In the normal linear simultaneous equations model, we demonstrate a close relationship between two recently proposed methods of instrument selection by presenting a fundamental relationship between the two sets of canonical correlations upon which the methods are based.

We assess relative performance of three recently proposed instrument selection methods via a Monte Carlo study that investigates the finite sample behavior of the post-selection estimator of a simple linear IV model. Our results suggest that no one method dominates.

This dissertation relates to three recent methods of instrument selection in econometrics, namely, the Canonical Correlations Information Criterion (CCIC), the Relevant Moments Selection Criterion (RMSC) and the approximate Mean Square Error Criterion (MSE). Usual canonical correlations measure...

This dissertation consists of three essays, first two of which consider a new estimation method of dynamic panel data models and the last one considers an application of these models. The first essay (Chapter 1) offers empirical likelihood (EL) estimation of dynamic panel data models, which...