// This file deals with the resolution and estimation of a basic DSGE model with
//employment for comparison with the benchmark in Gauss which solves with
//the same particular filter but global methodology.
//
// January 2010

var k A c l i y;
varexo e_a;

parameters alp bet tet tau delt rho ;
alp = 0.4;
bet = 0.99;
tet = 0.357 ;
tau = 50 ;
delt = 0.02;
rho = 0.95;

model;
c = ((1 - alp)*tet/(1-tet))*A*(1-l)*((k(-1)/l)^alp);
y = A*(k(-1)^alp)*(l^(1-alp)) ;
i = y-c ;
k = (1-delt)*k(-1) + i ;
log(A) = rho*log(A(-1)) + e_a ;
(((c^(tet))*((1-l)^(1-tet)))^(1-tau))/c - bet*((((c(+1)^(tet))*((1-l(+1))^(1-tet)))^(1-tau))/c(+1))*(1 -delt+alp*(A(1)*(k^alp)*(l(1)^(1-alp)))/k)=0 ;
end;

shocks;
var e_a; stderr 0.035;
end;

steady;

stoch_simul;

save dsge_base2.mat oo_ M_ options_;
close all, clc;