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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:

_A_i
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.

_AH_i
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 {{\omega}}.

_DELTA_
the estimated mean parameter for the GARCH-M model, if a GARCH-in-mean model is specified

_DEPVAR_
the name of the dependent variable

_GH_i
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.

INTERCEP
the intercept estimate. INTERCEP contains a missing value for models for which the NOINT option is specified.

_METHOD_
the estimation method that is specified in the METHOD= option

_MODEL_
the label of the MODEL statement if one is given, or blank otherwise

_MSE_
the value of the mean square error for the model

_NAME_
the name of the row of covariance matrix for the parameter estimate, if the COVOUT option is specified

_LIKL_
the log likelihood value of the GARCH model

_SSE_
the value of the error sum of squares

_STDERR_
standard error of the parameter estimate, if the COVOUT option is specified

_THETA_
the estimate of the {\theta} parameter in the EGARCH model, if an EGARCH model is specified

_TYPE_
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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