Estimate forecast error variance decomposition for VARs with either short or 'IV-short' structural errors.

var_fevd(var, horizon = 10, scale = TRUE)

Arguments

var

VAR output

horizon

int: number of periods

scale

boolean: scale variable contribution as percent of total error

Value

long-form data.frame

See also

Examples

# \donttest{ # simple time series AA = c(1:100) + rnorm(100) BB = c(1:100) + rnorm(100) CC = AA + BB + rnorm(100) date = seq.Date(from = as.Date('2000-01-01'), by = 'month', length.out = 100) Data = data.frame(date = date, AA, BB, CC) # estimate VAR var = sovereign::VAR( data = Data, horizon = 10, freq = 'month', lag.ic = 'BIC', lag.max = 4)
#> Warning: NAs introduced by coercion
#> Warning: NAs introduced by coercion
#> Warning: NAs introduced by coercion
#> Warning: NAs introduced by coercion
# impulse response functions var.irf = sovereign::var_irf(var) # forecast error variance decomposition var.fevd = sovereign::var_fevd(var) # historical shock decomposition var.hd = sovereign::var_hd(var) # }