Each of the draws from the posterior estimation of a model is transformed into a draw from the posterior distribution of the regime probabilities. These represent either the realisations of the regime indicators, when type = "realized", filtered probabilities, when type = "filtered", forecasted regime probabilities, when type = "forecasted", or the smoothed probabilities, when type = "smoothed", .
compute_regime_probabilities( posterior, type = c("realized","filtered","forecasted","smoothed"))
Arguments
posterior: posterior estimation outcome of regime-dependent heteroskedastic models - an object of either of the classes: PosteriorBSVARMSH, or PosteriorBSVARMIX obtained by running the estimate function.
type: one of the values "realized", "filtered", "forecasted", or "smoothed"
denoting the type of probabilities to be computed.
Returns
An object of class PosteriorRegimePr, that is, an MxTxS array with attribute PosteriorRegimePr containing S draws of the regime probabilities.
Examples
# upload datadata(us_fiscal_lsuw)# specify the model and set seedset.seed(123)specification = specify_bsvar_msh$new(us_fiscal_lsuw, p =2, M =2)# run the burn-inburn_in = estimate(specification,10)# estimate the modelposterior = estimate(burn_in,20)# compute the posterior draws of realized regime indicatorsregimes = compute_regime_probabilities(posterior)# compute the posterior draws of filtered probabilitiesfiltered = compute_regime_probabilities(posterior,"filtered")# workflow with the pipe |>############################################################set.seed(123)us_fiscal_lsuw |> specify_bsvar_msh$new(p =1, M =2)|> estimate(S =10)|> estimate(S =20)-> posterior
regimes = compute_regime_probabilities(posterior)filtered = compute_regime_probabilities(posterior,"filtered")
References
Song, Y., and Woźniak, T., (2021) Markov Switching. Oxford Research Encyclopedia of Economics and Finance, Oxford University Press, tools:::Rd_expr_doi("10.1093/acrefore/9780190625979.013.174") .