/*
* This model shows how to use the  differentiate_forward_vars option to simulate
* perfect foresight models  when the steady state is unknown
* or when the model is very persistent. In this file, we  consider an  RBC model
* with a  CES technology  and  very  persistent  productivity shock. We set the
* autoregressive  parameter of this exogenous productivity  to 0.999, so that
* in period 400 the level of productivity,  after an  initial one percent shock,
* is still  0.67\% above its steady state level.
*
* Written by Stéphane Adjemian. For more information, see
* http://gitlab.ithaca.fr/Dynare/differentiate-forward-variables
*/
var Capital, Output, Labour, Consumption, Efficiency, efficiency, ExpectedTerm;

varexo EfficiencyInnovation;

parameters beta, theta, tau, alpha, psi, delta, rho, effstar, sigma;

/*
** Calibration
*/

beta    =  0.990;
theta   =  0.357;
tau     =  30.000;
alpha   =  0.450;
psi     =  -1.000; // So that the elasticity of substitution between inputs is 1/(1-psi)=1/10
delta   =  0.020;
rho     =  0.999;
effstar =  1.000;
sigma   =  0.010;

model(differentiate_forward_vars);

  // Eq. n°1:
  efficiency = rho*efficiency(-1) + sigma*EfficiencyInnovation;

  // Eq. n°2:
  Efficiency = effstar*exp(efficiency);

  // Eq. n°3:
  Output = Efficiency*(alpha*(Capital(-1)^psi)+(1-alpha)*(Labour^psi))^(1/psi);

  // Eq. n°4:
  Consumption + Capital - Output - (1-delta)*Capital(-1);

  // Eq. n°5:
  ((1-theta)/theta)*(Consumption/(1-Labour)) - (1-alpha)*(Output/Labour)^(1-psi);

  // Eq. n°6:
  (((Consumption^theta)*((1-Labour)^(1-theta)))^(1-tau))/Consumption - ExpectedTerm(1);

  // Eq. n°7:
  ExpectedTerm = beta*((((Consumption^theta)*((1-Labour)^(1-theta)))^(1-tau))/Consumption)*(alpha*((Output/Capital(-1))^(1-psi))+1-delta);

end;

steady_state_model;

  efficiency = 0;
  Efficiency = effstar;

  // Compute some steady state ratios.
  Output_per_unit_of_Capital=((1/beta-1+delta)/alpha)^(1/(1-psi));
  Consumption_per_unit_of_Capital=Output_per_unit_of_Capital-delta;
  Labour_per_unit_of_Capital=(((Output_per_unit_of_Capital/Efficiency)^psi-alpha)/(1-alpha))^(1/psi);
  Output_per_unit_of_Labour=Output_per_unit_of_Capital/Labour_per_unit_of_Capital;
  Consumption_per_unit_of_Labour=Consumption_per_unit_of_Capital/Labour_per_unit_of_Capital;

  // Compute steady state share of capital.
  ShareOfCapital=alpha/(alpha+(1-alpha)*Labour_per_unit_of_Capital^psi);

  // Compute steady state of the endogenous variables.
  Labour=1/(1+Consumption_per_unit_of_Labour/((1-alpha)*theta/(1-theta)*Output_per_unit_of_Labour^(1-psi)));
  Consumption = Consumption_per_unit_of_Labour*Labour;
  Capital = Labour/Labour_per_unit_of_Capital;
  Output = Output_per_unit_of_Capital*Capital;
  ExpectedTerm = beta*((((Consumption^theta)*((1-Labour)^(1-theta)))^(1-tau))/Consumption)*(alpha*((Output/Capital)^(1-psi))+1-delta);

end;


shocks;
var EfficiencyInnovation;
periods 1;
values 1;
end;

steady;
check;
model_info;

perfect_foresight_setup(periods=500);
perfect_foresight_solver;
