Consider the following linear regression model: t = xé Btu where x is a (k+ 1) × 1 vector of explanatory variables and an unknown parameter vector that you want to estimate. The error term is specified as follows: where Ut = Gut-1 + Et, (t = 1,..., T) Et ii.d. N(0,0²). |p| < 1, a) What kind of process does ut follow? b) Derive the variance-covariance matrix of the error term vector u.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Consider the following linear regression model:
Yt = x t'ß + Ut,
(t = 1,..., T)
where is a (k+1) × 1 vector of explanatory variables and ß an unknown parameter vector
that you want to estimate. The error term is specified as follows:
where
Ut = Gut-1 + Et,
i.i.d.
Et ~ N(0,02).
|p| < 1,
a) What kind of process does ut follow?
b) Derive the variance-covariance matrix of the error term vector u.
Transcribed Image Text:Consider the following linear regression model: Yt = x t'ß + Ut, (t = 1,..., T) where is a (k+1) × 1 vector of explanatory variables and ß an unknown parameter vector that you want to estimate. The error term is specified as follows: where Ut = Gut-1 + Et, i.i.d. Et ~ N(0,02). |p| < 1, a) What kind of process does ut follow? b) Derive the variance-covariance matrix of the error term vector u.
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