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book Introduction to Econometrics 3rd Edition by James Stock, Mark Watson cover

Introduction to Econometrics 3rd Edition by James Stock, Mark Watson

Edition 3ISBN: 978-9352863501
book Introduction to Econometrics 3rd Edition by James Stock, Mark Watson cover

Introduction to Econometrics 3rd Edition by James Stock, Mark Watson

Edition 3ISBN: 978-9352863501
Exercise 11
Consider the regression model Y t = 0 + 1 X t + u t where u, follows the stationary AR(1) mode with
Consider the regression model Y t = 0 + 1 X t + u t where u, follows the stationary AR(1) mode with     . with mean 0 and variance and |  1 | 1, the regressor X t follows the stationary AR(1) mode with e t i.i.d. with mean 0 and variance and | 1 | 1, and e t is independent of for all t and i.  a. Show that var and var( X t ) =     . b. Show that cov and cov     . c. Show that corr and corr     . d. Consider the terms and f T in Equation (15.14). i. Show that where is the variance of X and     , is the variance of u.  ii. Derive an expression for f . with mean 0 and variance and |
1 | 1, the regressor X t follows the stationary AR(1) mode with e t i.i.d. with mean 0 and variance and | 1 | 1, and e t is independent of for all t and i.
a. Show that var and var( X t ) =
Consider the regression model Y t = 0 + 1 X t + u t where u, follows the stationary AR(1) mode with     . with mean 0 and variance and |  1 | 1, the regressor X t follows the stationary AR(1) mode with e t i.i.d. with mean 0 and variance and | 1 | 1, and e t is independent of for all t and i.  a. Show that var and var( X t ) =     . b. Show that cov and cov     . c. Show that corr and corr     . d. Consider the terms and f T in Equation (15.14). i. Show that where is the variance of X and     , is the variance of u.  ii. Derive an expression for f .
b. Show that cov and cov
Consider the regression model Y t = 0 + 1 X t + u t where u, follows the stationary AR(1) mode with     . with mean 0 and variance and |  1 | 1, the regressor X t follows the stationary AR(1) mode with e t i.i.d. with mean 0 and variance and | 1 | 1, and e t is independent of for all t and i.  a. Show that var and var( X t ) =     . b. Show that cov and cov     . c. Show that corr and corr     . d. Consider the terms and f T in Equation (15.14). i. Show that where is the variance of X and     , is the variance of u.  ii. Derive an expression for f .
c. Show that corr and corr
Consider the regression model Y t = 0 + 1 X t + u t where u, follows the stationary AR(1) mode with     . with mean 0 and variance and |  1 | 1, the regressor X t follows the stationary AR(1) mode with e t i.i.d. with mean 0 and variance and | 1 | 1, and e t is independent of for all t and i.  a. Show that var and var( X t ) =     . b. Show that cov and cov     . c. Show that corr and corr     . d. Consider the terms and f T in Equation (15.14). i. Show that where is the variance of X and     , is the variance of u.  ii. Derive an expression for f .
d. Consider the terms and f T in Equation (15.14).
i. Show that where is the variance of X and
Consider the regression model Y t = 0 + 1 X t + u t where u, follows the stationary AR(1) mode with     . with mean 0 and variance and |  1 | 1, the regressor X t follows the stationary AR(1) mode with e t i.i.d. with mean 0 and variance and | 1 | 1, and e t is independent of for all t and i.  a. Show that var and var( X t ) =     . b. Show that cov and cov     . c. Show that corr and corr     . d. Consider the terms and f T in Equation (15.14). i. Show that where is the variance of X and     , is the variance of u.  ii. Derive an expression for f , is the variance of u.
ii. Derive an expression for f
Explanation
Verified
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b) The u term can be defined recursively...

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Introduction to Econometrics 3rd Edition by James Stock, Mark Watson
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