Estimate the historical decomposition for VARs with either 'short' or 'IV-short' structural errors. See VAR and RVAR documentation for details regarding structural errors.

HD(model)

Arguments

model

VAR or RVAR class object

Value

long-from 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::IRF(var)
#> #> Attaching package: ‘purrr’
#> The following object is masked from ‘package:testthat’: #> #> is_null
# forecast error variance decomposition var.fevd = sovereign::FEVD(var) # historical shock decomposition var.hd = sovereign::HD(var) # }