compute_conditional_sd.PosteriorBSVARMSH function

Computes posterior draws of structural shock conditional standard deviations

Each of the draws from the posterior estimation of models is transformed into a draw from the posterior distribution of the structural shock conditional standard deviations.

## S3 method for class 'PosteriorBSVARMSH'
compute_conditional_sd(posterior)

Arguments

• posterior: posterior estimation outcome - an object of class PosteriorBSVARMSH obtained by running the estimate function.

Returns

An object of class PosteriorSigma, that is, an NxTxS

array with attribute PosteriorSigma containing S draws of the structural shock conditional standard deviations.

Examples

# upload data
data(us_fiscal_lsuw)

# specify the model and set seed
set.seed(123)
specification  = specify_bsvar_msh$new(us_fiscal_lsuw, p = 1, M = 2)

# run the burn-in
burn_in        = estimate(specification, 10)

# estimate the model
posterior      = estimate(burn_in, 20)

# compute structural shocks' conditional standard deviations
csd     = compute_conditional_sd(posterior)

# workflow with the pipe |>
############################################################
set.seed(123)
us_fiscal_lsuw |>
  specify_bsvar_msh$new(p = 1, M = 2) |>
  estimate(S = 10) |> 
  estimate(S = 20) |> 
  compute_conditional_sd() -> csd

See Also

estimate, normalise_posterior, summary

Author(s)

Tomasz Woźniak wozniak.tom@pm.me