diff --git a/matlab/perfect-foresight-models/perfect_foresight_solver_core.m b/matlab/perfect-foresight-models/perfect_foresight_solver_core.m index ae5096087..8692300c0 100644 --- a/matlab/perfect-foresight-models/perfect_foresight_solver_core.m +++ b/matlab/perfect-foresight-models/perfect_foresight_solver_core.m @@ -99,8 +99,12 @@ else sim1_lbj(oo_.endo_simul, oo_.exo_simul, oo_.steady_state, M_, options_); case 7 if options_.linear_approximation - if isequal(options_.solve_algo, 10) - warning('It would be more efficient to set option solve_algo equal to 0!') + if isequal(options_.solve_algo, 10) + if options_.ramsey_policy && isfield(M_,'ramsey_model_constraints') && ~isempty(M_.ramsey_model_constraints) + warning('Due to ramsey_constraints you should not specify your model as model(linear)!') + else + warning('It would be more efficient to set option solve_algo equal to 0!') + end end [oo_.endo_simul, oo_.deterministic_simulation] = ... solve_stacked_linear_problem(oo_.endo_simul, oo_.exo_simul, oo_.steady_state, oo_.exo_steady_state, M_, options_); diff --git a/matlab/test_for_deep_parameters_calibration.m b/matlab/test_for_deep_parameters_calibration.m index 722ad65fc..224db60ef 100644 --- a/matlab/test_for_deep_parameters_calibration.m +++ b/matlab/test_for_deep_parameters_calibration.m @@ -42,7 +42,7 @@ if ~isempty(plist) end tmp = dbstack; message = [message, ' when using ' tmp(2).name '. ']; - message = [message, 'If these parameters are not initialized in a steadystate file or a steady_state_model-block, Dynare may not be able to solve the model...']; + message = [message, 'If these parameters are not initialized in a steadystate file or a steady_state_model-block, Dynare may not be able to solve the model. Note that simul, perfect_foresight_setup, and perfect_foresight_solver do not automatically call the steady state file.']; message_id = 'Dynare:ParameterCalibration:NaNValues'; warning('off','backtrace') warning(message_id,message);