This exercise fills in the details of the derivation of the asymptotic distribution of 1 given in

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This exercise fills in the details of the derivation of the asymptotic distribution of β1 given in Appendix 4.3.
a. Use Equation (17.19) to derive the expression
(X - ux+ Viв - В) - х-х м-у Σα-Χ «ИЕ

where vi = (Xi - μX)ui.
b. Use the central limit theorem, the law of large numbers, and Slutsky's theorem to show that the final term in the equation converges in probability to zero.
c. Use the Cauchy-Schwarz inequality and the third least squares assumption in Key Concept 17.1 to prove that var(vi)

This exercise fills in the details of the derivation of

satisfy the central limit theorem?
d. Apply the central limit theorem and Slutsky's theorem to obtain the result in Equation (17.12).

Distribution
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Introduction to Econometrics

ISBN: 978-0133595420

3rd edition

Authors: James H. Stock, Mark W. Watson

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