1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
|
function search(variablename, option)
% Prints equations where the variable appears in.
%
% INPUTS
% - variablename [string] Name of the variable to be traced.
% - option [string] if equal to 'withparamvalues' reports the values of the parameters, otherwise throws an error.
%
% OUTPUTS
% None
% Copyright © 2019-2023 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 <https://www.gnu.org/licenses/>.
global M_
withexpansion = true;
if ~nargin
error('Provide endogenous variable name as first input argument.');
end
jname = sprintf('%s%smodel%sjson%smodfile-original.json', M_.fname, filesep, filesep, filesep);
% Check if corresponding JSON file exists.
if exist(jname, 'file') ~= 2
error('Please use the json option (See the Dynare invocation section in the reference manual).');
end
% Check that the first input is a character array.
if ~ischar(variablename)
error('First input argument must be a string.');
end
% Check that the variable is actually a variable in the model.
if ~ismember(variablename, [M_.exo_names; M_.endo_names])
error('There is no variable named %s!', variablename);
end
withparamvalues = false; % By default the values of the parameters are not printed
if nargin==2
if ischar(option)
if strcmp(option, 'withparamvalues')
withparamvalues = true;
else
error('Unknown option %s.', option)
end
else
error('Second input argument must be a row character array.')
end
end
if nargin>2
error('Too many input arguments.')
end
% Load the JSON file.
jsonfile = loadjson_(jname);
model = jsonfile.model;
% Print the equations the variable appears in.
for it = 1:length(M_.mapping.(variablename).eqidx)
if M_.mapping.(variablename).eqidx(it)>length(model)
% Equations appended by the preprocessor for auxiliary variables are not displayed, except if it is an aux variable
% for the PAC expectation.
% TODO Probably should do the same for VAR expectation.
if isfield(M_, 'lhs') && length(M_.lhs{M_.mapping.(variablename).eqidx(it)})>15 && isequal(M_.lhs{M_.mapping.(variablename).eqidx(it)}(1:16), 'pac_expectation_')
id = M_.mapping.(M_.lhs{M_.mapping.(variablename).eqidx(it)}).eqidx(1);
else
continue
end
else
id = M_.mapping.(variablename).eqidx(it);
end
rhs = model{id}.rhs;
if withexpansion
if isfield(M_, 'pac') && contains(rhs, 'pac_expectation')
% Get the index of the equation's PAC model.
models = fieldnames(M_.pac);
idx = find(~cellfun('isempty',cellfun(@(s)find(contains(rhs,s)),models,'uni',0)));
% Get the expanded PAC_EXPECTATION term.
[pac_expression, growthneutralitycorrection] = write_expectations(models{idx}, 'pac', true);
expression = [sprintf('\n\t + %s', growthneutralitycorrection) TransformExpandedExpr(pac_expression)];
rhs = strrep(rhs, ['+pac_expectation(model_name = ' models{idx} ')'], expression);
elseif isfield(M_, 'var_expectation') && contains(rhs, 'var_expectation')
% Get the index of the equation's VAR model.
models = fieldnames(M_.var_expectation);
idx = find(~cellfun('isempty',cellfun(@(s)find(contains(rhs,s)),models,'uni',0)));
% Get the expanded VAR_EXPECTATION term.
expression = write_expectations(models{idx}, 'var', true);
expression = TransformExpandedExpr(expression);
rhs = strrep(rhs, ['+var_expectation(model_name = ' models{idx} ')'], expression);
elseif ~isfield(M_, 'pac') && ~isfield(M_, 'var_expectation')
withexpansion = false;
end
end
lhs = model{id}.lhs;
if withparamvalues
pnames = get_variables_and_parameters_in_equation(lhs, rhs, M_);
if ~isempty(pnames)
for ip = 1:length(pnames)
iP = find(strcmp(M_.param_names, pnames{ip}));
if isnan(M_.params(iP))
continue
end
value = M_.params(iP);
rhs = regexprep(rhs, sprintf('\\<%s\\>', pnames{ip}), num2str(value, 6));
lhs = regexprep(lhs, sprintf('\\<%s\\>', pnames{ip}), num2str(value, 6));
end
end
end
skipline()
fprintf('%s = %s;\n', lhs, rhs);
end
skipline()
function [transformed_expression] = TransformExpandedExpr(expression)
transformed_expression = splitlines(expression);
transformed_expression{1} = sprintf(' + %s', transformed_expression{1});
transformed_expression = sprintf('\n\t%s', transformed_expression{:});
|
