Question #65
Reading: Reading 2 Time-Series Analysis
PDF File: Reading 2 Time-Series Analysis.pdf
Page: 32
Status: Unattempted
Correct Answer: A
Part of Context Group: Q65-67
First in Group
Shared Context
Question
With respect to the possible problems of autocorrelation and nonstationarity, using the log- linear transformation appears to have:
Answer Choices:
A. not improved the results for either possible problems
B. improved the results for nonstationarity but not autocorrelation
C. improved the results for autocorrelation but not nonstationarity
Explanation
The fact that there is a significant trend for both equations indicates that the data is not
stationary in either case. As for autocorrelation, the analyst really cannot test it using the
Durbin-Watson test because there are fewer than 15 observations, which is the lower limit
of the DW table. Looking at the first-order autocorrelation coefficient, however, we see
that it increased (in absolute value terms) for the log-linear equation. If anything,
therefore, the problem became more severe.