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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 10
Let W be an m × 1 vector with covariance matrix
Let W be an m × 1 vector with covariance matrix     where     is finite and positive definite. Let c be a nonrandom m × 1 vector, and let      a. Show that var      b. Suppose that c 0 m Show that 0 var(Q) . where
Let W be an m × 1 vector with covariance matrix     where     is finite and positive definite. Let c be a nonrandom m × 1 vector, and let      a. Show that var      b. Suppose that c 0 m Show that 0 var(Q) . is finite and positive definite. Let c be a nonrandom m × 1 vector, and let
Let W be an m × 1 vector with covariance matrix     where     is finite and positive definite. Let c be a nonrandom m × 1 vector, and let      a. Show that var      b. Suppose that c 0 m Show that 0 var(Q) .
a. Show that var
Let W be an m × 1 vector with covariance matrix     where     is finite and positive definite. Let c be a nonrandom m × 1 vector, and let      a. Show that var      b. Suppose that c 0 m Show that 0 var(Q) .
b. Suppose that c 0 m Show that 0 var(Q) .
Explanation
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a) The variable Q is defined as
blured image Here c...

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