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Merge pull request #816 from JohannesPfeifer/loglinear_steady_error 

Integrate error from negative steady state with loglinear model into pri...
time-shift
Stéphane Adjemian 2015-03-01 16:30:29 +01:00
parent 11e0ff4818 bda19832cd
commit ba2c4db88c
3 changed files with 25 additions and 17 deletions
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4
matlab/dsge_likelihood.m
View File

@ -70,6 +70,8 @@ function [fval,DLIK,Hess,exit_flag,SteadyState,trend_coeff,info,Model,DynareOpti
%! M_.params has been updated in the steadystate routine and has complex valued scalars.
%! @item info==24
%! M_.params has been updated in the steadystate routine and has some NaNs.
%! @item info==26
%! M_.params has been updated in the steadystate routine and has negative/0 values in loglinear model.
%! @item info==30
%! Ergodic variance can't be computed.
%! @item info==41
@ -266,7 +268,7 @@ if info(1) == 1 || info(1) == 2 || info(1) == 5 || info(1) == 7 || info(1) == 8
DLIK=ones(length(xparam1),1);
end
return
elseif info(1) == 3 || info(1) == 4 || info(1)==6 || info(1) == 20 || info(1) == 21 || info(1) == 23
elseif info(1) == 3 || info(1) == 4 || info(1)==6 || info(1) == 20 || info(1) == 21 || info(1) == 23 || info(1)==26
fval = objective_function_penalty_base+info(2);
info = info(1);
exit_flag = 0;

2
matlab/print_info.m
View File

@ -88,6 +88,8 @@ if ~noprint
error('Some updated params contain NaN or Inf')
case 25
error('The solution to the static equations is not a steady state of the dynamic model: verify that the equations tagged by [static] and [dynamic] are consistent')
case 26
error('The loglinearization of the model cannot be performed, because the steady state is not strictly positive.')
case 30
error('Variance can''t be computed')
case 41

36
matlab/resol.m
View File

@ -111,23 +111,27 @@ if options.loglinear
% Find variables with non positive steady state.
idx = find(dr.ys<1e-9);
if length(idx)
variables_with_non_positive_steady_state = M.endo_names(idx,:);
skipline()
fprintf('You are attempting to simulate/estimate a loglinear approximation of a model, but\n')
fprintf('the steady state level of the following variables is not strictly positive:\n')
for var_iter=1:length(idx)
fprintf(' - %s (%s)\n',deblank(variables_with_non_positive_steady_state(var_iter,:)), num2str(dr.ys(idx(var_iter))))
if options.debug
variables_with_non_positive_steady_state = M.endo_names(idx,:);
skipline()
fprintf('You are attempting to simulate/estimate a loglinear approximation of a model, but\n')
fprintf('the steady state level of the following variables is not strictly positive:\n')
for var_iter=1:length(idx)
fprintf(' - %s (%s)\n',deblank(variables_with_non_positive_steady_state(var_iter,:)), num2str(dr.ys(idx(var_iter))))
end
if isestimation()
fprintf('You should check that the priors and/or bounds over the deep parameters are such\n')
fprintf('that the steady state levels of all the variables are strictly positive, or consider\n')
fprintf('a linearization of the model instead of a log linearization.\n')
else
fprintf('You should check that the calibration of the deep parameters is such that the\n')
fprintf('steady state levels of all the variables are strictly positive, or consider\n')
fprintf('a linearization of the model instead of a log linearization.\n')
end
end
if isestimation()
fprintf('You should check that the priors and/or bounds over the deep parameters are such\n')
fprintf('that the steady state levels of all the variables are strictly positive, or consider\n')
fprintf('a linearization of the model instead of a log linearization.\n')
else
fprintf('You should check that the calibration of the deep parameters is such that the\n')
fprintf('steady state levels of all the variables are strictly positive, or consider\n')
fprintf('a linearization of the model instead of a log linearization.\n')
end
error('stoch_simul::resol: The loglinearization of the model cannot be performed, because the steady state is not strictly positive!')
info(1)=26;
info(2)=sum(dr.ys(dr.ys<1e-9).^2);
return
end
end