CONSLOG - By following the sequence of commands recorded in...

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By following the sequence of commands recorded in this log, you will be able to extract a trend- cycle component from the data on U.K. Consumption. There are three alternative pathways to the same end result, which are TRACKS A, B and C. The diversions occur after the data has been read and its logarithms have been taken. IDEOLOG.PAS: Ideal Filters and their Approximations 1. Page Parameters 1 SPECIFY THE PAGE PARAMETERS Do you want PostScript Y/N? N Specify the frame surrounding the graph. 5cm x 3cm <= width x height <= 13.5cm x 9.5cm. For two diagrams per page use 9cm times 6cm For three diagrams per page use 9cm times 3.75cm Specify the width 99 Specify the height 99 2. Get the Data 2 GET THE DATA 1. Read the Data 1 READ A DATA FILE Name the Data File = cons.txt There are 160 data points What is the interval between observations? (q) Quarterly q
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NAME THE DATA By default the data will be described as <<an unidentified data series>> Do you wish to rename the data Y/N? N GET THE DATA 3. Transform the Data 3 TRANSFORM THE DATA 2. Take Natural Logarithms 2 7. Return to the Main Menu 7 {++++++++++++++++++++++++++++++++++++++++++++} TRACK B: estimate the trend/cycle component by method B. (This method reduces the data to stationarity via the difference operator. Then the differenced data is translated to the frequency domain, where the low-frequency ordinates are selected and the high-frequency ordinates are rejected. Within the frequency domain, the selected ordinates are re-scaled using the values of the ordinates of the frequency response function of the summation operator. Then, the re-scaled
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CONSLOG - By following the sequence of commands recorded in...

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