Thanks to Dennis Murphy I was able to improve mein R-Code: 1) A-Matrix:
A_Matrix <- diag(4) # 4 restrictions A_Matrix[upper.tri(A_Matrix)] <- NA # 6 further restrictions 2) Variance-Covariance-Matrix Xmat <- cbind(X1, X2, X3, X4) vs <- apply(Xmat, 2, var) VC_Matrix<- diag(vs) # final 6 restricions That worked fine so far. Now, is there any chance to implement the VC_Matrix it into my SVAR-estimation? -- View this message in context: http://r.789695.n4.nabble.com/vars-SVAR-A-Model-Restrictions-on-Matrix-A-and-Variance-Covariance-Matrix-tp4692387p4692424.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.