SVAR could mean almost anything. (It could mean "answer" in my language!)

Also the standard error could also be anything as long as you have not chosen an estimation method. (Suppose if I chose to use just random numbers and ignore the data. Estimators can be good or bad!) But what about maximum likelihood and the inverse of the information matrix?

But if svar is structural vector autoregression, then I would guess that the parameter estimates are influenced by the structural restrictions you put on the model. However,

maybe this paper can be of help.