Table 45.1 summarizes the statements and options that control the X13 procedure.
Table 45.1: X13 Syntax Summary
Description |
Statement |
Option |
---|---|---|
Data Set Options |
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Specifies the auxiliary data set |
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Specifies the input data set |
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Specifies the user-defined event definition data set |
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Specifies regression and ARIMA information |
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Outputs regression and ARIMA information |
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Writes summary statistics to an output data set |
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Writes table values to an output data set |
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Appends forecasts to the OUTPUT OUT= data |
X11 or |
|
set |
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Prefixes backcasts to the OUTPUT OUT= data set |
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Display Control Options |
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Suppresses all displayed output |
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Specifies the plots to be displayed |
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Specifies the type of spectral plot to be |
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displayed |
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Specifies the series for spectral analysis |
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Displays automatic model information |
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Specifies the number of lags in regARIMA |
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model residuals ACF and PACF tables and plots |
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Displays regARIMA model residuals |
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information |
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Displays the iterations history |
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Displays information about restarted iterations |
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Specifies the differencing used in the ARIMA model identification ACF and PACF tables and plots |
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Specifies the seasonal differencing used in the ARIMA model identification ACF and PACF tables and plots |
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Specifies the number of lags in ARIMA model |
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identification ACF and PACF tables and plots |
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Displays regression model parameter estimates |
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Requests tables that are not displayed by |
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default |
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Specifies that the summary line not be |
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displayed |
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Date Information Options |
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Specifies the date variable |
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Specifies the date of the first observation |
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Specifies the beginning or ending date or both of the subset |
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Specifies the interval of the time series |
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Specifies the interval of the time series |
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Declaring the Role of Variables |
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Specifies BY-group processing |
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Specifies identifying variables |
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Specifies the variables to be seasonally adjusted |
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Specifies the user-defined variables that are |
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available for regression |
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Controlling the Table Computations |
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Suppresses trimming of leading and trailing missing values (if they exist) |
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Transforms or prior-adjusts the series |
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Transforms or prior-adjusts the series |
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Adjusts the series by using a predefined |
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adjustment variable |
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Specifies the likelihood function to be used for estimating AR and MA parameters |
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Specifies the maximum number of iterations for estimating AR and MA parameters |
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Specifies the convergence tolerance for |
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nonlinear estimation |
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Specifies size of forecast confidence limits |
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Specifies the number of backcasts by which to extend the series for seasonal adjustment |
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Specifies the number of forecasts by which to extend the series for seasonal adjustment |
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Specifies that one-step-ahead forecasts be computed |
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Specifying Outlier Detection Options |
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Specifies automatic outlier detection |
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Specifies the span for outlier detection |
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Specifies the outlier types to be detected |
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Specifies the critical values for outlier detection |
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Specifies the critical values for AO outlier |
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detection |
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Specifies the critical values for LS outlier |
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detection |
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Specifies the critical values for TC outlier |
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detection |
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Specifies the alpha value for outlier detection |
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Specifies the method for calculating the critical |
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value for outlier detection based on the alpha value |
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Specifies the number of level-shift outliers to |
||
consider for forming a temporary level-shift |
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Specifies the rate of decay for temporary change outliers |
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Specifies the method of adding outliers at each iteration |
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Specifies the difference in critical values |
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for almost outliers |
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Specifying the Regression Model |
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Specifies regression variables to be |
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selected using an AIC-based test |
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Specifies predefined regression variables |
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Specifies user-defined regression variables |
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Specifies user-defined regression variables |
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Specifies user defined event regression |
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variables |
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Specifies the method used to calculate the |
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means for the Easter regression variable |
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Specifies which types of regression effects |
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are not to be removed before seasonal |
||
adjustment |
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Specifying the ARIMA Model |
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Uses the X-13ARIMA-SEATS TRAMO-based |
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method to choose a model |
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Chooses a regARIMA model |
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from a set that you specify |
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Specifies the ARIMA part of the model |
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Specifying Automatic Model Detection |
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Options |
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Specifies the maximum orders of ARMA |
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polynomials |
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Specifies the maximum orders of differencing |
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Specifies the estimation method for identifying difference orders |
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Specifies the maximum number of iterations for exact likelihood for DIFFID=EXACTFIRST |
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Specifies the fixed orders of differencing |
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Suppresses fitting of a constant parameter |
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Specifies the preference for balanced models |
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Specifies Hannan-Rissanen initial estimation |
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Specifies default model acceptance based on Ljung-Box Q |
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Specifies the acceptance value for Ljung-Box Q |
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Specifies the percentage by which to |
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reduce the outlier critical value |
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Specifies the critical value for ARMA |
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coefficients |
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Model Diagnostics |
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Examines the regARIMA model residuals |
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Specifying Seasonal Adjustment Options |
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Specifies seasonal adjustment |
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Specifies the mode of seasonal adjustment |
||
decomposition |
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Specifies the seasonal filter |
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Specifies the sigma limits |
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Specifies the Henderson trend filter |
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Specifies the D11 calculation method |
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Specifies the adjustment factors to remove |
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from final seasonally adjusted series |
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Specifies a method for reconciling the |
||
seasonally adjusted series to the |
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original series |
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Specifies that SEATS seasonal |
||
decomposition be output to a data set |