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4. A researcher wanted to evaluate
UK’s exports (Y) using data for the period 1948 to 1984. He
obtained the following regression results (standard error in
parentheses):
se= (12.5) (0.080)
(t=)
(-2.35)
The 5% critical
value
is -2.95 and the 10% critical
value
is -2.60.
se =
(5.06)
(0.236) (0.163)
(t=)
(-5.89)
where
is the second
difference operator, that is the first difference of the first
difference.
What can you conclude about the stationarity of the time series
in
question?
4. A researcher wanted to evaluate
UK’s exports (Y) using data for the period 1948 to 1984. He
obtained the following regression results (standard error in
parentheses):
se= (12.5) (0.080)
(t=)
(-2.35)
The 5% critical
value
is -2.95 and the 10% critical
value
is -2.60.
se =
(5.06)
(0.236) (0.163)
(t=)
(-5.89)
where
is the second
difference operator, that is the first difference of the first
difference.
What can you conclude about the stationarity of the time series
in
question?
31 Oct 2023
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