2932 ✦ Chapter 47: SAS/ETS Model Editor Window Reference End: specifies the ending date for the time series in the data set. Enter a date value in this field, using a form that is recognizable as a SAS date informat (for example, 1998:1, feb1997, or 03mar1998). SAS Code provides the SAS statements for the model. Add button adds a variable row to the table. Delete button removes variable row from the table. OK saves the model template. Cancel closes the window without implementing any changes. Help provides help about this window. Constraints Details Use this window to specify the boundary constraints and linear and nonlinear restrictions for the parameter estimates. To open this window, right-click a SAS library in the SAS libraries panel, and then select New Model Template from the resulting menu, and then select click Constraints in the left pane of the window. Constraints Details ✦ 2933 Figure 47.4 Create New Model Template—Constraints 2934 ✦ Chapter 47: SAS/ETS Model Editor Window Reference Figure 47.4 continued When Constraints is selected on the Details tab, the following controls and fields are displayed: Simple Bounds specifies the boundary constraints. To create a new row, click the Add button . A new entry appears in the Simples Bounds table. To edit the value for an entry, double-click the appropriate row. To delete an entry, select an existing entry and then click the Delete button . Restrictions lists the linear and nonlinear restrictions. To create a new row, click the Add button . A new entry appears in the Restrictions table. To edit the values for an entry, double-click the appropriate cell in the Simple Bounds table. To delete an entry, select an existing entry and then click the Delete button . New Fitted Model Wizard The New Fitted Model wizard provides a step-by-step interface that enables you to create and define the equation statements, variable definitions, parameter definitions, and constraints that can be used to New Fitted Model Wizard ✦ 2935 fit many different market data sets. You can create a fitted model either from scratch or by modifying an existing model template. The following instructions walk you through creating a fitted model from an existing model template. To create a new fitted model from an existing model template, right-click a named model template in the SAS libraries panel, and then select New Fitted Model . The Fitted Model wizard opens. The Fitted Model wizard sequentially asks you to provide the following information: 1. name of your model and the location where it is to be stored. 2. name of an existing input data set. 3. creation or verification of the formula for your model. 4. model parameters and variables. 5. mapping of the variables from the model template to the input data set variables if the fitted model is created using a model template. 6. name of any output data sets desired (optional). 7. configuration of the fit options (such as estimation methods and optimization settings) for the model. After you have provided the preceding information, the new model is fitted against the supplied input data set, and the results and model are stored at the location specified. If the new fitted model is built from a model template, its content is similar to the template content with the following exceptions: the input and output data sets are defined and all of the model program variables are changed based on the variable mapping. After a fitted model is created, subsequent changes that are made to the model template from which it was created have no effect on the fitted model. The lower part of each page in the Fitted Model wizard contains the following controls: Details provides the options for each step. SAS Code provides the SAS statements for the entire model. Back moves the wizard back to the previous page. Next moves the wizard forward to the next page. Finish saves the model and causes the model program to run and generate the statistical results. Cancel closes the wizard unconditionally, and nothing is saved. Help provides help about the wizard. The following sections show the step-by-step process of the Fitted New Model wizards. 2936 ✦ Chapter 47: SAS/ETS Model Editor Window Reference Name Your Model Page The initial page of the wizard is the Name Your Model page. This page informs you that you are creating a fitted model from a model template. You can change the name of the model. You must specify the library and data set where your model is to reside. The name must be unique within the library and data set. CAUTION: If you do not change the name or library, the original model template is overwritten. Figure 47.5 Model Fitting Wizard This page has the following controls and fields: Name: is the name the current new model. Description: is the description of the model. Library: is the SAS library where the model is to be stored. Data Set: is the SAS data set where the model and fitted results are to be stored. Select the Data Set to Fit Page The Select the Data Set to fit page asks you to specify the name and location of an input data set. You can also view time series of any selected variables. Select the Data Set to Fit Page ✦ 2937 Figure 47.6 Model Fitting Wizard This page has the following controls and fields: Library Name: is the library where the input data set is located. Data Set Name: is the input data set against which you want the model fitted. Browse opens the data set selection window for selecting an input data set. After you specify the input data set, the variable names in the data set are listed in the Selected Variables to View Time Series table. Check Data Time Series is the list of variables, ID, frequency, and time series property of the input data set. Select Variables to View Time Series lists the name and label for each variable in the data set. ID: specifies a single variable to identify observations in error messages, in other listings, or in the output data set. The ID variables are usually SAS date or datetime variables. You can type any valid SAS variable name in this field or select from the list. Frequency: is the time interval (data frequency) for the input data set. Specify opens the Specify Frequency window. See the section “Specify Frequency Window” on page 2938 for more information. View Time Series opens a window that displays a time series plot and of the table of observations for the selected 2938 ✦ Chapter 47: SAS/ETS Model Editor Window Reference variables series. See the section “View Time Series of the Data Window” on page 2939 for more information. Specify Frequency Window When you click Specify in the Select the data set to fit page, the Specify Frequency dialog box opens. This dialog box enables you to specify the name of the time variables. This dialog box is equivalent to the INTERVAL= option in the ID statement in PROC MODEL. See Chapter 18, “The MODEL Procedure” (SAS/ETS User’s Guide), for more information about PROC MODEL statements and options. Figure 47.7 Specify Frequency Window This dialog box has the following controls and fields: Type: specifies the type of the date values. For example, Day specifies date values that correspond to single day periods. Hour specifies datetime values that correspond to single hour periods. Multiplier: specifies a multiplier for date values. The value 1 selects date values that correspond to periods of one of the periods specified by the Type value. The value 2 selects date values that correspond to periods that are twice the duration specified by the Type value. Shift: specifies the date values shift. The value 1 selects date values that correspond to periods of one Select the Data Set to Fit Page ✦ 2939 date value beginning on the first date value. The value 2 selects date values that correspond to periods of one date value beginning on the second date value. Weekend: specifies days to be considered as weekends. Date values include time of day controls whether the date values include time of day. When this check box is selected, date values include the time of day. OK closes the window and returns to the Select the dataset to fit page. Cancel closes the window without implementing any changes and returns to the Select the dataset to fit page. View Time Series of the Data Window Figure 47.8 View Time Series of the Data 2940 ✦ Chapter 47: SAS/ETS Model Editor Window Reference Figure 47.8 continued This window has the following controls and fields: Graphing Options opens a window that enables you to change graphing options. Series Values displays a plot of the time series of the selected variables. Observation displays a table of all the observations of the data set. OK closes the View Time Series window. Assign Variables Page This page enables you to assign variables from the input data set to different categories such as endogenous variables, exogenous variables, and instruments variables. Assign Variables Page ✦ 2941 Figure 47.9 Model Fitting Wizard This page has the following controls and fields: Select Variables to Assign table lists the variable names and labels of the input data set. Endogenous Variables: table lists the endogenous (dependent) variables of the model. An endogenous variable is a variable that is determined within the model. Endogenous variables can appear on the right and left sides of model equations, but usually only on one side for each equation. Exogenous Variables: table lists the exogenous (independent) variables of this model. An exogenous variable is a variable that is determined outside of the model. Exogenous variables appear on the right side of model equations, and by default exogenous variables are used as instruments for estimation methods that require instrumental variables (for example, 2SLS, IT2SLS, 3SLS, IT3SLS, GMM, and ITGMM). Instruments: table lists the model instrumental variables. Instrumental variables are used in estimation methods that require instrumental variables (for example, 2SLS, IT2SLS, 3SLS, IT3SLS, GMM, and ITGMM). Instrumental variable estimation methods are appropriate when a model contains a right-side regressor variable that is correlated with the error term. In 2SLS and 3SLS, a first-stage regression is performed to create a linear combination of instruments to replace the regressor that is correlated with the error term. Appropriate instrumental variables are correlated with the regressor they are replacing, but they are uncorrelated with the error term. They should not depend on the endogenous variables. Right Arrow button enables you to move highlighted variables into the table to the right of the button. Delete button enables you to delete highlighted variables from the table to the left of the button. . this field, using a form that is recognizable as a SAS date informat (for example, 199 8:1, feb 199 7, or 03mar 199 8). SAS Code provides the SAS statements for the model. Add button adds a variable. click Constraints in the left pane of the window. Constraints Details ✦ 293 3 Figure 47.4 Create New Model Template—Constraints 293 4 ✦ Chapter 47: SAS/ETS Model Editor Window Reference Figure 47.4 continued When. Window” on page 293 8 for more information. View Time Series opens a window that displays a time series plot and of the table of observations for the selected 293 8 ✦ Chapter 47: SAS/ETS Model Editor