87 lines
2.7 KiB
Modula-2
87 lines
2.7 KiB
Modula-2
var Capital, Output, Labour, Consumption, Investment, Output1, Labour1, Consumption1, Output2, Labour2, Consumption2, Efficiency, efficiency, ExpectedTerm, LagrangeMultiplier;
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varexo EfficiencyInnovation;
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parameters beta, theta, tau, alpha, psi, delta, rho, effstar, sigma;
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/*
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** Calibration
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*/
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beta = 0.990;
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theta = 0.357;
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tau = 2.000;
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alpha = 0.450;
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psi = -0.200;
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delta = 0.020;
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rho = 0.800;
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effstar = 1.000;
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sigma = 0.100;
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model(use_dll);
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efficiency = rho*efficiency(-1) + sigma*EfficiencyInnovation;
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Efficiency = effstar*exp(efficiency);
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(((Consumption1^theta)*((1-Labour1)^(1-theta)))^(1-tau))/Consumption1 -LagrangeMultiplier - beta*ExpectedTerm(1) + LagrangeMultiplier(1)*beta*(1-delta);
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ExpectedTerm = ((((Consumption^theta)*((1-Labour)^(1-theta)))^(1-tau))/Consumption)*(alpha*((Output/Capital(-1))^(1-psi))+1-delta);
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LagrangeMultiplier = max((((Consumption^theta)*((1-Labour)^(1-theta)))^(1-tau))/Consumption - beta*ExpectedTerm(1) + LagrangeMultiplier(1)*beta*(1-delta),0);
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((1-theta)/theta)*(Consumption1/(1-Labour1)) - (1-alpha)*(Output1/Labour1)^(1-psi);
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Output1 = Efficiency*(alpha*(Capital(-1)^psi)+(1-alpha)*(Labour1^psi))^(1/psi);
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Consumption2 = Output2;
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((1-theta)/theta)*(Consumption2/(1-Labour2)) - (1-alpha)*(Output2/Labour2)^(1-psi);
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Output2 = Efficiency*(alpha*(Capital(-1)^psi)+(1-alpha)*(Labour2^psi))^(1/psi);
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Consumption = (Output1 > Consumption1)*Consumption1 + (1-(Output1 >= Consumption1))*Consumption2;
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Labour = (Output1 > Consumption1)*Labour1 + (1-(Output1 >= Consumption1))*Labour2;
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Output = (Output1 > Consumption1)*Output1 + (1-(Output1 >= Consumption1))*Output2;
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Capital = Output-Consumption + (1-delta)*Capital(-1);
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Investment = Capital - (1-delta)*Capital(-1);
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end;
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// Write analytical steady state file (without globals)
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options_.steadystate_flag = 2;
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copyfile('rbc_steady_state.m','rbc_steadystate2.m');
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shocks;
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var EfficiencyInnovation = 1;
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end;
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steady(nocheck);
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//options_.ep.stochastic.algo=1;
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set_dynare_seed('default');
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ts0 = extended_path(oo_.steady_state, 100, [], options_, M_, oo_);
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//options_.simul.maxit = 100;
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//options_.ep.verbosity = 0;
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//options_.ep.stochastic.order = 0;
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//options_.ep.stochastic.nodes = 3;
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//options_.console_mode = 0;
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options_.ep.stochastic.order = 1;
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options_.ep.IntegrationAlgorithm='Tensor-Gaussian-Quadrature';
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set_dynare_seed('default');
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ts1 = extended_path([], 100, [], options_, M_, oo_);
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options_.ep.stochastic.order = 2;
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set_dynare_seed('default');
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ts2 = extended_path([], 100, [], options_, M_, oo_);
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options_.ep.stochastic.order = 3;
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set_dynare_seed('default');
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ts3 = extended_path([], 100, [], options_, M_, oo_);
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