View source: R/estimation_tools.R
chol_ident | R Documentation |
chol_ident
carries out the recursive identification using the Cholesky decomposition
of the (q x q)
innovation covariance matrix. The resulting IRF has then
a structural interpretation depending on the ordering of the variables. The user
must specify whether the estimation method of the DFM is the S-DFM (DfmRawImp
)
or D-DFM (estim_wrap
).
chol_ident(est_obj, int_vars, est_type = c("rmfd", "fglr"))
est_obj |
|
int_vars |
vector denoting the variables of interest and the respective ordering |
est_type |
specify the DFM estimation method |
An IRF array of the same size as the raw IRF used as an input
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