RE: Standard errors below 0.1%?

From: Leonid Gibiansky Date: August 03, 2005 technical Source: cognigencorp.com
From: Leonid Gibiansky leonidg@metrumrg.com Subject: RE: [NMusers] Standard errors below 0.1%? Date: Wed, 03 Aug 2005 09:15:38 -0400 I've seen these SE once. To me this is an indication that R or S matrix (or both) have zero or nearly zero eigenvalue(s). Inverse zero is infinity, this infinity "spreads out" over all eigenvalues. The next inverse leads to zeros, and not only in the original "zero-direction" but also in all other eigenvalues. Try MATRIX=S (or MATRIX=R) on the $COV step to see whether this change the result. Try SIGDIGITS=5 (or 5, 6) on the estimation step instead of (or in addition to) changing TOL Log-transformation of DV (that is not directly related to the problem but helpful for stability of the model) solved my problem that time. Leonid _______________________________________________________
Aug 03, 2005 Nele Mueller-Plock Standard errors below 0.1%?
Aug 03, 2005 William Bachman RE: Standard errors below 0.1%?
Aug 03, 2005 Leonid Gibiansky RE: Standard errors below 0.1%?