/* Tests that local_state_space_iteration_3 and local_state_space_iteration_k (for k=3) return the same results This file must be run after first_spec.mod (both are based on the same model). */ @#include "first_spec_common.inc" varobs q ca; shocks; var eeps = 0.04^2; var nnu = 0.03^2; var q = 0.01^2; var ca = 0.01^2; end; // Initialize various structures estimation(datafile='my_data.mat',order=3,mode_compute=0,mh_replic=0,filter_algorithm=sis,nonlinear_filter_initialization=2 ,cova_compute=0 %tell program that no covariance matrix was computed ); stoch_simul(order=3, periods=200, irf=0, k_order_solver); // Really perform the test nparticles = options_.particle.number_of_particles; nsims = 1e6/nparticles; /* We generate particles using realistic distributions (though this is not strictly needed) */ nstates = M_.npred + M_.nboth; state_idx = oo_.dr.order_var((M_.nstatic+1):(M_.nstatic+nstates)); yhat = chol(oo_.var(state_idx,state_idx))*randn(nstates, nparticles); epsilon = chol(M_.Sigma_e)*randn(M_.exo_nbr, nparticles); dr = oo_.dr; // “rf” stands for “Reduced Form” rf_ghx = dr.ghx(dr.restrict_var_list, :); rf_ghu = dr.ghu(dr.restrict_var_list, :); rf_ss = dr.ys(dr.order_var); rf_ss = rf_ss(dr.restrict_var_list, :); rf_constant = dr.ys(dr.order_var)+0.5*dr.ghs2; rf_constant = rf_constant(dr.restrict_var_list, :); rf_ghxx = dr.ghxx(dr.restrict_var_list, :); rf_ghuu = dr.ghuu(dr.restrict_var_list, :); rf_ghxu = dr.ghxu(dr.restrict_var_list, :); rf_ghs2 = dr.ghs2(dr.restrict_var_list, :); rf_ghxxx = dr.ghxxx(dr.restrict_var_list, :); rf_ghuuu = dr.ghuuu(dr.restrict_var_list, :); rf_ghxxu = dr.ghxxu(dr.restrict_var_list, :); rf_ghxuu = dr.ghxuu(dr.restrict_var_list, :); rf_ghxss = dr.ghxss(dr.restrict_var_list, :); rf_ghuss = dr.ghuss(dr.restrict_var_list, :); % Without pruning tStart1 = tic; for i=1:nsims, ynext1 = local_state_space_iteration_3(yhat, epsilon, rf_ghx, rf_ghu, rf_ghxx, rf_ghuu, rf_ghxu, rf_ghs2, rf_ghxxx, rf_ghuuu, rf_ghxxu, rf_ghxuu, rf_ghxss, rf_ghuss, rf_ss, options_.threads.local_state_space_iteration_3, false); end, tElapsed1 = toc(tStart1); tStart2 = tic; [udr] = folded_to_unfolded_dr(dr, M_, options_); for i=1:nsims, ynext2 = local_state_space_iteration_k(yhat, epsilon, dr, M_, options_, udr); end, tElapsed2 = toc(tStart2); if max(max(abs(ynext1-ynext2))) > 1e-10 error('Without pruning: Inconsistency between local_state_space_iteration_3 and local_state_space_iteration_k') end if tElapsed1 1e-14 error('With pruning: inconsistency between local_state_space_iteration_2 and local_state_space_iteration_3 on the 1st-order pruned variable') end ynext3_2nd = ynext3_lat(1:nstatesandobs,:)+ynext3_lat(nstatesandobs+1:2*nstatesandobs,:)-rf_ss; if max(abs(ynext3_2nd(:)-ynext2(:))) > 1e-14 error('With pruning: inconsistency between local_state_space_iteration_2 and local_state_space_iteration_3 on the 2nd-order pruned variable') end