summary.SDDRidMIX function

Provides summary of verifying shocks' normality

Provides summary of verifying shocks' normality

Provides summary of the Savage-Dickey density ratios for verification of structural shocks normality. The outcomes can be used to make probabilistic statements about identification through non-normality.

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

Arguments

  • object: an object of class SDDRidMIX obtained using the verify_identification.PosteriorBSVARMIX function.
  • ...: additional arguments affecting the summary produced.

Returns

A table reporting the logarithm of Bayes factors of normal to non-normal shocks posterior odds "log(SDDR)" for each structural shock, their numerical standard errors "NSE", and the implied posterior probability of the normality and non-normality hypothesis, "Pr[normal|data]" and "Pr[non-normal|data]"

respectively.

Examples

# upload data data(us_fiscal_lsuw) # specify the model and set seed specification = specify_bsvar_mix$new(us_fiscal_lsuw, M = 2) set.seed(123) # estimate the model posterior = estimate(specification, 10) # verify heteroskedasticity sddr = verify_identification(posterior) summary(sddr) # workflow with the pipe |> ############################################################ set.seed(123) us_fiscal_lsuw |> specify_bsvar_mix$new(M = 2) |> estimate(S = 10) |> verify_identification() |> summary() -> sddr_summary

See Also

verify_identification.PosteriorBSVARMIX

Author(s)

Tomasz Woźniak wozniak.tom@pm.me

  • Maintainer: Tomasz Woźniak
  • License: GPL (>= 3)
  • Last published: 2024-10-24