Time series variables fail to be stationary when
A) the economy experiences severe fluctuations.
B) the population regression has breaks.
C) there is strong seasonal variation in the data.
D) there are no trends.
Correct Answer:
Verified
Q1: To choose the number of lags in
Q2: An autoregression is a regression
A)of a dependent
Q3: Autoregressive distributed lag models include
A)current and lagged
Q4: Pseudo out of sample forecasting can be
Q6: The root mean squared forecast error
Q7: Stationarity means that the
A)error terms are not
Q8: The time interval between observations can be
Q9: In order to make reliable forecasts with
Q10: The first difference of the logarithm of
Q11: The forecast is
A)made for some date beyond
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