Chapter Contents
Chapter Contents		 Previous
Previous		 Next
Next
The MODEL Procedure

Estimation Details

Estimation Methods

Minimization Methods

Convergence Criteria

Troubleshooting Convergence Problems

Iteration History

Computer Resource Requirements

Testing for Normality

Heteroscedasticity

Transformation of Error Terms

Error Covariance Structure Specification

Ordinary Differential Equations

Restrictions and Bounds on Parameters

Tests on Parameters

Hausman Specification Test

Chow Tests

Profile Likelihood Confidence Intervals

Choice of Instruments

Autoregressive Moving Average Error Processes

Distributed Lag Models and the %PDL Macro

Input Data Sets

Output Data Sets

ODS Table Names

Chapter Contents
Chapter Contents		 Previous
Previous		 Next
Next		 Top
Top

Copyright © 1999 by SAS Institute Inc., Cary, NC, USA. All rights reserved.