Set default prior_trunc=0

Closes #1953

doc/manual/source/the-model-file.rst

@@ -7112,7 +7112,7 @@ observed variables.
        Probability of extreme values of the prior density in each tail that is
        ignored when computing bounds for the parameters. Default:
-       ``1e-10``.
+       ``1e-10`` for ``posterior_sampling_method=slice`` and ``0`` otherwise .
     .. option:: huge_number = DOUBLE

matlab/+gsa/stability_mapping.m

@@ -92,6 +92,10 @@ xparam1=[];
 [~,~,~,lb,ub] = set_prior(estim_params_,M_,options_); %Prepare bounds
 if ~isempty(bayestopt_) && any(bayestopt_.pshape > 0)
     % Set prior bounds
+    if options_.prior_trunc==0
+        fprintf('\nstability_mapping: GSA with priors requires bounded support. Setting options_.prior_trunc=1e-10.\n')
+        options_.prior_trunc=1e-10;
+    end
     bounds = prior_bounds(bayestopt_, options_.prior_trunc);
     bounds.lb = max(bounds.lb,lb);
     bounds.ub = min(bounds.ub,ub);

matlab/default_option_values.m

@@ -452,7 +452,7 @@ options_.mh_posterior_mode_estimation = false;
 options_.smc_posterior_mode_estimation = false;
 options_.prefilter = 0;
 options_.presample = 0;
-options_.prior_trunc = 1e-10;
+options_.prior_trunc = 0;
 options_.smoother = false;
 options_.smoother_redux = false;
 options_.posterior_max_subsample_draws = 1200;

matlab/estimation/dynare_estimation_init.m

@@ -117,6 +117,14 @@ if isequal(options_.diffuse_filter,1) || (options_.kalman_algo>2)
     end
 end
 
+if strcmp('slice',options_.posterior_sampler_options.posterior_sampling_method)
+    if options_.prior_trunc==0
+        fprintf('\ndynare_estimation_init: slice requires bounded support. Setting options_.prior_trunc=1e-10.\n')
+        options_.prior_trunc=1e-10;
+    end
+end
+
+
 options_=select_qz_criterium_value(options_);
 
 % Set options related to filtered variables.