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The X12 Procedure

X11 Statement

X11 options ;

The X11 statement is an optional statement for invoking seasonal adjustment by an enhanced version of the methodology of the Census Bureau X-11 and X-11Q programs. You can control the type of seasonal adjustment decomposition calculated with the MODE= option. The output includes the final tables and diagnostics for the X-11 seasonal adjustment method listed in Table 32.5. Tables C20, D1, and D7 are not displayed by default; you can display these tables by using the TABLES statement.

Table 32.5 Tables Related to X11 Seasonal Adjustment

Table Name

Description

B1

original series, adjusted for prior effects and forecast extended

C17

final weights for the irregular component

C20

final extreme value adjustment factors

D1

modified original data, D iteration

D7

preliminary trend cycle, D iteration

D8

final unmodified SI ratios (differences)

D8A

F tests for stable and moving seasonality, D8

D9

final replacement values for extreme SI ratios (differences), D iteration

D9A

moving seasonality ratios for each period

D10

final seasonal factors

D10B

seasonal factors, adjusted for user-defined seasonal

D10D

final seasonal difference

D11

final seasonally adjusted series

D11A

final seasonally adjusted series with forced yearly totals

D11R

rounded final seasonally adjusted series (with forced yearly totals)

D12

final trend cycle

D13

final irregular component

D16

combined seasonal and trading day factors

D16B

final adjustment differences

D18

combined calendar adjustment factors

E4

ratio of yearly totals of original and seasonally adjusted series

E5

percent changes (differences) in original series

E6

percent changes (differences) in seasonally adjusted series

E6A

percent changes (differences) in seasonally adjusted series with forced yearly totals (D11.A)

E6R

percent changes (differences) in rounded seasonally adjusted series (D11.R)

E7

percent changes (differences) in final trend component series

F2A–F2I

X11 diagnostic summary

F3

monitoring and quality assessment statistics

F4

day of the week trading day component factors

G

spectral plots

For more details about the X-11 seasonal adjustment diagnostics, see Shiskin, Young, and Musgrave (1967), Lothian and Morry (1978a), and Ladiray and Quenneville (2001).

The following options can appear in the X11 statement.

MODE=ADD
MODE=MULT
MODE=LOGADD
MODE=PSEUDOADD

determines the mode of the seasonal adjustment decomposition to be performed. There are four choices: multiplicative (MODE=MULT), additive (MODE=ADD), pseudo-additive (MODE=PSEUDOADD), and log-additive (MODE=LOGADD) decomposition. If this option is omitted, the procedure performs multiplicative adjustments. Table 32.6 shows the values of the MODE= option and the corresponding models for the original (O) and the seasonally adjusted (SA) series.

Table 32.6 Modes of Seasonal Adjustment and Their Models

Value of Mode Option

Name

Model for

Model for

MULT

multiplicative

ADD

additive

PSEUDOADD

pseudo-additive

LOGADD

log-additive

OUTFCST
OUTFORECAST

determines whether forecasts are included in certain tables sent to the output data set. If OUTFORECAST is specified, then forecast values are included in the output data set for tables A6, A7, A8, A9, A10, B1, D10, D10B, D10D, D16, D16B, and D18. The default is not to include forecasts.

SEASONALMA=S3X1
SEASONALMA=S3X3
SEASONALMA=S3X5
SEASONALMA=S3X9
SEASONALMA=S3X15
SEASONALMA=STABLE
SEASONALMA=X11DEFAULT
SEASONALMA=MSR

specifies which seasonal moving average (also called seasonal "filter") be used to estimate the seasonal factors. These seasonal moving averages are moving averages, meaning that an -term simple average is taken of a sequence of consecutive -term simple averages. X11DEFAULT is the method used by the U.S. Census Bureau’s X-11-ARIMA program. The default for PROC X12 is SEASONALMA=MSR, which is the methodology of Statistic Canada’s X-11-ARIMA/88 program.

Table 32.7 describes the seasonal filter options available for the entire series:

Table 32.7 X-12-ARIMA Seasonal Filter Options and Descriptions

Filter Name

Description of Filter

S3X1

a moving average

S3X3

a moving average

S3X5

a moving average

S3X9

a moving average

S3X15

a moving average

STABLE

stable seasonal filter. A single seasonal factor for each

 

calendar month or quarter is generated by calculating the simple

 

average of all the values for each month or quarter (taken after

 

detrending and outlier adjustment).

X11DEFAULT

a moving average is used to calculate the

 

initial seasonal factors in each iteration, and a moving

 

average to calculate the final seasonal factors

MSR

filter chosen automatically by using the moving seasonality

 

ratio of X-11-ARIMA/88 (Dagum; 1988)

TRENDMA=value

specifies which Henderson moving average be used to estimate the final trend cycle. Any odd number greater than one and less than or equal to 101 can be specified. Example: TRENDMA=23. If no selection is made, the program selects a trend moving average based on statistical characteristics of the data. For monthly series, a 9-, 13-, or 23-term Henderson moving average is selected. For quarterly series, the program chooses either a 5- or a 7-term Henderson moving average.

FINAL=AO
FINAL=LS
FINAL=TC
FINAL=ALL

lists the types of prior adjustment factors, obtained from the regression and outlier statements, that are to be removed from the final seasonally adjusted series. Additive outliers (FINAL=AO), level change and ramp outliers (FINAL=LS), and temporary change (FINAL=TC) can be removed. If this option is not specified, the final seasonally adjusted series contains these effects.

FORCE=TOTALS
FORCE=ROUND
FORCE=BOTH

specifies that the seasonally adjusted series be modified to (a) force the yearly totals of the seasonally adjusted series and the original series to be the same (FORCE=TOTALS), (b) adjust the seasonally adjusted values for each calendar year so that the sum of the rounded seasonally adjusted series for any year equals the rounded annual total (FORCE=ROUND), or (c) first force the yearly totals, then round the adjusted series (FORCE=BOTH). When FORCE=TOTALS, the differences between the annual totals is distributed over the seasonally adjusted values in a way that approximately preserves the month-to-month (or quarter-to-quarter) movements of the original series. For more details, see Huot (1975) and Cholette (1979). This forcing procedure is not recommended if the seasonal pattern is changing or if trading day adjustment is performed. Forcing the seasonally adjusted totals to be the same as the original series annual totals can degrade the quality of the seasonal adjustment, especially when the seasonal pattern is undergoing change. It is not natural if trading day adjustment is performed because the aggregate trading day effect over a year is variable and moderately different from zero.

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