Evaluates joint posterior probability statements for impulse responses

Computes the posterior probability that a set of impulse-response inequalities holds jointly across all selected variables, structural shocks, and horizons.

Usage

joint_hypothesis_irf(object, ...)

# Default S3 method
joint_hypothesis_irf(object, ...)

Arguments

object

A posterior model object or a PosteriorIR object.

...

Additional arguments passed to computation methods.

Value

A bsvar_post_tbl with columns model, object_type, relation, posterior_prob, n_constraints, variable, shock, horizon, rhs_variable, rhs_shock, rhs_horizon, rhs_value, and absolute.

Examples

data(us_fiscal_lsuw, package = "bsvars")
spec <- bsvars::specify_bsvar$new(us_fiscal_lsuw, p = 1)
#> The identification is set to the default option of lower-triangular structural matrix.
post <- bsvars::estimate(spec, S = 5, show_progress = FALSE)

jh <- joint_hypothesis_irf(post, variable = "gdp", shock = "gdp",
                           horizon = 0:2, relation = ">", value = 0)
print(jh)
#> # A tibble: 1 × 23
#>   model object_type relation posterior_prob n_constraints variable shock horizon
#>   <chr> <chr>       <chr>             <dbl>         <int> <chr>    <chr> <chr>  
#> 1 mode… joint_irf   >                     1             3 gdp      gdp   0,1,2  
#> # ℹ 15 more variables: rhs_variable <chr>, rhs_shock <chr>, rhs_horizon <chr>,
#> #   rhs_value <dbl>, absolute <lgl>, analysis_type <chr>,
#> #   interval_probability <dbl>, interval_method <chr>, scale_by <chr>,
#> #   scale_var <chr>, scale_factor <dbl>, units <chr>, source_package <chr>,
#> #   source_version <chr>, n_draws <int>