136 lines
3.8 KiB
Matlab
136 lines
3.8 KiB
Matlab
function initvalf(fname)
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% function initvalf(fname,varargin)
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% reads an initial path from the 'fname' file for exogenous and endogenous variables
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%
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% INPUTS
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% fname: name of the function
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% // period: period
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% // varargin: list of arguments following period
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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) 2003-2007 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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global M_ oo_ options_
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global y_start_date ex_start_date
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series = 1;
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if exist(fname) == 2
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eval(fname);
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elseif exist([fname '.xls']) == 2
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[data,names_v]=xlsread([fname '.xls']);
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series = 0;
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elseif exist([fname '.mat']) == 2
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load(fname);
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end
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% $$$ if length(period) == 2
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% $$$ period = dy_date(period(1),period(2));
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% $$$ end
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% $$$
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% $$$ if period - max(M_.maximum_lag,M_.maximum_lag) < 0
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% $$$ error(['INITVALF_: not enough data points in database for number of' ...
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% $$$ ' lags. Start later!'])
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% $$$ end
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% $$$
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% $$$ if nargin > 2
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% $$$ if strcmp(upper(varargin{1}),'SERIES')
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% $$$ series = 1 ;
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% $$$ elseif strcmp(upper(varargin{1}),'MAT')
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% $$$ series = 0 ;
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% $$$ else
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% $$$ error(['INITVALF: unknown option ' varargin{1}])
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% $$$ end
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% $$$ else
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% $$$ series = 0 ;
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% $$$ end
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% $$$
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% $$$ y1 = floor((period-M_.maximum_lag)/M_.freq);
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% $$$ p1 = period-M_.maximum_lag-M_.freq*y1;
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% $$$ y_start_date(2) = M_.start_date(2) + p1-1;
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% $$$ if y_start_date(2) > M_.freq
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% $$$ y_start_date(2) = y_start_date(2) - M_.freq;
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% $$$ y1 = y1 + 1;
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% $$$ end
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% $$$ y_start_date(1) = M_.start_date(1)+y1;
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% $$$
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% $$$ y1 = floor((period-M_.maximum_lag)/M_.freq);
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% $$$ p1 = period-M_.maximum_lag-M_.freq*y1;
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% $$$ ex_start_date(2) = M_.start_date(2) + p1-1;
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% $$$ if y_start_date(2) > M_.freq
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% $$$ ex_start_date(2) = ex_start_date(2) - M_.freq;
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% $$$ y1 = y1 + 1;
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% $$$ end
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% $$$ ex_start_date(1) = M_.start_date(1)+y1;
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% $$$
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% $$$ clear y1, p1;
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options_.initval_file = 1;
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oo_.endo_simul = [];
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oo_.exo_simul = [];
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for i=1:size(M_.endo_names,1)
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if series == 1
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% x = eval([M_.endo_names(i,:) '(period-M_.maximum_lag:period+options_.periods+M_.maximum_lead-1);']);
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x = eval(M_.endo_names(i,:));
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oo_.endo_simul = [oo_.endo_simul; x'];
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else
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k = strmatch(upper(M_.endo_names(i,:)),names_v,'exact');
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if isempty(k)
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error(['INITVALF: ' M_.endo_names(i,:) ' not found'])
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end
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x = data(:,k);
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% oo_.endo_simul = [oo_.endo_simul; x(period-M_.maximum_lag:period+options_.periods+M_.maximum_lead-1)'];
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oo_.endo_simul = [oo_.endo_simul; x'];
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end
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end
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for i=1:size(M_.exo_names,1)
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if series == 1
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% x = eval([M_.exo_names(i,:) '(period-M_.maximum_lag:period+options_.periods+M_.maximum_lead-1);']);
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x = eval(M_.exo_names(i,:) );
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oo_.exo_simul = [oo_.exo_simul x];
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else
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k = strmatch(upper(M_.exo_names(i,:)),names_v,'exact');
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if isempty(k)
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error(['INITVALF: ' M_.exo_names(i,:) ' not found'])
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end
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x = data(:,k);
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% oo_.exo_simul = [oo_.exo_simul x(period-M_.maximum_lag:period+options_.periods+M_.maximum_lead-1)];
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oo_.exo_simul = [oo_.exo_simul x];
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end
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end
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