Essay
Consider the standard AR(1)Yt = β0 + β1Yt-1 + ut,where the usual assumptions hold.
(a)Show that yt = β0Yt-1 + ut,where yt is Yt with the mean removed,i.e. ,yt = Yt - E(Yt).Show that E(Yt)= 0.
(b)Show that the r-period ahead forecast E( +r
)=
.If 0 < β1 < 1,how does the r-period ahead forecast behave as r becomes large? What is the forecast of
for large r?
(c)The median lag is the number of periods it takes a time series with zero mean to halve its current value (in expectation),i.e. ,the solution r to E( +r
)= 0.5
.Show that in the present case this is given by r = -
.
Correct Answer:

Verified
(a)E(YT)=
+ β1E(Yt-1),since E(ut)= 0.Th...View Answer
Unlock this answer now
Get Access to more Verified Answers free of charge
Correct Answer:
Verified
View Answer
Unlock this answer now
Get Access to more Verified Answers free of charge
Q1: To choose the number of lags in
Q3: Autoregressive distributed lag models include<br>A)current and lagged
Q15: One reason for computing the logarithms (ln),
Q16: Consider the AR(1)model Yt = β0 +
Q18: The ADL(p,q)model is represented by the following
Q23: If a "break" occurs in the population
Q24: You collect monthly data on the money
Q27: The random walk model is an example
Q32: The BIC is a statistic<br>A)commonly used to
Q34: The Augmented Dickey Fuller (ADF)t-statistic<br>A)has a normal