96 lines
1.9 KiB
Modula-2
96 lines
1.9 KiB
Modula-2
// See fs2000.mod in the examples/ directory for details on the model
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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(block, bytecode);
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model;
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dA = exp(gam+e_a);
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log(m) = (1-rho)*log(mst) + rho*log(m(-1))+e_m;
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-P/(c(+1)*P(+1)*m)+bet*P(+1)*(alp*exp(-alp*(gam+log(e(+1))))*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*c(+1)*P(+1)) = 0;
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c+k = exp(-alp*(gam+e_a))*k(-1)^alp*n^(1-alp)+(1-del)*exp(-(gam+e_a))*k(-1);
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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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check;
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//stoch_simul(irf=0);
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conditional_forecast_paths;
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var gp_obs;
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periods 1 2:5;
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//values 0.05;
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//values 0.98 1.00797;
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values 0.98 0.99;
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//expectation perfect_foresight;
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var gy_obs;
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periods 1 2 3:5;
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//values 0.01 -0.02 0;
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//values 0.85 0.85 0.95;
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values 0.95 0.95 0.99;
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//expectation perfect_foresight;
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end;
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options_.stack_solve_algo = 0;
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options_.maxit_ = 50;
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conditional_forecast(parameter_set=calibration, controlled_varexo=(e_m,e_a), simulation_type = deterministic);
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/*shocks;
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var e_a;
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periods 1 2 3 4 5;
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values -0.0109 -0.0122 -0.0137 -0.0154 -0.0173;
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var e_m;
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periods 1 2 3 4 5;
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values -0.1242 -0.0386 -0.0392 -0.0398 -0.0405;
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end;
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simul(periods=40);*/
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rplot gy_obs;
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rplot gp_obs;
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//if ~(exist('OCTAVE_VERSION') && octave_ver_less_than('3.4.0'))
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//plot_conditional_forecast(periods=10) gy_obs gp_obs;
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//end
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