The AUTOREG Procedure |
OUTEST= Data Set |
The OUTEST= data set contains all the variables used in any MODEL statement. Each regressor variable contains the estimate for the corresponding regression parameter in the corresponding model. In addition, the OUTEST= data set contains the following variables:
the ith order autoregressive parameter estimate. There are m such variables _A_1 through _A_m, where m is the value of the NLAG= option.
the ith order ARCH parameter estimate, if the GARCH= option is specified. There are q such variables _AH_1 through _AH_q, where q is the value of the Q= option. The variable _AH_0 contains the estimate of .
the estimated mean parameter for the GARCH-M model, if a GARCH-in-mean model is specified
the name of the dependent variable
the ith order GARCH parameter estimate, if the GARCH= option is specified. There are p such variables _GH_1 through _GH_p, where p is the value of the P= option.
the intercept estimate. INTERCEP contains a missing value for models for which the NOINT option is specified.
the estimation method that is specified in the METHOD= option
the label of the MODEL statement if one is given, or blank otherwise
the value of the mean square error for the model
the name of the row of covariance matrix for the parameter estimate, if the COVOUT option is specified
the log-likelihood value of the GARCH model
the value of the error sum of squares
This variable indicates the optimization status. _STATUS indicates that there were no errors during the optimization and the algorithm converged. _STATUS indicates that the optimization could not improve the function value and means that the results should be interpreted with caution. _STATUS indicates that the optimization failed due to the number of iterations exceeding either the maximum default or the specified number of iterations or the number of function calls allowed. _STATUS indicates that an error occurred during the optimization process. For example, this error message is obtained when a function or its derivatives cannot be calculated at the initial values or during the iteration process, when an optimization step is outside of the feasible region or when active constraints are linearly dependent.
standard error of the parameter estimate, if the COVOUT option is specified
the estimate of the parameter in the EGARCH model, if an EGARCH model is specified
OLS for observations containing parameter estimates, or COV for observations containing covariance matrix elements.
The OUTEST= data set contains one observation for each MODEL statement giving the parameter estimates for that model. If the COVOUT option is specified, the OUTEST= data set includes additional observations for each MODEL statement giving the rows of the covariance of parameter estimates matrix. For covariance observations, the value of the _TYPE_ variable is COV, and the _NAME_ variable identifies the parameter associated with that row of the covariance matrix.
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