dynare/tests/trend-component-and-var-models/vm4.mod

53 lines
1.1 KiB
Modula-2

// --+ options: json=compute, stochastic +--
var y x z;
varexo ex ey ez;
parameters a_y_1 a_y_2 b_y_1 b_y_2 b_x_1 b_x_2 ; // VAR parameters
parameters beta e_c_m c_z_1 c_z_2; // PAC equation parameters
a_y_1 = .2;
a_y_2 = .3;
b_y_1 = .1;
b_y_2 = .4;
b_x_1 = -.1;
b_x_2 = -.2;
beta = .9;
e_c_m = .1;
c_z_1 = .7;
c_z_2 = -.3;
var_model(model_name=toto, eqtags=['eq:x', 'eq:y']);
pac_model(auxiliary_model_name=toto, discount=beta, model_name=pacman);
model;
[name='eq:y']
y = a_y_1*y(-1) + a_y_2*diff(x(-1)) + b_y_1*y(-2) + b_y_2*diff(x(-2)) + ey ;
[name='eq:x', data_type='nonstationary']
diff(x) = b_x_1*y(-2) + b_x_2*diff(x(-1)) + ex ;
[name='eq:pac']
diff(z) = e_c_m*(x(-1)-z(-1)) + c_z_1*diff(z(-1)) + c_z_2*diff(z(-2)) + pac_expectation(pacman) + ez;
end;
shocks;
var ex = 1.0;
var ey = 1.0;
var ez = 1.0;
end;
[~, b0] = get_companion_matrix_legacy('toto');
[~, ~, b1] = get_companion_matrix('toto');
if any(abs(b0(:)-b1(:))>1e-9)
error('get_companion_matrix and get_comapnion_matrix_legacy do not return the same AR matrices.')
end