dynare/matlab/ols/common_parsing.m

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function [Y, lhssub, X, startdates, enddates, startidxs, residnames, pbeta, vars] = common_parsing(ds, ast, jsonmodel, overlapping_dates)
%function [Y, lhssub, X, startdates, enddates, startidxs, residnames, pbeta, vars] = common_parsing(ds, ast, jsonmodel, overlapping_dates)
%
% Code common to sur.m and pooled_ols.m
%
% INPUTS
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% ds [dseries] dataset
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% ast [cell array] JSON representation of abstract syntax tree
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% jsonmodel [cell array] JSON representation of model block
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% overlapping_dates [boolean] if true, dates are same across
% equations
%
% OUTPUTS
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% Y [cell array] dependent variables
% lhssub [cell array] RHS to subtract from Y
% X [cell array] regressors
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% startdates [cell array] first observed period for each
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% equation
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% enddates [cell array] last observed period for each
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% equation
% startidxs [vector] rows corresponding to each
% equation's observations
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% residnames [cell array] name of residual in each equation
% pbeta [cell array] parameter names corresponding to
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% columns of X
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% vars [cell array] variable names corresponding to
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% parameters
% surpidxs [vector] indexes in M_.params associated with
% columns of X
% surconstrainedparams [vector] indexes of parameters that were
% constrained
%
% SPECIAL REQUIREMENTS
% none
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% Copyright (C) 2019 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/>.
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%% Initialize variables
Y = cell(length(ast), 1);
lhssub = cell(length(ast), 1);
X = cell(length(ast), 1);
startdates = cell(length(ast), 1);
enddates = cell(length(ast), 1);
%% Loop over equations
neqs = length(ast);
for i = 1:neqs
%% Parse equation i
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[Y{i}, lhssub{i}, X{i}] = parse_ols_style_equation(ds, ast{i});
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%% Set start and end dates
if overlapping_dates
[startdates{i}, enddates{i}] = get_ols_start_end_dates(Y{i}, lhssub{i}, X{i}, jsonmodel{i});
end
end
if overlapping_dates
maxfp = max([startdates{:}]);
minlp = min([enddates{:}]);
for i = 1:neqs
Y{i} = Y{i}(maxfp:minlp);
X{i} = X{i}(maxfp:minlp);
if ~isempty(lhssub{i})
lhssub{i} = lhssub{i}(maxfp:minlp);
end
end
end
end