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
| Printed Output |
For each MODEL statement, the printed output from PROC PANEL includes the following:
a model description, which gives the estimation method used, the model statement label if specified, the number of cross sections and the number of observations in each cross section, and the order of moving average error process for the DASILVA option. For fixed-effects model analysis, an F test for the absence of fixed effects is produced, and for random-effects model analysis, a Hausman test is used for the appropriateness of the random-effects specification.
the estimates of the underlying error structure parameters
the regression parameter estimates and analysis. For each regressor, this includes the name of the regressor, the degrees of freedom, the parameter estimate, the standard error of the estimate, a t statistic for testing whether the estimate is significantly different from 0, and the significance probability of the t statistic.
Optionally, PROC PANEL prints the following:
the covariance and correlation of the resulting regression parameter estimates for each model and assumed error structure
the
matrix that is the estimated contemporaneous covariance matrix for the PARKS option