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
- Raman spectroscopic signature of vaginal fluid and its potential application in forensic body fluid identification
- Media Contact and Posttraumatic Stress in Employees of New York City Area Businesses after the September 11 Attacks
- Student Violence Against Teachers in Large U.S. School Districts: Prevalence and Risk Factors, Final Report