Commit 843495eb authored by Ferhat Mihoubi's avatar Ferhat Mihoubi
Browse files

get rid of a useless m-file

parent d837d20d
function disp_dr_sparse(dr,order,var_list)
% Display the decision rules in sparse mode
% This file is a modified version of disp_dr.m: the common parts should be factorized!
%
% INPUTS
% dr [struct]: decision rules
% order [int]: order of approximation
% var_list [char array]: list of endogenous variables for which the
% decision rules should be printed
% Copyright (C) 2001-2010 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/>.
global M_
nx = 0;
nu = 0;
k = [];
klag = [];
k1 = [];
nspred = 0;
for i=1:length(M_.block_structure.block)
nspred = nspred + M_.block_structure.block(i).dr.nspred;
end;
ghu = zeros(M_.endo_nbr, M_.exo_nbr*(M_.maximum_exo_lag+M_.maximum_exo_lead+1));
ghx = zeros(M_.endo_nbr, nspred);
for i=1:length(M_.block_structure.block)
nx = nx + size(M_.block_structure.block(i).dr.ghx,2);
% M_.block_structure.block(i).dr.ghx
% M_.block_structure.block(i).equation
% M_.block_structure.block(i).variable
ghx(M_.block_structure.block(i).equation, M_.block_structure.block(i).variable(find(M_.block_structure.block(i).lead_lag_incidence(1: M_.block_structure.block(i).maximum_endo_lag,:))) ) = M_.block_structure.block(i).dr.ghx;
if(M_.block_structure.block(i).exo_nbr)
nu = nu + size(M_.block_structure.block(i).dr.ghu,2);
ghu(M_.block_structure.block(i).equation, M_.block_structure.block(i).exogenous) = M_.block_structure.block(i).dr.ghu;
end
k_tmp = find(M_.block_structure.block(i).dr.kstate(:,2) <= M_.block_structure.block(i).maximum_lag+1);
k = [k ; k_tmp];
klag = [klag ; M_.block_structure.block(i).dr.kstate(k_tmp,[1 2])];
k1 = [k1 ; M_.block_structure.block(i).variable(M_.block_structure.block(i).dr.order_var)'];
end
if size(var_list,1) == 0
var_list = M_.endo_names(1:M_.orig_endo_nbr, :);
end
nvar = size(var_list,1);
ivar=zeros(nvar,1);
for i=1:nvar
i_tmp = strmatch(var_list(i,:),M_.endo_names(k1,:),'exact');
if isempty(i_tmp)
disp(var_list(i,:));
error (['One of the variable specified does not exist']) ;
else
ivar(i) = i_tmp;
end
end
disp('POLICY AND TRANSITION FUNCTIONS')
% variable names
str = ' ';
for i=1:nvar
str = [str sprintf('%16s',M_.endo_names(k1(ivar(i)),:))];
end
disp(str);
%
% constant
%
str = 'Constant ';
flag = 0;
for i=1:nvar
x = dr.ys(k1(ivar(i)));
if order > 1
x = x + dr.ghs2(ivar(i))/2;
end
if abs(x) > 1e-6
flag = 1;
str = [str sprintf('%16.6f',x)];
else
str = [str ' 0'];
end
end
if flag
disp(str)
end
if order > 1
str = '(correction) ';
flag = 0;
for i=1:nvar
x = dr.ghs2(ivar(i))/2;
if abs(x) > 1e-6
flag = 1;
str = [str sprintf('%16.6f',x)];
else
str = [str ' 0'];
end
end
if flag
disp(str)
end
end
%
% ghx
%
for k=1:nx
flag = 0;
str1 = subst_auxvar(k1(klag(k,1)),klag(k,2)-M_.maximum_lag-2);
str = sprintf('%-20s',str1);
for i=1:nvar
x = ghx(ivar(i),k);
if abs(x) > 1e-6
flag = 1;
str = [str sprintf('%16.6f',x)];
else
str = [str ' 0'];
end
end
if flag
disp(str)
end
end
%
% ghu
%
for k=1:nu
flag = 0;
str = sprintf('%-20s',M_.exo_names(k,:));
for i=1:nvar
x = ghu(ivar(i),k);
if abs(x) > 1e-6
flag = 1;
str = [str sprintf('%16.6f',x)];
else
str = [str ' 0'];
end
end
if flag
disp(str)
end
end
if order > 1
% ghxx
for k = 1:nx
for j = 1:k
flag = 0;
str1 = sprintf('%s,%s',subst_auxvar(k1(klag(k,1)),klag(k,2)-M_.maximum_lag-2), ...
subst_auxvar(k1(klag(j,1)),klag(j,2)-M_.maximum_lag-2));
str = sprintf('%-20s',str1);
for i=1:nvar
if k == j
x = dr.ghxx(ivar(i),(k-1)*nx+j)/2;
else
x = dr.ghxx(ivar(i),(k-1)*nx+j);
end
if abs(x) > 1e-6
flag = 1;
str = [str sprintf('%16.6f',x)];
else
str = [str ' 0'];
end
end
if flag
disp(str)
end
end
end
%
% ghuu
%
for k = 1:nu
for j = 1:k
flag = 0;
str = sprintf('%-20s',[M_.exo_names(k,:) ',' M_.exo_names(j,:)] );
for i=1:nvar
if k == j
x = dr.ghuu(ivar(i),(k-1)*nu+j)/2;
else
x = dr.ghuu(ivar(i),(k-1)*nu+j);
end
if abs(x) > 1e-6
flag = 1;
str = [str sprintf('%16.6f',x)];
else
str = [str ' 0'];
end
end
if flag
disp(str)
end
end
end
%
% ghxu
%
for k = 1:nx
for j = 1:nu
flag = 0;
str1 = sprintf('%s,%s',subst_auxvar(k1(klag(k,1)),klag(k,2)-M_.maximum_lag-2), ...
M_.exo_names(j,:));
str = sprintf('%-20s',str1);
for i=1:nvar
x = dr.ghxu(ivar(i),(k-1)*nu+j);
if abs(x) > 1e-6
flag = 1;
str = [str sprintf('%16.6f',x)];
else
str = [str ' 0'];
end
end
if flag
disp(str)
end
end
end
end
end
% Given the index of an endogenous (possibly an auxiliary var), and a
% lead/lag, creates a string of the form "x(lag)".
% In the case of auxiliary vars for lags, replace by the original variable
% name, and compute the lead/lag accordingly.
function str = subst_auxvar(aux_index, aux_lead_lag)
global M_
if aux_index <= M_.orig_endo_nbr
str = sprintf('%s(%d)', deblank(M_.endo_names(aux_index,:)), aux_lead_lag);
return
end
for i = 1:length(M_.aux_vars)
if M_.aux_vars(i).endo_index == aux_index
switch M_.aux_vars(i).type
case 1
orig_name = deblank(M_.endo_names(M_.aux_vars(i).orig_index, :));
case 3
orig_name = deblank(M_.exo_names(M_.aux_vars(i).orig_index, :));
otherwise
error(sprintf('Invalid auxiliary type: %s', M_.endo_names(aux_index, :)))
end
str = sprintf('%s(%d)', orig_name, M_.aux_vars(i).orig_lead_lag+aux_lead_lag);
return
end
end
error(sprintf('Could not find aux var: %s', M_.endo_names(aux_index, :)))
end
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