v4.1 tests for AIM: modified for automatic verification
git-svn-id: https://www.dynare.org/svn/dynare/trunk@2521 ac1d8469-bf42-47a9-8791-bf33cf982152time-shift
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// This file replicates the estimation of the CIA model from
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// Frank Schorfheide (2000) "Loss function-based evaluation of DSGE models"
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// Journal of Applied Econometrics, 15, 645-670.
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// the data are the ones provided on Schorfheide's web site with the programs.
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// http://www.econ.upenn.edu/~schorf/programs/dsgesel.ZIP
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// You need to have fsdat.m in the same directory as this file.
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// This file replicates:
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// -the posterior mode as computed by Frank's Gauss programs
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// -the parameter mean posterior estimates reported in the paper
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// -the model probability (harmonic mean) reported in the paper
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// This file was tested with dyn_mat_test_0218.zip
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// the smooth shocks are probably stil buggy
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//
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// The equations are taken from J. Nason and T. Cogley (1994)
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// "Testing the implications of long-run neutrality for monetary business
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// cycle models" Journal of Applied Econometrics, 9, S37-S70.
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// Note that there is an initial minus sign missing in equation (A1), p. S63.
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//
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// Michel Juillard, February 2004
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//Model with up to 10 lags and leads up to 9 - but not all, with some missing
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//Model with up to 10 lags and leads up to 9 - but not all, with some missing
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@ -74,23 +55,6 @@ end;
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steady;
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steady;
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check;
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estimated_params;
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alp, beta_pdf, 0.356, 0.02;
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bet, beta_pdf, 0.993, 0.002;
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gam, normal_pdf, 0.0085, 0.003;
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mst, normal_pdf, 1.0002, 0.007;
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rho, beta_pdf, 0.129, 0.223;
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psi, beta_pdf, 0.65, 0.05;
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del, beta_pdf, 0.01, 0.005;
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stderr e_a, inv_gamma_pdf, 0.035449, inf;
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stderr e_m, inv_gamma_pdf, 0.008862, inf;
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end;
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varobs gp_obs gy_obs;
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options_.useAIM = 0;
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options_.useAIM = 0;
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//stoch_simul m P c e W R k l y
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stoch_simul(order=1,irf=0);
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estimation(datafile=fsdat,nobs=192,loglinear,mh_replic=2000,mh_nblocks=5,mh_jscale=0.8);
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//Model with up to 10 lags and leads up to 9 - but not all, with some missing
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var m P c e W R k d n l gy_obs gp_obs y dA;
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varexo e_a e_m;
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parameters alp bet gam mst rho psi del;
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alp = 0.33;
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bet = 0.99;
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gam = 0.003;
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mst = 1.011;
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rho = 0.7;
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psi = 0.787;
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del = 0.02;
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model;
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dA = exp(gam+e_a); % missing 0.06*m(-4) and +0.25*m(-2)
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log(m) = (1-rho)*log(mst) + rho*log(0.75*m(-1)+0.13*m(-3)+0.09*m(-5)+0.015*m(-6)+0.007*m(-7)+0.004*m(-8)+0.003*m(-9)+0.001*m(-10))+e_m;
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-P/(((1.3*c(+1)+c(+5)+0.7*c(+9))*(1.3*P(+1)+P(+5)+0.7*P(+9)))*m/9)+bet*((1.3*P(+1)+P(+5)+0.7*P(+9))/3)*(alp*exp(-alp*(gam+log((1.3*e(+1)+e(+5)+0.7*e(+9))/3)))*k^(alp-1)*n(+1)^(1-alp)+(1-del)*exp(-(gam+log(e(+1)))))/(c(+2)*P(+2)*m(+1))=0;
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W = l/n;
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-(psi/(1-psi))*(c*P/(1-n))+l/n = 0;
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R = P*(1-alp)*exp(-alp*(gam+e_a))*k(-1)^alp*n^(-alp)/W;
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1/(c*P)-bet*P*(1-alp)*exp(-alp*(gam+e_a))*k(-1)^alp*n^(1-alp)/(m*l* (1.3*c(+1)+c(+5)+0.7*c(+9))*(1.3*P(+1)+P(+5)+0.7*P(+9))/9) = 0;
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c+k = exp(-alp*(gam+e_a))*k(-1)^alp*n^(1-alp)+(1-del)*exp(-(gam+e_a)*4)*k(-4);
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P*c = m;
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m-1+d = l;
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e = exp(e_a);
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y = k(-1)^alp*n^(1-alp)*exp(-alp*(gam+e_a));
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gy_obs = dA*y/y(-1);
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gp_obs = (P/P(-1))*m(-1)/dA;
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end;
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initval;
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k = 6;
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m = mst;
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P = 2.25;
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c = 0.45;
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e = 1;
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W = 4;
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R = 1.02;
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d = 0.85;
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n = 0.19;
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l = 0.86;
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y = 0.6;
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gy_obs = exp(gam);
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gp_obs = exp(-gam);
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dA = exp(gam);
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end;
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shocks;
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var e_a; stderr 0.014;
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var e_m; stderr 0.005;
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end;
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steady;
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options_.useAIM = 1;
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stoch_simul(order=1,irf=0);
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benchmark = load('fs2000x10_L9_L_results');
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if max(max(abs(benchmark.oo_.dr.ghx-dr.ghx) > 1e-12));
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exit('error in ghx');
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elseif max(max(abs(benchmark.oo_.dr.ghu-dr.ghu) > 1e-12));
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exit('error in ghy');
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end;
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