commit
a83570e1f4
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@ -192,9 +192,9 @@ if ~oo_.deterministic_simulation.status && ~options_.no_homotopy
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warning(warning_old_state);
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end
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%If simulated paths are complex, take real part and recompute the residuals to check whether this is actually a solution
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if ~isreal(oo_.endo_simul(:)) % cannot happen with bytecode or the perfect_foresight_problem DLL
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ny = size(oo_.endo_simul, 1)
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ny = size(oo_.endo_simul, 1);
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if M_.maximum_lag > 0
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y0 = real(oo_.endo_simul(:, M_.maximum_lag));
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else
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@ -205,9 +205,20 @@ if ~isreal(oo_.endo_simul(:)) % cannot happen with bytecode or the perfect_fores
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else
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yT = NaN(ny, 1);
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end
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yy = real(oo_.endo_simul(:,M_.maximum_lag+(1:periods)));
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residuals = perfect_foresight_problem(yy(:), y0, yT, oo_.exo_simul, M_.params, oo_.steady_state, periods, M_, options_);
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if M_.maximum_lag~=0 && M_.maximum_lead~=0
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yy = real(oo_.endo_simul(:,M_.maximum_lag+(1:periods)));
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residuals = perfect_foresight_problem(yy(:), y0, yT, oo_.exo_simul, M_.params, oo_.steady_state, periods, M_, options_);
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else
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%The perfect_foresight_problem MEX only works on models with lags and leads
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i_cols = find(M_.lead_lag_incidence');
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residuals=NaN(ny,periods);
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yy=real(oo_.endo_simul);
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for it = (M_.maximum_lag+1):(M_.maximum_lag+periods)
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residuals(:,it) = feval([M_.fname '.dynamic'],yy(i_cols), oo_.exo_simul, M_.params, oo_.steady_state, it);
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i_cols = i_cols + ny;
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end
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residuals=residuals(:);
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end
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if max(abs(residuals))< options_.dynatol.f
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oo_.deterministic_simulation.status = true;
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