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Provide informative error message when var_exo_det is used with purely forward and backward models (thanks to Stefan Boeters for pointing this out)

time-shift
Johannes Pfeifer 2016-08-24 15:05:28 +02:00
parent b94f30c40a
commit 5996211356
1 changed files with 16 additions and 2 deletions
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18
matlab/stochastic_solvers.m
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@ -56,13 +56,27 @@ if (options_.aim_solver == 1) && (options_.order > 1)
error('Option "aim_solver" is incompatible with order >= 2')
end
if M_.maximum_endo_lag == 0 && options_.order >= 2
if M_.maximum_endo_lag == 0
if options_.order >= 2
fprintf('\nSTOCHASTIC_SOLVER: Dynare does not solve purely forward models at higher order.\n')
fprintf('STOCHASTIC_SOLVER: To circumvent this restriction, you can add a backward-looking dummy equation of the form:\n')
fprintf('STOCHASTIC_SOLVER: junk=0.9*junk(-1);\n')
error(['2nd and 3rd order approximation not implemented for purely ' ...
'forward models'])
end
if M_.exo_det_nbr~=0
fprintf('\nSTOCHASTIC_SOLVER: Dynare does not solve purely forward models with var_exo_det.\n')
fprintf('STOCHASTIC_SOLVER: To circumvent this restriction, you can add a backward-looking dummy equation of the form:\n')
fprintf('STOCHASTIC_SOLVER: junk=0.9*junk(-1);\n')
error(['var_exo_det not implemented for purely forward models'])
end
end
if M_.maximum_endo_lead==0 && M_.exo_det_nbr~=0
fprintf('\nSTOCHASTIC_SOLVER: Dynare does not solve purely backward models with var_exo_det.\n')
fprintf('STOCHASTIC_SOLVER: To circumvent this restriction, you can add a foward-looking dummy equation of the form:\n')
fprintf('STOCHASTIC_SOLVER: junk=0.9*junk(+1);\n')
error(['var_exo_det not implemented for purely backwards models'])
end
if options_.k_order_solver;