- Added the possibility to compute annualized variables and associated decompositions out of quarterly ones, without blowing up variable definitions
- Fixed call to plot realtime conditional shock decompositiontime-shift
parent
bb4ecbf5a8
commit
bfe6d04bf2
|
@ -0,0 +1,195 @@
|
|||
function [z, endo_names, endo_names_tex, steady_state, i_var, oo_] = annualized_shock_decomposition(oo_, M_, opts, i_var, t0, t1, realtime_, vintage_, steady_state,GYTREND0,var_type,islog)
|
||||
% function oo_ = annualized_shock_decomposition(oo_,t0,options_.nobs);
|
||||
% Computes annualized shocks contribution to a simulated trajectory. The fields set are
|
||||
% oo_.annualized_shock_decomposition, oo_.annualized_realtime_shock_decomposition,
|
||||
% oo_.annualized_realtime_conditional_shock_decomposition and oo_.annualized_realtime_forecast_shock_decomposition.
|
||||
% Subfields are arrays n_var by nshock+2 by nperiods. The
|
||||
% first nshock columns store the respective shock contributions, column n+1
|
||||
% stores the role of the initial conditions, while column n+2 stores the
|
||||
% value of the smoothed variables. Both the variables and shocks are stored
|
||||
% in the order of endo_names and M_.exo_names, respectively.
|
||||
%
|
||||
% INPUTS
|
||||
% oo_: [structure] Storage of results
|
||||
% M_: [structure] Storage of model
|
||||
% opts: [structure] options for shock decomp
|
||||
% i_var: [array] index of vars
|
||||
% t0: [integer] first period
|
||||
% t1: [integer] last period
|
||||
% realtime_: [integer]
|
||||
% vintage_: [integer]
|
||||
% steady_state: [array] steady state value of quarterly (log-) level vars
|
||||
% GYTREND0: [array] growth of level of vars
|
||||
% var_type: [integer] flag for stock/flow/deflator
|
||||
% islog: [integer] flag for log-levels
|
||||
%
|
||||
% OUTPUTS
|
||||
% z: [matrix] shock decomp to plot
|
||||
% endo_names: [char] updated var names
|
||||
% endo_names_tex: [char] updated TeX var names
|
||||
% steady_state: [array] updated stady state of vars
|
||||
% i_var: [integer array] updated var indices to plot
|
||||
% oo_: [structure] Storage of results
|
||||
%
|
||||
% SPECIAL REQUIREMENTS
|
||||
% none
|
||||
|
||||
% Copyright (C) 2017 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/>.
|
||||
|
||||
nvar = length(i_var);
|
||||
|
||||
% usual shock decomp
|
||||
z = oo_.shock_decomposition;
|
||||
z = z(i_var,:,:);
|
||||
if var_type==2,
|
||||
gtxt = 'PHI'; % inflation rate
|
||||
gtex = '\pi';
|
||||
else
|
||||
gtxt = 'G'; % growth rate
|
||||
gtex = 'g';
|
||||
end
|
||||
steady_state=steady_state(i_var);
|
||||
% endo_names = M_.endo_names(i_var,:);
|
||||
% endo_names_tex = M_.endo_names_tex(i_var,:);
|
||||
nterms = size(z,2);
|
||||
nfrcst = opts.forecast/4;
|
||||
|
||||
for j=1:nvar
|
||||
if j>1,
|
||||
endo_names = char(endo_names,[deblank(M_.endo_names(i_var(j),:)) '_A']);
|
||||
endo_names_tex = char(endo_names_tex,['{' deblank(M_.endo_names_tex(i_var(j),:)) '}^A']);
|
||||
gendo_names = char(gendo_names,[gtxt endo_names(j,:)]);
|
||||
gendo_names_tex = char(gendo_names_tex,[gtex '(' deblank(endo_names_tex(j,:)) ')']);
|
||||
else
|
||||
endo_names = [deblank(M_.endo_names(i_var(j),:)) '_A'];
|
||||
endo_names_tex = ['{' deblank(M_.endo_names_tex(i_var(j),:)) '}^A'];
|
||||
gendo_names = [gtxt endo_names(j,:)];
|
||||
gendo_names_tex = [gtex '(' deblank(endo_names_tex(j,:)) ')'];
|
||||
end
|
||||
for k =1:nterms,
|
||||
[za(j,k,:), steady_state_a(j,1), gza(j,k,:), steady_state_ga(j,1)] = ...
|
||||
quarterly2annual(squeeze(z(j,k,t0:end)),steady_state(j),GYTREND0,var_type,islog);
|
||||
end
|
||||
ztmp=squeeze(za(j,:,:));
|
||||
zscale = sum(ztmp(1:end-1,:))./ztmp(end,:);
|
||||
ztmp(1:end-1,:) = ztmp(1:end-1,:)./repmat(zscale,[nterms-1,1]);
|
||||
gztmp=squeeze(gza(j,:,:));
|
||||
gscale = sum(gztmp(1:end-1,:))./ gztmp(end,:);
|
||||
gztmp(1:end-1,:) = gztmp(1:end-1,:)./repmat(gscale,[nterms-1,1]);
|
||||
za(j,:,:) = ztmp;
|
||||
gza(j,:,:) = gztmp;
|
||||
end
|
||||
|
||||
z=cat(1,za,gza);
|
||||
oo_.annualized_shock_decomposition=z;
|
||||
endo_names = char(endo_names,gendo_names);
|
||||
endo_names_tex = char(endo_names_tex,gendo_names_tex);
|
||||
|
||||
% realtime
|
||||
init=1;
|
||||
for i=t0:4:t1,
|
||||
yr=floor(i/4);
|
||||
za=[];
|
||||
gza=[];
|
||||
z = oo_.realtime_shock_decomposition.(['time_' int2str(i)]);
|
||||
z = z(i_var,:,:);
|
||||
|
||||
for j=1:nvar
|
||||
for k =nterms:-1:1,
|
||||
% if k<nterms
|
||||
% ztmp = squeeze(sum(z(j,[1:k-1,k+1:end-1],t0-4:end)));
|
||||
% else
|
||||
ztmp = squeeze(z(j,k,t0-4:end));
|
||||
% end
|
||||
[za(j,k,:), steady_state_a(j,1), gza(j,k,:), steady_state_ga(j,1)] = ...
|
||||
quarterly2annual(ztmp,steady_state(j),GYTREND0,var_type,islog);
|
||||
% if k<nterms
|
||||
% za(j,k,:) = za(j,end,:) - za(j,k,:);
|
||||
% gza(j,k,:) = gza(j,end,:) - gza(j,k,:);
|
||||
% end
|
||||
|
||||
end
|
||||
|
||||
ztmp=squeeze(za(j,:,:));
|
||||
gztmp=squeeze(gza(j,:,:));
|
||||
ztmp=squeeze(za(j,:,:));
|
||||
zscale = sum(ztmp(1:end-1,:))./ztmp(end,:);
|
||||
ztmp(1:end-1,:) = ztmp(1:end-1,:)./repmat(zscale,[nterms-1,1]);
|
||||
gztmp=squeeze(gza(j,:,:));
|
||||
gscale = sum(gztmp(1:end-1,:))./ gztmp(end,:);
|
||||
gztmp(1:end-1,:) = gztmp(1:end-1,:)./repmat(gscale,[nterms-1,1]);
|
||||
za(j,:,:) = ztmp;
|
||||
gza(j,:,:) = gztmp;
|
||||
end
|
||||
|
||||
z=cat(1,za,gza);
|
||||
steady_state = [steady_state_a;steady_state_ga];
|
||||
if init==1,
|
||||
oo_.annualized_realtime_shock_decomposition.pool = z;
|
||||
else
|
||||
oo_.annualized_realtime_shock_decomposition.pool(:,:,yr) = z(:,:,end-nfrcst);
|
||||
end
|
||||
oo_.annualized_realtime_shock_decomposition.(['yr_' int2str(yr)]) = z;
|
||||
|
||||
if opts.forecast
|
||||
oo_.annualized_realtime_forecast_shock_decomposition.(['yr_' int2str(yr)]) = z(:,:,end-nfrcst:end);
|
||||
if init>nfrcst
|
||||
oo_.annualized_realtime_conditional_shock_decomposition.(['yr_' int2str(yr-nfrcst)]) = ...
|
||||
oo_.annualized_realtime_shock_decomposition.pool(:,:,yr-nfrcst:end) - ...
|
||||
oo_.annualized_realtime_forecast_shock_decomposition.(['yr_' int2str(yr-nfrcst)]);
|
||||
oo_.annualized_realtime_conditional_shock_decomposition.(['yr_' int2str(yr-nfrcst)])(:,end-1,:) = ...
|
||||
oo_.annualized_realtime_forecast_shock_decomposition.(['yr_' int2str(yr-nfrcst)])(:,end,:);
|
||||
end
|
||||
end
|
||||
% ztmp=oo_.realtime_shock_decomposition.pool(:,:,21:29)-oo_.realtime_forecast_shock_decomposition.time_21;
|
||||
|
||||
|
||||
|
||||
init=init+1;
|
||||
end
|
||||
|
||||
i_var=1:2*nvar;
|
||||
steady_state = [steady_state_a;steady_state_ga];
|
||||
|
||||
|
||||
switch realtime_
|
||||
|
||||
case 0
|
||||
z = oo_.annualized_shock_decomposition;
|
||||
|
||||
case 1 % realtime
|
||||
if vintage_
|
||||
z = oo_.annualized_realtime_shock_decomposition.(['yr_' int2str(floor(vintage_/4))]);
|
||||
else
|
||||
z = oo_.annualized_realtime_shock_decomposition.pool;
|
||||
end
|
||||
|
||||
case 2 % conditional
|
||||
if vintage_
|
||||
z = oo_.annualized_realtime_conditional_shock_decomposition.(['yr_' int2str(floor(vintage_/4))]);
|
||||
else
|
||||
error();
|
||||
end
|
||||
|
||||
case 3 % forecast
|
||||
if vintage_
|
||||
z = oo_.annualized_realtime_forecast_shock_decomposition.(['yr_' int2str(floor(vintage_/4))]);
|
||||
else
|
||||
error()
|
||||
end
|
||||
end
|
|
@ -67,6 +67,12 @@ end
|
|||
write_xls = options_.shock_decomp.write_xls;
|
||||
|
||||
initial_date = options_.initial_date;
|
||||
|
||||
if isfield(options_.shock_decomp,'q2a'), % private trap for aoa calls
|
||||
q2a=options_.shock_decomp.q2a;
|
||||
else
|
||||
q2a=0;
|
||||
end
|
||||
|
||||
switch realtime_
|
||||
|
||||
|
@ -85,7 +91,7 @@ switch realtime_
|
|||
|
||||
case 2 % conditional
|
||||
if vintage_
|
||||
z = oo_.conditional_shock_decomposition.(['time_' int2str(vintage_)]);
|
||||
z = oo_.realtime_conditional_shock_decomposition.(['time_' int2str(vintage_)]);
|
||||
initial_date = options_.initial_date+vintage_-1;
|
||||
fig_names1=[fig_names ' ' int2str(forecast_) '-step ahead conditional forecast (given ' char(initial_date) ')'];
|
||||
else
|
||||
|
@ -170,14 +176,47 @@ switch type
|
|||
case 'aoa'
|
||||
|
||||
if isempty(initial_date),
|
||||
initial_date = dates('1Y');
|
||||
t0=4;
|
||||
initial_date = dates('1Y');
|
||||
else
|
||||
initial_date0 = dates([int2str(initial_date.time(1)) 'Y']);
|
||||
if initial_date.time(2)==1,
|
||||
t0=4;
|
||||
else
|
||||
t0=4+(4-initial_date.time(2)+1);
|
||||
initial_date1=initial_date0+1;
|
||||
end
|
||||
end
|
||||
if q2a
|
||||
var_type=1;
|
||||
islog=0;
|
||||
GYTREND0 = 0;
|
||||
if isfield(options_.shock_decomp,'var_type'), % private trap for aoa calls
|
||||
var_type=options_.shock_decomp.var_type;
|
||||
end
|
||||
if isfield(options_.shock_decomp,'islog'), % private trap for aoa calls
|
||||
islog=options_.shock_decomp.islog;
|
||||
end
|
||||
if isfield(options_.shock_decomp,'GYTREND0'), % private trap for aoa calls
|
||||
GYTREND0=options_.shock_decomp.GYTREND0;
|
||||
end
|
||||
|
||||
|
||||
[za, endo_names, endo_names_tex, steady_state, i_var, oo_] = ...
|
||||
annualized_shock_decomposition(oo_,M_, options_.shock_decomp, i_var, t0, options_.nobs, realtime_, vintage_, steady_state,GYTREND0,var_type,islog);
|
||||
if realtime_<2
|
||||
initial_date = initial_date1;
|
||||
else
|
||||
initial_date = initial_date0;
|
||||
end
|
||||
z = za;
|
||||
M_.endo_names = endo_names;
|
||||
M_.endo_names_tex = endo_names_tex;
|
||||
else
|
||||
t0=4-initial_date.time(2)+1;
|
||||
initial_date = dates([int2str(initial_date.time(1)) 'Y']);
|
||||
initial_date = initial_date0;
|
||||
z=z(:,:,t0:4:end);
|
||||
end
|
||||
z=z(:,:,t0:4:end);
|
||||
|
||||
otherwise
|
||||
|
||||
error('plot_shock_decomposition:: Wrong type')
|
||||
|
|
|
@ -0,0 +1,32 @@
|
|||
function xlag = lagged(x, n);
|
||||
% xlag = lagged(x, n);
|
||||
% applies n-lags backward shift operator to x
|
||||
%
|
||||
% INPUTS
|
||||
% x = time series
|
||||
% n = number of backward shifts [DEFAULT=1]
|
||||
%
|
||||
% OUTPUT
|
||||
% xlag = backward shifted series
|
||||
|
||||
% Copyright (C) 2017 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 nargin==1, n=1; end
|
||||
|
||||
x=x(:);
|
||||
xlag=[NaN(n,1); x(1:end-n)];
|
|
@ -0,0 +1,79 @@
|
|||
function [ya, yass, gya, gyass] = quarterly2annual(y,yss,GYTREND0,type,islog)
|
||||
% function [ya, yass, gya, gyass] = quarterly2annual(y,yss,GYTREND0,type,islog)
|
||||
% transforms quarterly (log-)level time series to annual level and growth rate
|
||||
% it accounts for stock/flow/deflator series.
|
||||
%
|
||||
% INPUTS
|
||||
% y quarterly time series
|
||||
% yss steady state of y
|
||||
% GYTREND0 growth rate of y
|
||||
% type 1 flow (default)
|
||||
% 2 deflator
|
||||
% 0 stock
|
||||
% islog 0 level (default)
|
||||
% 1 log-level
|
||||
%
|
||||
% OUTPUTS
|
||||
% ya annual (log-)level
|
||||
% yass annual steadystate (log-)level
|
||||
% gya annual growth rate
|
||||
% gyass annual growth rate steadystate
|
||||
|
||||
% Copyright (C) 2017 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 nargin ==0,
|
||||
disp('[ya, yass, gya, gyass] = quarterly2annual(y,yss,GYTREND0,type,islog);')
|
||||
return
|
||||
end
|
||||
|
||||
if nargin<4 || isempty(type),
|
||||
type=1;
|
||||
end
|
||||
if nargin<5 || isempty(islog),
|
||||
islog=0;
|
||||
end
|
||||
if islog
|
||||
y=exp(y+yss);
|
||||
yss=exp(yss);
|
||||
y=y-yss;
|
||||
end
|
||||
switch type
|
||||
case 1
|
||||
yass = yss*(exp(-GYTREND0*3)+exp(-GYTREND0*2)+exp(-GYTREND0)+1);
|
||||
tmp = lagged(y,3)*exp(-GYTREND0*3)+lagged(y,2)*exp(-GYTREND0*2)+lagged(y,1)*exp(-GYTREND0)+y; % annualized level
|
||||
case 2
|
||||
yass = yss*(exp(-GYTREND0*3)+exp(-GYTREND0*2)+exp(-GYTREND0)+1)/4;
|
||||
tmp = (lagged(y,3)*exp(-GYTREND0*3)+lagged(y,2)*exp(-GYTREND0*2)+lagged(y,1)*exp(-GYTREND0)+y)/4; % annualized level
|
||||
case 3
|
||||
yass=yss;
|
||||
tmp = y;
|
||||
otherwise
|
||||
error('Wrong type input')
|
||||
end
|
||||
|
||||
ya = tmp(4:4:end);
|
||||
% annual growth rate
|
||||
gyass = GYTREND0*4;
|
||||
gya = (ya+yass)./(lagged(ya,1)+yass).*exp(4*GYTREND0)-1-gyass;
|
||||
|
||||
if islog
|
||||
ya=log(ya+yass);
|
||||
yass=log(yass);
|
||||
ya=ya-yass;
|
||||
end
|
||||
|
Loading…
Reference in New Issue