Matrix Algebra Chapter 10. Matrix Algebra 10.1. More involved procedures can be used in conjunction with the other commands to program new, possibly iterative, estimators, or to obtain complicated marginal effects or covariance matrices for two step estimators. To introduce this extensive set of tools and to illustrate its flexibility, we will present four examples.
Columns then Rows.
Define R and q. Varies by the application. Unrestricted least squares. Restricted least squares. Disturbance variance estimator. Poisson Model with a Fixed Value Restriction Section 9.11.1 shows estimation of a Poisson regression model with one of the coefficients fixed at 1.0.