The PANEL Procedure |

The OUTEST= Data Set |

PROC PANEL writes the parameter estimates to an output data set when the OUTEST= option is specified. The OUTEST= data set contains the following variables:

- _MODEL_
is a character variable that contains the label for the MODEL statement if a label is specified.

- _METHOD_
is a character variable that identifies the estimation method. Current methods are FULLER, PARKS, and DASILVA.

- _TYPE_
is a character variable that identifies the type of observation. Values of the _TYPE_ variable are CORRB, COVB, CSPARMS, and PARMS; the CORRB observation contains correlations of the parameter estimates; the COVB observation contains covariances of the parameter estimates; the CSPARMS observation contains cross-sectional parameter estimates; and the PARMS observation contains parameter estimates.

- _NAME_
is a character variable that contains the name of a regressor variable for COVB and CORRB observations and is left blank for other observations. The _NAME_ variable is used in conjunction with the _TYPE_ values COVB and CORRB to identify rows of the correlation or covariance matrix.

- _DEPVAR_
is a character variable that contains the name of the response variable.

- _MSE_
is the mean square error of the transformed model.

- _CSID_
is the value of the cross section ID for CSPARMS observations. The _CSID_ variable is used with the _TYPE_ value CSPARMS to identify the cross section for the first-order autoregressive parameter estimate contained in the observation. The _CSID_ variable is missing for observations with other _TYPE_ values. (Currently, only the _A_1 variable contains values for CSPARMS observations.)

- _VARCS_
is the variance component estimate due to cross sections. The _VARCS_ variable is included in the OUTEST= data set when either the FULLER or DASILVA option is specified.

- _VARTS_
is the variance component estimate due to time series. The _VARTS_ variable is included in the OUTEST= data set when either the FULLER or DASILVA option is specified.

- _VARERR_
is the variance component estimate due to error. The _VARERR_ variable is included in the OUTEST= data set when the FULLER option is specified.

- _A_1
is the first-order autoregressive parameter estimate. The _A_1 variable is included in the OUTEST= data set when the PARKS option is specified. The values of _A_1 are cross-sectional parameters, meaning that they are estimated for each cross section separately. The _A_1 variable has a value only for _TYPE_=CSPARMS observations. The cross section to which the estimate belongs is indicated by the _CSID_ variable.

- INTERCEP
is the intercept parameter estimate. (INTERCEP is missing for models when the NOINT option is specified.)

- regressors
are the regressor variables specified in the MODEL statement. The regressor variables in the OUTEST= data set contain the corresponding parameter estimates for the model identified by _MODEL_ for _TYPE_=PARMS observations, and the corresponding covariance or correlation matrix elements for _TYPE_=COVB and _TYPE_=CORRB observations. The response variable contains the value–1 for the _TYPE_=PARMS observation for its model.

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