101 lines
3.3 KiB
Modula-2
101 lines
3.3 KiB
Modula-2
// Tests perfect_foresight_with_expectation_errors_{setup,solver} with constant_simulation_length option
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var c k;
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varexo x;
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parameters alph gam delt bet aa;
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alph=0.5;
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gam=0.5;
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delt=0.02;
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bet=0.05;
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aa=0.5;
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model;
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c + k - aa*x*k(-1)^alph - (1-delt)*k(-1);
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c^(-gam) - (1+bet)^(-1)*(aa*alph*x(+1)*k^(alph-1) + 1 - delt)*c(+1)^(-gam);
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end;
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initval;
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x = 1;
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k = ((delt+bet)/(1.0*aa*alph))^(1/(alph-1));
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c = aa*k^alph-delt*k;
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end;
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steady;
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check;
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// Save initial steady state (it will be modified by pfwee)
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orig_steady_state = oo_.steady_state;
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orig_exo_steady_state = oo_.exo_steady_state;
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perfect_foresight_with_expectation_errors_setup(periods = 7, datafile = 'pfwee.csv');
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perfect_foresight_with_expectation_errors_solver(constant_simulation_length);
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pfwee_simul = oo_.endo_simul;
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// Now compute the solution by hand to verify the results
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oo_.steady_state = orig_steady_state;
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oo_.exo_steady_state = orig_exo_steady_state;
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perfect_foresight_setup;
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verbatim;
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% Information arriving in period 1 (temp shock now)
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oo_.exo_simul(2,1) = 1.2;
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oo_=perfect_foresight_solver(M_, options_, oo_, true);
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% Information arriving in period 2 (temp shock now + permanent shock in future)
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oo_.exo_simul(3,1) = 1.3;
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oo_.exo_steady_state = 1.1;
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oo_.exo_simul(9:10, 1) = repmat(oo_.exo_steady_state', 2, 1);
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oo_.steady_state = evaluate_steady_state(oo_.steady_state, oo_.exo_steady_state, M_, options_, true);
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oo_.endo_simul(:, 10) = oo_.steady_state;
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saved_endo = oo_.endo_simul(:, 1);
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saved_exo = oo_.exo_simul(1, :);
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oo_.endo_simul = oo_.endo_simul(:, 2:end);
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oo_.exo_simul = oo_.exo_simul(2:end, :);
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oo_=perfect_foresight_solver(M_, options_, oo_, true);
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oo_.endo_simul = [ saved_endo oo_.endo_simul ];
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oo_.exo_simul = [ saved_exo; oo_.exo_simul ];
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% Information arriving in period 3 (temp shock now + permanent shock in future)
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oo_.exo_simul(4,1) = 1.4;
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oo_.exo_steady_state = 1.2;
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oo_.exo_simul(9:11, 1) = repmat(oo_.exo_steady_state', 3, 1);
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oo_.steady_state = evaluate_steady_state(oo_.steady_state, oo_.exo_steady_state, M_, options_, true);
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oo_.endo_simul(:, 11) = oo_.steady_state;
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saved_endo = oo_.endo_simul(:, 1:2);
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saved_exo = oo_.exo_simul(1:2, :);
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oo_.endo_simul = oo_.endo_simul(:, 3:end);
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oo_.exo_simul = oo_.exo_simul(3:end, :);
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oo_=perfect_foresight_solver(M_, options_, oo_, true);
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oo_.endo_simul = [ saved_endo oo_.endo_simul ];
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oo_.exo_simul = [ saved_exo; oo_.exo_simul ];
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% Information arriving in period 6 (permanent shock arriving now)
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oo_.exo_simul(7,1) = 1.1;
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oo_.exo_simul(8,1) = 1.1;
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oo_.exo_steady_state = 1.1;
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oo_.exo_simul(9:14, 1) = repmat(oo_.exo_steady_state', 6, 1);
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oo_.endo_simul(:, 12:13) = repmat(oo_.steady_state, 1, 2);
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oo_.steady_state = evaluate_steady_state(oo_.steady_state, oo_.exo_steady_state, M_, options_, true);
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oo_.endo_simul(:, 14) = oo_.steady_state;
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saved_endo = oo_.endo_simul(:, 1:5);
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saved_exo = oo_.exo_simul(1:5, :);
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oo_.endo_simul = oo_.endo_simul(:, 6:end);
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oo_.exo_simul = oo_.exo_simul(6:end, :);
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oo_=perfect_foresight_solver(M_, options_, oo_, true);
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oo_.endo_simul = [ saved_endo oo_.endo_simul ];
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oo_.exo_simul = [ saved_exo; oo_.exo_simul ];
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% We should have strict equality with first pfwee simulation, because algorithm
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% and guess values are exactly the same.
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if any(any(pfwee_simul-oo_.endo_simul ~= 0))
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error('Error in perfect_foresight_with_expectation_errors')
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end
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end; // verbatim
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