Considers a pathological case where the dynamic model is simulated on one period
parent
fb127d010e
commit
47022b12c3
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@ -62,6 +62,8 @@ exo_simul = oo_.exo_simul;
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i_cols_1 = nonzeros(lead_lag_incidence(2:3,:)');
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i_cols_1 = nonzeros(lead_lag_incidence(2:3,:)');
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i_cols_A1 = find(lead_lag_incidence(2:3,:)');
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i_cols_A1 = find(lead_lag_incidence(2:3,:)');
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i_cols_T = nonzeros(lead_lag_incidence(1:2,:)');
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i_cols_T = nonzeros(lead_lag_incidence(1:2,:)');
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i_cols_0 = nonzeros(lead_lag_incidence(2,:)');
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i_cols_A0 = find(lead_lag_incidence(2,:)');
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i_cols_j = 1:nd;
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i_cols_j = 1:nd;
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i_upd = ny+(1:periods*ny);
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i_upd = ny+(1:periods*ny);
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@ -93,10 +95,12 @@ for iter = 1:options_.maxit_
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[d1,jacobian] = model_dynamic(Y(i_cols),exo_simul, params, ...
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[d1,jacobian] = model_dynamic(Y(i_cols),exo_simul, params, ...
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steady_state,it);
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steady_state,it);
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if it == 2
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if it == periods+1 && it == 2
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A(i_rows,i_cols_A1) = jacobian(:,i_cols_1);
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A(i_rows,i_cols_A0) = jacobian(:,i_cols_0);
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elseif it == periods+1
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elseif it == periods+1
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A(i_rows,i_cols_A(i_cols_T)) = jacobian(:,i_cols_T);
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A(i_rows,i_cols_A(i_cols_T)) = jacobian(:,i_cols_T);
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elseif it == 2
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A(i_rows,i_cols_A1) = jacobian(:,i_cols_1);
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else
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else
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A(i_rows,i_cols_A) = jacobian(:,i_cols_j);
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A(i_rows,i_cols_A) = jacobian(:,i_cols_j);
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end
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end
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@ -141,7 +145,7 @@ if ~stop
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fprintf('\n') ;
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fprintf('\n') ;
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oo_.deterministic_simulation.status = 0;% more iterations are needed.
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oo_.deterministic_simulation.status = 0;% more iterations are needed.
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oo_.deterministic_simulation.error = err;
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oo_.deterministic_simulation.error = err;
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oo_.deterministic_simulation.errors = c/abs(err);
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%oo_.deterministic_simulation.errors = c/abs(err)
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oo_.deterministic_simulation.iterations = options_.maxit_;
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oo_.deterministic_simulation.iterations = options_.maxit_;
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end
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end
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disp (['-----------------------------------------------------']) ;
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disp (['-----------------------------------------------------']) ;
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