iv)Comment on the trade off between bias and variance when choosing between   and   . .
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i)
To show the unbiasedness of the regre...

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Introductory Econometrics 4th Edition by Jeffrey Wooldridge
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