function [res,A,info] = ep_problem_2(y,x,pm) info = 0; res = []; A = []; dynamic_model = pm.dynamic_model; ny = pm.ny; params = pm.params; steady_state = pm.steady_state; order = pm.order; nodes = pm.nodes; nnodes = pm.nnodes; weights = pm.weights; h_correction = pm.h_correction; dimension = pm.dimension; world_nbr = pm.world_nbr; nnzA = pm.nnzA; periods = pm.periods; i_rows = pm.i_rows'; i_cols = pm.i_cols; nyp = pm.nyp; nyf = pm.nyf; hybrid_order = pm.hybrid_order; i_cols_1 = pm.i_cols_1; i_cols_j = pm.i_cols_j; icA = pm.icA; i_cols_T = pm.i_cols_T; eq_index = pm.eq_index; i_cols_p = i_cols(1:nyp); i_cols_s = i_cols(nyp+(1:ny)); i_cols_f = i_cols(nyp+ny+(1:nyf)); i_cols_A = i_cols; i_cols_Ap0 = i_cols_p; i_cols_As = i_cols_s; i_cols_Af0 = i_cols_f - ny; i_hc = i_cols_f - 2*ny; nzA = cell(periods,world_nbr); res = zeros(ny,periods,world_nbr); Y = zeros(ny*(periods+2),world_nbr); Y(1:ny,1) = pm.y0; Y(end-ny+1:end,:) = repmat(steady_state,1,world_nbr); Y(pm.i_upd_y) = y; offset_r0 = 0; for i = 1:order+1 i_w_p = 1; for j = 1:(1+(nnodes-1)*(i-1)) innovation = x; if i <= order && j == 1 % first world, integrating future shocks if nargout > 1 A1 = sparse([],[],[],i*(1+(nnodes-1)*(i-1))*ny,dimension,nnzA*world_nbr); end for k=1:nnodes if nargout > 1 if i == 2 i_cols_Ap = i_cols_Ap0; elseif i > 2 i_cols_Ap = i_cols_Ap0 + ny*(i-2+(nnodes- ... 1)*(i-2)*(i-3)/2); end if k == 1 i_cols_Af = i_cols_Af0 + ny*(i-1+(nnodes-1)*i*(i-1)/ ... 2); else i_cols_Af = i_cols_Af0 + ny*(i-1+(nnodes-1)*i*(i-1)/ ... 2+(i-1)*(nnodes-1) ... + k - 1); end end if i > 1 innovation(i+1,:) = nodes(k,:); end if k == 1 k1 = 1; else k1 = (nnodes-1)*(i-1)+k; end if hybrid_order == 2 && (k > 1 || i == order) z = [Y(i_cols_p,1); Y(i_cols_s,1); Y(i_cols_f,k1)+h_correction(i_hc)]; else z = [Y(i_cols_p,1); Y(i_cols_s,1); Y(i_cols_f,k1)]; end if nargout > 1 [d1,jacobian] = dynamic_model(z,innovation,params,steady_state,i+1); if i == 1 % in first period we don't keep track of % predetermined variables i_cols_A = [i_cols_As - ny; i_cols_Af]; A1(i_rows,i_cols_A) = A1(i_rows,i_cols_A) + weights(k)*jacobian(eq_index,i_cols_1); else i_cols_A = [i_cols_Ap; i_cols_As; i_cols_Af]; A1(i_rows,i_cols_A) = A1(i_rows,i_cols_A) + weights(k)*jacobian(eq_index,i_cols_j); end else d1 = dynamic_model(z,innovation,params,steady_state,i+1); end res(:,i,1) = res(:,i,1)+weights(k)*d1(eq_index); end if nargout > 1 [ir,ic,v] = find(A1); nzA{i,j} = [ir,ic,v]'; end elseif j > 1 + (nnodes-1)*(i-2) % new world, using previous state of world 1 and hit % by shocks from nodes if nargout > 1 i_cols_Ap = i_cols_Ap0 + ny*(i-2+(nnodes-1)*(i-2)*(i-3)/2); i_cols_Af = i_cols_Af0 + ny*(i+(nnodes-1)*i*(i-1)/2+j-2); end k = j - (nnodes-1)*(i-2); innovation(i+1,:) = nodes(k,:); z = [Y(i_cols_p,1); Y(i_cols_s,j); Y(i_cols_f,j)]; if nargout > 1 [d1,jacobian] = dynamic_model(z,innovation,params,steady_state,i+1); i_cols_A = [i_cols_Ap; i_cols_As; i_cols_Af]; [ir,ic,v] = find(jacobian(eq_index,i_cols_j)); nzA{i,j} = [i_rows(ir),i_cols_A(ic), v]'; else d1 = dynamic_model(z,innovation,params,steady_state,i+1); end res(:,i,j) = d1(eq_index); if nargout > 1 i_cols_Af = i_cols_Af + ny; end else % existing worlds other than 1 if nargout > 1 i_cols_Ap = i_cols_Ap0 + ny*(i-2+(nnodes-1)*(i-2)*(i-3)/2+j-1); i_cols_Af = i_cols_Af0 + ny*(i+(nnodes-1)*i*(i-1)/2+j-2); end z = [Y(i_cols_p,j); Y(i_cols_s,j); Y(i_cols_f,j)]; if nargout > 1 [d1,jacobian] = dynamic_model(z,innovation,params,steady_state,i+1); i_cols_A = [i_cols_Ap; i_cols_As; i_cols_Af]; [ir,ic,v] = find(jacobian(eq_index,i_cols_j)); nzA{i,j} = [i_rows(ir),i_cols_A(ic),v]'; i_cols_Af = i_cols_Af + ny; else d1 = dynamic_model(z,innovation,params,steady_state,i+1); end res(:,i,j) = d1(eq_index); end i_rows = i_rows + ny; if mod(j,nnodes) == 0 i_w_p = i_w_p + 1; end if nargout > 1 && i > 1 i_cols_As = i_cols_As + ny; end offset_r0 = offset_r0 + ny; end i_cols_p = i_cols_p + ny; i_cols_s = i_cols_s + ny; i_cols_f = i_cols_f + ny; end for j=1:world_nbr i_rows_y = i_cols+(order+1)*ny; offset_c = ny*(order+(nnodes-1)*(order-1)*order/2+j-1); offset_r = offset_r0+(j-1)*ny; for i=order+2:periods if nargout > 1 [d1,jacobian] = dynamic_model(Y(i_rows_y,j),x,params, ... steady_state,i+1); if i < periods [ir,ic,v] = find(jacobian(eq_index,i_cols_j)); else [ir,ic,v] = find(jacobian(eq_index,i_cols_T)); end nzA{i,j} = [offset_r+ir,offset_c+icA(ic), v]'; else d1 = dynamic_model(Y(i_rows_y,j),x,params, ... steady_state,i+1); end res(:,i,j) = d1(eq_index); i_rows_y = i_rows_y + ny; offset_c = offset_c + world_nbr*ny; offset_r = offset_r + world_nbr*ny; end end if nargout > 1 iA = [nzA{:}]'; A = sparse(iA(:,1),iA(:,2),iA(:,3),dimension,dimension); end res = res(pm.i_upd_r);