The PANEL Procedure
- Overview
-
Getting Started
-
Syntax
-
Details
Missing Values Computational Resources Restricted Estimates Notation The One-Way Fixed-Effects Model The Two-Way Fixed-Effects Model Balanced Panels Unbalanced Panels Between Estimators Pooled Estimator The One-Way Random-Effects Model The Two-Way Random-Effects Model Parks Method (Autoregressive Model) Da Silva Method (Variance-Component Moving Average Model) Dynamic Panel Estimator Linear Hypothesis Testing Heteroscedasticity-Corrected Covariance Matrices R Square Specification Tests Troubleshooting ODS Graphics The OUTPUT OUT= Data Set The OUTEST= Data Set The OUTTRANS= Data Set Printed Output ODS Table Names
-
Examples
- References
| The OUTPUT OUT= Data Set |
PROC PANEL writes the initial data of the estimated model, predicted values, and residuals to an output data set when the OUTPUT OUT= statement is specified. The OUT= data set contains the following variables:
- _MODELL_
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.
- _MODLNO_
is the number of the model estimated.
- _ACTUAL_
contains the value of the dependent variable.
- _WEIGHT_
contains the weighing variable.
- _CSID_
is the value of the cross section ID.
- _TSID_
is the value of the time period in the dynamic model.
- regressors
are the values of regressor variables specified in the MODEL statement.
- name
if PRED= name1 and/or RESIDUAL= name2 options are specified, then name1 and name2 are the columns of predicted values of dependent variable and residuals of the regression, respectively.