This estimator was generalized by Lee to account for a nonscalar covariance matrix and yielded the LMT-G2SLS estimator. Lee demonstrated that in a simultaneous-equation Tobit model the LMT-G2SLS estimator is more efficient than the Amemiya GLS estimator. However, Amemiya's GLS estimator is merely a member of the class of Amemiya GLS estimators containing members which beat the LMT-G2SLS, as well as one which is asymptotically equivalent to the LMT-G2SLS. Equations, notes, and six references are supplied.
Downloads
Similar Publications
- Linking Community-Based Initiatives and Community Justice: The Office of Justice Programs
- Evaluating a Multi-Disciplinary Response to Domestic Violence: The DVERT Program in Colorado Springs
- Coping Patterns over Time and the Association with Stress, Depression and Self-Efficacy Among Adolescents: Latent Transition Analysis