The Statistical Curvature of Seemingly Unrelated Unrestricted Regression Equations. | ||||
| The Egyptian Statistical Journal | ||||
| Article 4, Volume 41, Issue 1, June 1997, Page 43-50 PDF (6.74 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/esju.1997.314636 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Ahmed Hassen A. Youssef* | ||||
| Dep. of Applied Statistics and Econometrics, Institute of Statistical Studies & Research, Cairo University. Egypt | ||||
| Abstract | ||||
| We study the finite sample properties of an asymptotically efficient estimator for coefficients of seemingly unrelated unrestricted regression (SUUR) equations. Zellner (1963) derived the exact probability density function of the SUUR estimator. The new form of the probability density function, the r th moment, the characteristic function and the asymptotic expansion distribution of SUUR equations up to order n-r are derived by Youssef, A. (1996). Youssef. et. al. (1995) studied the statistical curvature for SUUR estimator up to order n-1. In this paper, we study the statistical curvature for SUUR estimator when the asymptotic expansion distribution of SUUR equations is of order n-2, because it is hard to deal with order higher than two, to examine how close the density function of Zellner's estimator is to the normal distribution. | ||||
| Keywords | ||||
| Seemingly Unrelated Unrestricted Regression Equation; Statistical Curvature | ||||
|
Statistics Article View: 73 PDF Download: 8 |
||||
