An in-depth exploration of the Between-Groups Estimator used in panel data analysis, focusing on its calculation, applications, and implications in linear regression models.
Indirect Least Squares is a method for estimating the structural parameters of a single equation in a simultaneous equations model. It involves estimating the parameters of the system in the reduced form using ordinary least squares and solving for the structural parameters in terms of the reduced form parameters.
A comprehensive overview of the within-groups estimator, a crucial technique for estimating parameters in models with panel data, using deviations from group means.
