Updated examples.
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@ -37,4 +37,19 @@ diff(z) = e_c_m*(x(-1)-z(-1)) + c_z_1*diff(z(-1)) + c_z_2*diff(z(-2)) + pac_exp
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end;
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get_companion_matrix('toto');
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shocks;
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var ex = 1.0;
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var ey = 1.0;
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var ez = 1.0;
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end;
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get_companion_matrix('toto', 'pacman');
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// Update the parameters of the PAC expectation model (h0 and h1 vectors).
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pac.update.equation('pacman');
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// Set initial conditions to zero. Please use more sensible values if any...
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initialconditions = dseries(zeros(10, M_.endo_nbr+M_.exo_nbr), 2000Q1, vertcat(M_.endo_names,M_.exo_names));
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// Simulate the model for 500 periods
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TrueData = simul_backward_model(initialconditions, 500);
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@ -47,7 +47,7 @@ end;
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// Build the companion matrix of the VAR model (toto).
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get_companion_matrix('toto');
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get_companion_matrix('toto', 'pacman');
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// Update the parameters of the PAC expectation model (h0 and h1 vectors).
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pac.update.equation('pacman');
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@ -39,4 +39,20 @@ diff(z) = e_c_m*(x(-1)-z(-1)) + c_z_1*diff(z(-1)) + c_z_2*diff(z(-2)) + pac_exp
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end;
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get_companion_matrix('toto');
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shocks;
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var ey = 1.0;
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var ex = 1.0;
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var ez = 1.0;
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end;
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// Build the companion matrix of the VAR model (toto).
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get_companion_matrix('toto', 'pacman');
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// Update the parameters of the PAC expectation model (h0 and h1 vectors).
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pac.update.equation('pacman');
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// Set initial conditions to zero. Please use more sensible values if any...
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initialconditions = dseries(zeros(10, M_.endo_nbr+M_.exo_nbr), 2000Q1, vertcat(M_.endo_names,M_.exo_names));
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// Simulate the model for 500 periods
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TrueData = simul_backward_model(initialconditions, 500);
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