summary.PosteriorSigma {bsvars}

Provides posterior summary of structural shocks' conditional standard deviations

Description

Provides posterior summary of structural shocks' conditional standard deviations including their mean, standard deviations, as well as 5 and 95 percentiles.

Usage

## S3 method for class 'PosteriorSigma'
summary(object, ...)

Arguments

object

an object of class PosteriorSigma obtained using the compute_conditional_sd() function containing posterior draws of conditional standard deviations of structural shocks.

...

additional arguments affecting the summary produced.

Value

A list reporting the posterior mean, standard deviations, as well as 5 and 95 percentiles of the structural shocks' conditional standard deviations for each of the shocks and periods.

Author(s)

Tomasz Woźniak [e-mail]

See Also

compute_conditional_sd

Examples

# upload data
data(us_fiscal_lsuw)

# specify the model and set seed
set.seed(123)
specification  = specify_bsvar_sv$new(us_fiscal_lsuw)

# run the burn-in
burn_in        = estimate(specification, 5)

# estimate the model
posterior      = estimate(burn_in, 5)

# compute structural shocks' conditional standard deviations
sigma          = compute_conditional_sd(posterior)
sigma_summary  = summary(sigma)

# workflow with the pipe |>
############################################################
set.seed(123)
us_fiscal_lsuw |>
  specify_bsvar_sv$new() |>
  estimate(S = 5) |> 
  estimate(S = 5) |> 
  compute_conditional_sd() |>
  summary() -> sigma_summary