3. Suppose you have the following model y, = Bo + B,x; +u,, i=1,...,n,n+1,..,n+ p with the classical assumptions being satisfied. You want to estimate the model using the first n number of observations and then predict the rest of the observations. a) Show that the prediction error for the n+1th observation is made up of two components, estimation error and the random disturbance term that occurs inherently in the prediction period.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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3. Suppose you have the following model
Y; = Bo + B,x; +u,, i=1,..,n,n+1,..,n+ p
with the classical assumptions being satisfied. You want to estimate the model using the
first n number of observations and then predict the rest of the observations.
a) Show that the prediction error for the n+1h observation is made up of two
components, estimation error and the random disturbance term that occurs
inherently in the prediction period.
b) Show that the components you obtained in (a) are uncorrelated.
Transcribed Image Text:3. Suppose you have the following model Y; = Bo + B,x; +u,, i=1,..,n,n+1,..,n+ p with the classical assumptions being satisfied. You want to estimate the model using the first n number of observations and then predict the rest of the observations. a) Show that the prediction error for the n+1h observation is made up of two components, estimation error and the random disturbance term that occurs inherently in the prediction period. b) Show that the components you obtained in (a) are uncorrelated.
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