VAR.irf: Orthogonalized impluse response functions from an estimated...

In VAR.etp: VAR Modelling: Estimation, Testing, and Prediction

Orthogonalized impluse response functions from an estimated VAR(p) model

Description

This function returns Orthogonalized impluse response functions

Usage

VAR.irf(b, p, sigu, h=10,graphs=FALSE)

Arguments

b	VAR coefficient matrix, from VAR.est or similar estimation function
p	VAR order
sigu	VAR residual covariance matrix, from VAR.est or similar estimation function
h	response horizon, the default is set to 10
graphs	logical, if TRUE, show the impulse-response functions, the default is FALSE

Details

VAR impulse response functions

Value

impmat

matrix that contains orthogonalized impulse-responses

Note

See Lutkepohl (2005) for details

Author(s)

Jae H. Kim

References

Lutkepohl, H. 2005, New Introduction to Multiple Time Series Analysis, Springer

Examples

#replicating Table 3.4 and Figure 3.11 Lutkepohl (2005)
data(dat)
M=VAR.est(dat,p=2,type="const")
b=M$coef; sigu=M$sigu
VAR.irf(b,p=2,sigu,graphs=TRUE)

VAR.etp documentation built on Aug. 31, 2023, 9:08 a.m.