Updated and enhanced tests for block and bytecode options
git-svn-id: https://www.dynare.org/svn/dynare/trunk@3245 ac1d8469-bf42-47a9-8791-bf33cf982152time-shift
parent
aa23ed73e9
commit
614b79cf72
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@ -11,6 +11,12 @@ OCTAVE_MODS = \
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ramst_initval_file.mod \
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example1_varexo_det.mod \
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predetermined_variables.mod \
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block_bytecode/fs2000_simk.mod \
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block_bytecode/fs2000_lu.mod \
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block_bytecode/fs2000_bytecode.mod \
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block_bytecode/ramst.mod \
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block_bytecode/ireland.mod \
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block_bytecode/ls2003.mod \
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k_order_perturbation/fs2000k2a.mod \
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k_order_perturbation/fs2000k2.mod \
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k_order_perturbation/fs2000k_1.mod \
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@ -0,0 +1,7 @@
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// Tests option block + stack_solve_algo = 3 + solve_algo = 1
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// Must be launched after fs2000_simk.mod
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@#define block_bytecode = 1
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@#define solve_algo = 1
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@#define stack_solve_algo = 3
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@#include "fs2000_common.mod"
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@ -0,0 +1,7 @@
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// Tests option block+bytecode
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// Must be launched after fs2000_simk.mod
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@#define block_bytecode = 2
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@#define solve_algo = 5
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@#define stack_solve_algo = 5
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@#include "fs2000_common.mod"
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@ -0,0 +1,91 @@
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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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@#if block_bytecode == 2
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model(block, bytecode);
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@#else
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@# if block_bytecode == 1
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model(block);
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@# else
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model;
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@# endif
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@#endif
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/*0*/ exp(gam+e_a) = dA ;
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/*1*/ log(m) = (1-rho)*log(mst) + rho*log(m(-1))+e_m;
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/*2*/ -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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/*3*/ l/n = W;
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/*4*/ -(psi/(1-psi))*(c*P/(1-n))+l/n = 0;
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/*5*/ R = P*(1-alp)*exp(-alp*(gam+e_a))*k(-1)^alp*n^(-alp)/W;
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/*6*/ 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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/*7*/ 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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/*8*/ P*c = m;
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/*9*/ m-1+d = l;
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/*10*/ e = exp(e_a);
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/*11*/ k(-1)^alp*n^(1-alp)*exp(-alp*(gam+e_a)) = y ;
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/*12*/ gy_obs = dA*y/y(-1);
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/*13*/ 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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e_a=0;
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e_m=0;
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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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options_.maxit_=10;
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steady(solve_algo = @{solve_algo});
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@#if block_bytecode > 0
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model_info;
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@#endif
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shocks;
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var e_a;
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periods 1;
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values 0.16;
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end;
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simul(periods=200, stack_solve_algo = @{stack_solve_algo});
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@#if block_bytecode > 0
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if ~exist('fs2000_simk_results.mat','file');
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error('fs2000_simk must be run first');
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end;
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oo1 = load('fs2000_simk_results','oo_');
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err = max(max(abs(oo_.endo_simul - oo1.oo_.endo_simul)))
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disp(['Max error in simulation: ' num2str(err)])
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if err > 1e-4
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error('Error above the threshold')
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end;
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@#endif
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@ -0,0 +1,7 @@
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// Tests option block + stack_solve_algo = 2 + solve_algo = 3
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// Must be launched after fs2000_simk.mod
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@#define block_bytecode = 1
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@#define solve_algo = 3
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@#define stack_solve_algo = 2
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@#include "fs2000_common.mod"
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@ -0,0 +1,7 @@
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// Tests option block + stack_solve_algo = 1 + solve_algo = 2
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// Must be launched after fs2000_simk.mod
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@#define block_bytecode = 1
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@#define solve_algo = 2
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@#define stack_solve_algo = 1
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@#include "fs2000_common.mod"
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@ -0,0 +1,7 @@
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// Tests option block + stack_solve_algo = 4 + solve_algo = 4
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// Must be launched after fs2000_simk.mod
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@#define block_bytecode = 1
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@#define solve_algo = 4
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@#define stack_solve_algo = 4
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@#include "fs2000_common.mod"
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@ -0,0 +1,4 @@
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@#define block_bytecode = 0
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@#define solve_algo = 2
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@#define stack_solve_algo = 0
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@#include "fs2000_common.mod"
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@ -23,10 +23,7 @@ scy = 0.0040;
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shy = 0.0015;
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shc = 0.0010;
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//model(block, bytecode, cutoff=0);
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model(block,cutoff=0);
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//model(block);
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//model;
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exp(y) = exp(a)*exp(k(-1))^theta*exp(h)^(1-theta);
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a = (1-rho)*aa+rho*a(-1)+e;
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exp(y) = exp(c) + exp(i);
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@ -42,19 +39,6 @@ oh = h + eoh;
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end;
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initval;
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/*a = 1.7;
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y = 8;
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c = 8;
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k = 10;
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i = 5;
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h = 4;
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eoy = 0;
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eoc = 0;
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eoh = 0;
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oy = y;
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oc = c;
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oh = h;
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*/
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e=0;
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eeoy=0;
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eeoc=0;
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@ -79,55 +63,18 @@ options_.dynatol=1e-12;
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options_.maxit_=5;
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options_.slowc=1;
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steady(solve_algo=2);
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//steady;
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options_.dynatol=4e-5;
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//check;
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shocks;
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var e;
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periods 1;
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values 0.02;
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end;
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options_.maxit_=20;
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model_info;
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simul(periods=2000, method=LU/*GMRES*//*bicgstab*/);
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simul(periods=2000, stack_solve_algo = 1);
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rplot y;
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rplot k;
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/*estimated_params;
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theta , 0.22, 0.1, 0.5;
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rho , 0.99, 0.7, 0.9999;
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eta , 1.0051, 1, 1.03;
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gam , 0.0045, 0.001, 0.01;
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aa , 1.8, 0.1, 4;
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r11 , 1.4187, -2, 2;
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r12 , 0.2251, -2, 2;
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r13 , -0.4441, -2, 2;
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r21 , 0.0935, -2, 2;
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r22 , 1.0236, -2, 2;
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r23 , -0.0908, -2, 2;
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r31 , 0.7775, -2, 2;
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r32 , 0.3706, -2, 2;
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r33 , 0.2398, -2, 2;
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scy , 0.0040, -2, 2;
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shy , 0.0015, -2, 2;
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shc , 0.0010, -2, 2;
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stderr e , 0.0056, 0, 0.2;
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stderr eeoy , 0.0070, 0, 0.1;
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stderr eeoc , 0.0069, 0, 0.1;
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stderr eeoh , 0.0018, 0, 0.1;
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end;
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varobs oy oc oh;
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observation_trends;
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oy (log(eta));
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oc (log(eta));
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end;
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estimation(datafile=idata,mode_compute=1,nograph);
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*/
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@ -18,8 +18,6 @@ rho_pies = 0.7;
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model(block, bytecode, cutoff=0);
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//model(sparse);
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//model;
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y = y(+1) - (tau +alpha*(2-alpha)*(1-tau))*(R-pie(+1))-alpha*(tau +alpha*(2-alpha)*(1-tau))*dq(+1) + alpha*(2-alpha)*((1-tau)/tau)*(y_s-y_s(+1))-A(+1);
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pie = exp(-rr/400)*pie(+1)+alpha*exp(-rr/400)*dq(+1)-alpha*dq+(k/(tau+alpha*(2-alpha)*(1-tau)))*y+alpha*(2-alpha)*(1-tau)/(tau*(tau+alpha*(2-alpha)*(1-tau)))*y_s;
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pie = de+(1-alpha)*dq+pie_s;
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@ -54,34 +52,8 @@ var e_ys = 1.89;
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var e_pies = 1.89;
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end;
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/*varobs y_obs R_obs pie_obs dq de;
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estimated_params;
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psi1 , gamma_pdf,1.5,0.5;
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psi2 , gamma_pdf,0.25,0.125;
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psi3 , gamma_pdf,0.25,0.125;
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rho_R ,beta_pdf,0.5,0.2;
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alpha ,beta_pdf,0.3,0.1;
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rr ,gamma_pdf,2.5,1;
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k , gamma_pdf,0.5,0.25;
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tau ,gamma_pdf,0.5,0.2;
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rho_q ,beta_pdf,0.4,0.2;
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rho_A ,beta_pdf,0.5,0.2;
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rho_ys ,beta_pdf,0.8,0.1;
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rho_pies,beta_pdf,0.7,0.15;
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stderr e_R,inv_gamma_pdf,1.2533,0.6551;
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stderr e_q,inv_gamma_pdf,2.5066,1.3103;
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stderr e_A,inv_gamma_pdf,1.2533,0.6551;
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stderr e_ys,inv_gamma_pdf,1.2533,0.6551;
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stderr e_pies,inv_gamma_pdf,1.88,0.9827;
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end;
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estimation(datafile=data_ca1,first_obs=8,nobs=79,mh_nblocks=10,prefilter=1,mh_jscale=0.5,mh_replic=0,nograph);
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*/
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options_.maxit_=100;
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steady;
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steady(solve_algo = 5);
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model_info;
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//check;
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@ -92,12 +64,10 @@ periods 1;
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values 0.5;
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end;
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//simul(periods=200,method=bicgstab);
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simul(periods=20, markowitz=0);
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simul(periods=20, markowitz=0, stack_solve_algo = 5);
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rplot vv;
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rplot ww;
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rplot A;
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rplot pie;
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//stoch_simul(periods=200,order=1);
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@ -23,7 +23,7 @@ end;
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steady;
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check;
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//check;
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shocks;
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var x;
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@ -31,7 +31,7 @@ periods 1 2 3 4;
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values 1.1 1.2 1.3 1.4;
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end;
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simul(periods=200);
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simul(periods=200, stack_solve_algo = 2);
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rplot c;
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rplot k;
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@ -1,118 +0,0 @@
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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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@#define bytecode = 1
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@#define block = 1
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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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@#if block == 1
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@#if bytecode == 1
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model(block, bytecode);
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@#else
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model(block);
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@#endif
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@#else
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model;
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@#endif
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/*0*/ exp(gam+e_a) = dA ;
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/*1*/ log(m) = (1-rho)*log(mst) + rho*log(m(-1))+e_m;
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/*2*/ -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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/*3*/ l/n = W;
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/*4*/ -(psi/(1-psi))*(c*P/(1-n))+l/n = 0;
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/*5*/ R = P*(1-alp)*exp(-alp*(gam+e_a))*k(-1)^alp*n^(-alp)/W;
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/*6*/ 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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/*7*/ 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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/*8*/ P*c = m;
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/*9*/ m-1+d = l;
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/*10*/ e = exp(e_a);
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/*11*/ k(-1)^alp*n^(1-alp)*exp(-alp*(gam+e_a)) = y ;
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/*12*/ gy_obs = dA*y/y(-1);
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/*13*/ 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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e_a=0;
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e_m=0;
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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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options_.maxit_=10;
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@#if bytecode == 1
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steady(solve_algo = 5);
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@#else
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steady(solve_algo = 4);
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@#endif
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model_info;
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@#if block == 0
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check;
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@#endif
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shocks;
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var e_a;
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periods 1;
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values 0.16;
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end;
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@#if block == 1
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@#if bytecode == 1
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simul(periods=200, stack_solve_algo = 5);
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@#else
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simul(periods=200, stack_solve_algo = 1);
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@#endif
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@#else
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simul(periods=200, stack_solve_algo = 0);
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@#endif
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rplot y;
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rplot k;
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rplot c;
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