99 lines
4.4 KiB
Matlab
99 lines
4.4 KiB
Matlab
function DynareResults = initial_estimation_checks(xparam1,DynareDataset,Model,EstimatedParameters,DynareOptions,BayesInfo,DynareResults)
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% function initial_estimation_checks(xparam1,gend,data,data_index,number_of_observations,no_more_missing_observations)
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% Checks data (complex values, ML evaluation, initial values, BK conditions,..)
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%
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% INPUTS
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% xparam1: vector of parameters to be estimated
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% gend: scalar specifying the number of observations
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% data: matrix of data
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%
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% OUTPUTS
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% none
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%
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% SPECIAL REQUIREMENTS
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% none
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% Copyright (C) 2003-2011 Dynare Team
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%
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% This file is part of Dynare.
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%
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% Dynare is free software: you can redistribute it and/or modify
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% it under the terms of the GNU General Public License as published by
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% the Free Software Foundation, either version 3 of the License, or
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% (at your option) any later version.
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%
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% Dynare is distributed in the hope that it will be useful,
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% but WITHOUT ANY WARRANTY; without even the implied warranty of
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% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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% GNU General Public License for more details.
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%
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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 <http://www.gnu.org/licenses/>.
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if DynareDataset.info.nvobs>Model.exo_nbr+EstimatedParameters.nvn
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error(['initial_estimation_checks:: Estimation can''t take place because there are less shocks than observed variables!'])
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end
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if DynareOptions.dsge_var
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[fval,cost_flag,info] = DsgeVarLikelihood(xparam1,DynareDataset,DynareOptions,Model,EstimatedParameters,BayesInfo,DynareResults);
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else
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[fval,cost_flag,ys,trend_coeff,info] = DsgeLikelihood(xparam1,DynareDataset,DynareOptions,Model,EstimatedParameters,BayesInfo,DynareResults);
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end
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% when their is an analytical steadystate, check that the values
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% returned by *_steadystate match with the static model
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if DynareOptions.steadystate_flag
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[ys,check] = feval([Model.fname '_steadystate'],...
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DynareResults.steady_state,...
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[DynareResults.exo_steady_state; ...
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DynareResults.exo_det_steady_state]);
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if size(ys,1) < Model.endo_nbr
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if length(Model.aux_vars) > 0
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ys = add_auxiliary_variables_to_steadystate(ys,Model.aux_vars,...
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Model.fname,...
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DynareResults.exo_steady_state,...
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DynareResults.exo_det_steady_state,...
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Model.params,...
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DynareOptions.bytecode);
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else
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error([Model.fname '_steadystate.m doesn''t match the model']);
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end
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end
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DynareResults.steady_state = ys;
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% Check if the steady state obtained from the _steadystate file is a
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% steady state.
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check1 = 0;
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if isfield(DynareOptions,'unit_root_vars') && DynareOptions.diffuse_filter == 0
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if isempty(DynareOptions.unit_root_vars)
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if ~DynareOptions.bytecode
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check1 = max(abs(feval([Model.fname '_static'],...
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DynareResults.steady_state,...
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[DynareResults.exo_steady_state; ...
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DynareResults.exo_det_steady_state], Model.params))) > DynareOptions.dynatol ;
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else
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[info, res] = bytecode('static','evaluate',DynareResults.steady_state,...
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[DynareResults.exo_steady_state; ...
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DynareResults.exo_det_steady_state], Model.params);
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check1 = max(abs(res)) > DynareOptions.dynatol;
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end
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if check1
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error(['The seadystate values returned by ' Model.fname ...
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'_steadystate.m don''t solve the static model!' ])
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end
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end
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end
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end
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if info(1) > 0
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disp('Error in computing likelihood for initial parameter values')
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print_info(info, DynareOptions.noprint)
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end
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if any(abs(DynareResults.steady_state(BayesInfo.mfys))>1e-9) && (DynareOptions.prefilter==1)
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disp(['You are trying to estimate a model with a non zero steady state for the observed endogenous'])
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disp(['variables using demeaned data!'])
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error('You should change something in your mod file...')
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end
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disp(['Initial value of the log posterior (or likelihood): ' num2str(-fval)]);
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