dyn_forecast.m: gracefully exit if decision rules and remove unused output argument
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@ -1,7 +1,7 @@
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function [forecast,info] = dyn_forecast(var_list,M,options,oo,task,dataset_info)
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% function dyn_forecast(var_list,M,options,oo,task,dataset_info)
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function forecast = dyn_forecast(var_list,M,options,oo,task,dataset_info)
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% function forecast = dyn_forecast(var_list,M,options,oo,task,dataset_info)
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% computes mean forecast for a given value of the parameters
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% compues also confidence band for the forecast
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% computes also confidence bands for the forecast
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%
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% INPUTS
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% var_list: list of variables (character matrix)
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@ -13,15 +13,21 @@ function [forecast,info] = dyn_forecast(var_list,M,options,oo,task,dataset_info)
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% dataset_info: Various informations about the dataset (descriptive statistics and missing observations).
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% OUTPUTS
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% nothing is returned but the procedure saves output
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% in oo_.forecast.Mean
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% oo_.forecast.HPDinf
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% oo_.forecast.HPDsup
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%
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% forecast: structure containing fields
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% Mean: point estimate
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% HPDinf: lower bound of confidence band, ignoring
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% measurement error
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% HPDsup: upper bound of confidence band, ignoring
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% measurement error
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% HPDinf_ME: lower bound of confidence band, accounting
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% for measurement error
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% HPDsup_ME: upper bound of confidence band, accounting
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% for measurement error
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% Exogenous: path for var_exo_det
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% SPECIAL REQUIREMENTS
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% none
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% Copyright © 2003-2018 Dynare Team
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% Copyright © 2003-2022 Dynare Team
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%
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% This file is part of Dynare.
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%
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@ -38,14 +44,16 @@ function [forecast,info] = dyn_forecast(var_list,M,options,oo,task,dataset_info)
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% You should have received a copy of the GNU General Public License
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% along with Dynare. If not, see <https://www.gnu.org/licenses/>.
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if ~isfield(oo,'dr') || isempty(oo.dr)
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error('dyn_forecast: the decision rules have not been computed. Did you forget a stoch_simul-command?')
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end
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if nargin<6 && options.prefilter
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error('The prefiltering option is not allowed without providing a dataset')
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elseif nargin==6
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mean_varobs=dataset_info.descriptive.mean';
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end
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info = 0;
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oo=make_ex_(M,options,oo);
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maximum_lag = M.maximum_lag;
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@ -205,4 +213,4 @@ end
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if ~options.nograph
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oo.forecast = forecast;
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forecast_graphs(var_list, M, oo, options)
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end
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end
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@ -90,7 +90,7 @@ smoother2histval;
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forecast;
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forecast_smoother2histval=oo_.forecast;
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[forecast_smoother,info] = dyn_forecast(var_list_,M_,options_,oo_,'smoother');
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[forecast_smoother] = dyn_forecast(var_list_,M_,options_,oo_,'smoother');
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if max(abs(struct2array(forecast_estimation.Mean)-struct2array(forecast_smoother2histval.Mean)))>1e-6
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error('Forecasts do not match')
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