Computes the forecast error variance decomposition of a PVAR(p) model.
fevd_orthogonal(model, n.ahead =10)## S3 method for class 'pvargmm'fevd_orthogonal(model, n.ahead =10)## S3 method for class 'pvarfeols'fevd_orthogonal(model, n.ahead =10)
Arguments
model: A PVAR model
n.ahead: Number of steps
Returns
A list with forecast error variances as matrices for each variable.
Details
The estimation is based on orthogonalised impulse response functions.
Note
A plot method will be provided in future versions.
Pfaff, B. (2008) VAR, SVAR and SVEC Models: Implementation Within R Package vars, Journal of Statistical Software 27 (4) https://www.jstatsoft.org/v27/i04/