dynare/matlab/cli/prior.m

141 lines
4.8 KiB
Matlab

function varargout = prior(varargin)
% Computes various prior statistics and display them in the command window.
%
% INPUTS
% 'table', 'moments', 'optimize', 'simulate', 'plot'
%
% OUTPUTS
% none
%
% SPECIAL REQUIREMENTS
% none
% Copyright (C) 2015 Dynare Team
%
% This file is part of Dynare.
%
% Dynare is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% Dynare is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with Dynare. If not, see <http://www.gnu.org/licenses/>.
if isempty(varargin) || ( isequal(length(varargin), 1) && isequal(varargin{1},'help'))
skipline()
disp('Possible options are:')
disp(' + table Prints a table describing the priors.')
disp(' + moments Computes and displays moments of the endogenous variables at the prior mode.')
disp(' + optimize Optimizes the prior density (starting from a random initial guess).')
disp(' + simulate Computes the effective prior mass (using a Monte-Carlo).')
disp(' + plot Plots the marginal prior densities.')
skipline()
return
end
global options_ M_ estim_params_ bayestopt_ oo_ objective_function_penalty_base
donesomething = false;
% Temporarly change qz_criterium option value
changed_qz_criterium_flag = 0;
if isempty(options_.qz_criterium)
options_.qz_criterium = 1+1e-9;
changed_qz_criterium_flag = 1;
end
M_.dname = M_.fname;
% Temporarly set options_.order equal to one
order = options_.order;
options_.order = 1;
[xparam1,estim_params_,bayestopt_,lb,ub,M_] = set_prior(estim_params_,M_,options_);
if ismember('plot', varargin)
plot_priors(bayestopt_,M_,estim_params_,options_)
donesomething = true;
end
if ismember('table', varargin)
print_table_prior(lb, ub, options_, M_, bayestopt_, estim_params_);
donesomething = true;
end
if ismember('simulate', varargin) % Prior simulations (BK).
results = prior_sampler(0,M_,bayestopt_,options_,oo_,estim_params_);
% Display prior mass info
skipline(2)
disp(['Prior mass = ' num2str(results.prior.mass)])
disp(['BK indeterminacy share = ' num2str(results.bk.indeterminacy_share)])
disp(['BK unstability share = ' num2str(results.bk.unstability_share)])
disp(['BK singularity share = ' num2str(results.bk.singularity_share)])
disp(['Complex jacobian share = ' num2str(results.jacobian.problem_share)])
disp(['mjdgges crash share = ' num2str(results.dll.problem_share)])
disp(['Steady state problem share = ' num2str(results.ss.problem_share)])
disp(['Complex steady state share = ' num2str(results.ss.complex_share)])
disp(['Analytical steady state problem share = ' num2str(results.ass.problem_share)])
skipline(2)
donesomething = true;
end
if ismember('optimize', varargin) % Prior optimization.
optimize_prior(options_, M_, oo_, bayestopt_, estim_params_);
donesomething = true;
end
if ismember('moments', varargin) % Prior simulations (2nd order moments).
% Set estimated parameters to the prior mode...
xparam1 = bayestopt_.p5;
% ... Except for uniform priors!
k = find(isnan(xparam1));
xparam1(k) = bayestopt_.p5(k);
% Update vector of parameters and covariance matrices
M_ = set_all_parameters(xparam1,estim_params_,M_);
% Check model.
check_model(M_);
% Compute state space representation of the model.
oo_.dr=set_state_space(oo_.dr, M_, options_);
% Solve model
[dr,info, M_ ,options_ , oo_] = resol(0, M_ , options_ ,oo_);
% Compute and display second order moments
oo_=disp_th_moments(oo_.dr,[],M_,options_,oo_);
skipline(2)
donesomething = true;
end
if changed_qz_criterium_flag
options_.qz_criterium = [];
end
options_.order = order;
if ~donesomething
error('prior: Unexpected arguments!')
end
function format_string = build_format_string(PriorStandardDeviation,LowerBound,UpperBound)
format_string = ['%s & %s & %6.4f &'];
if ~isnumeric(PriorStandardDeviation)
format_string = [ format_string , ' %s &'];
else
format_string = [ format_string , ' %6.4f &'];
end
if ~isnumeric(LowerBound)
format_string = [ format_string , ' %s &'];
else
format_string = [ format_string , ' %6.4f &'];
end
if ~isnumeric(UpperBound)
format_string = [ format_string , ' %s &'];
else
format_string = [ format_string , ' %6.4f &'];
end
format_string = [ format_string , ' %6.4f & %6.4f \\\\ \n'];