Added integration tests.
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@ -188,10 +188,12 @@ MODFILES = \
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simul/simul_ZLB_purely_forward_no_solution.mod \
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simul/Irreversible_investment.mod \
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simul/linear_state_space_arma.mod \
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conditional_forecasts/1/fs2000_cal.mod \
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conditional_forecasts/2/fs2000_est.mod \
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conditional_forecasts/3/fs2000_conditional_forecast_initval.mod \
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conditional_forecasts/4/fs2000_conditional_forecast_histval.mod \
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conditional_forecasts/5/fs2000_cal.mod \
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conditional_forecasts/6/fs2000_cal.mod \
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recursive/ls2003.mod \
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recursive/ls2003_bayesian.mod \
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recursive/ls2003_bayesian_xls.mod \
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@ -0,0 +1,82 @@
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// 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;
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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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steady_state_model;
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dA = exp(gam);
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gst = 1/dA;
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m = mst;
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khst = ( (1-gst*bet*(1-del)) / (alp*gst^alp*bet) )^(1/(alp-1));
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xist = ( ((khst*gst)^alp - (1-gst*(1-del))*khst)/mst )^(-1);
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nust = psi*mst^2/( (1-alp)*(1-psi)*bet*gst^alp*khst^alp );
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n = xist/(nust+xist);
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P = xist + nust;
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k = khst*n;
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l = psi*mst*n/( (1-psi)*(1-n) );
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c = mst/P;
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d = l - mst + 1;
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y = k^alp*n^(1-alp)*gst^alp;
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R = mst/bet;
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W = l/n;
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ist = y-c;
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q = 1 - d;
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e = 1;
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gp_obs = m/dA;
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gy_obs = dA;
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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 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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var gp_obs;
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periods 1:7;
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values 0.05;
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end;
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conditional_forecast(parameter_set=calibration, controlled_varexo=(e_a,e_m));
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plot_conditional_forecast(periods=10) gy_obs gp_obs;
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