userguide: added models directory for examples

git-svn-id: https://www.dynare.org/svn/dynare/dynare_v4@1289 ac1d8469-bf42-47a9-8791-bf33cf982152
time-shift
michel 2007-05-20 08:34:56 +00:00
parent fae587c119
commit 117b9d3bf9
4 changed files with 515 additions and 0 deletions

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% Basic RBC Model with Monopolistic Competion.
%
% Jesus Fernandez-Villaverde
% Philadelphia, March 3, 2005
%----------------------------------------------------------------
% 0. Housekeeping
%----------------------------------------------------------------
close all
%----------------------------------------------------------------
% 1. Defining variables
%----------------------------------------------------------------
var y c k i l y_l w r z;
varexo e;
parameters beta psi delta alpha rho gamma sigma epsilon;
%----------------------------------------------------------------
% 2. Calibration
%----------------------------------------------------------------
alpha = 0.33;
beta = 0.99;
delta = 0.023;
psi = 1.75;
rho = 0.95;
sigma = (0.007/(1-alpha));
epsilon = 10;
%----------------------------------------------------------------
% 3. Model
%----------------------------------------------------------------
model;
(1/c) = beta*(1/c(+1))*(1+r(+1)-delta);
psi*c/(1-l) = w;
c+i = y;
y = (k(-1)^alpha)*(exp(z)*l)^(1-alpha);
w = y*((epsilon-1)/epsilon)*(1-alpha)/l;
r = y*((epsilon-1)/epsilon)*alpha/k;
i = k-(1-delta)*k(-1);
y_l = y/l;
z = rho*z(-1)+e;
end;
%----------------------------------------------------------------
% 4. Computation
%----------------------------------------------------------------
initval;
k = 9;
c = 0.76;
l = 0.3;
w = 2.07;
r = 0.03;
z = 0;
e = 0;
end;
shocks;
var e = sigma^2;
end;
steady;
stoch_simul(periods=1000,irf=0,simul_seed=3);
datatomfile('simuldataRBC',[]);
return;

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var y c k i l y_l w r z;
varexo e;
parameters beta psi delta alpha rho epsilon;
model;
(1/c) = beta*(1/c(+1))*(1+r(+1)-delta);
psi*c/(1-l) = w;
c+i = y;
y = (k(-1)^alpha)*(exp(z)*l)^(1-alpha);
w = y*((epsilon-1)/epsilon)*(1-alpha)/l;
r = y*((epsilon-1)/epsilon)*alpha/k;
i = k-(1-delta)*k(-1);
y_l = y/l;
z = rho*z(-1)+e;
end;
varobs y;
estimated_params;
alpha, beta_pdf, 0.35, 0.02;
beta, beta_pdf, 0.99, 0.002;
delta, beta_pdf, 0.025, 0.003;
psi, beta_pdf, 1.75, 0.02;
rho, beta_pdf, 0.95, 0.05;
epsilon, beta_pdf, 10, 0.003;
stderr e, inv_gamma_pdf, 0.01, inf;
end;
estimation(datafile=simuldataRBC,nobs=200,first_obs=500,mh_replic=2000,mh_nblocks=2,mh_drop=0.45,mh_jscale=0.8);

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var y c k i l y_l w r ;
varexo z;
parameters beta psi delta alpha rho sigma epsilon;
alpha = 0.33;
beta = 0.99;
delta = 0.023;
psi = 1.75;
rho = 0.95;
sigma = (0.007/(1-alpha));
epsilon = 10;
model;
(1/c) = beta*(1/c(+1))*(1+r(+1)-delta);
psi*c/(1-l) = w;
c+i = y;
y = (k(-1)^alpha)*(exp(z)*l)^(1-alpha);
w = y*((epsilon-1)/epsilon)*(1-alpha)/l;
r = y*((epsilon-1)/epsilon)*alpha/k;
i = k-(1-delta)*k(-1);
y_l = y/l;
end;
initval;
k = 9;
c = 0.7;
l = 0.3;
w = 2.0;
r = 0;
z = 0;
end;
steady;
check;
shocks;
var z;
periods 1:9;
values 0.1;
end;
simul(periods=2100);

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% Basic RBC Model with Monopolistic Competion.
%
% Jesus Fernandez-Villaverde
% Philadelphia, March 3, 2005
%----------------------------------------------------------------
% 0. Housekeeping
%----------------------------------------------------------------
close all
%----------------------------------------------------------------
% 1. Defining variables
%----------------------------------------------------------------
var y c k i l y_l w r z;
varexo e;
parameters beta psi delta alpha rho gamma sigma epsilon;
%----------------------------------------------------------------
% 2. Calibration
%----------------------------------------------------------------
alpha = 0.33;
beta = 0.99;
delta = 0.023;
psi = 1.75;
rho = 0.95;
sigma = (0.007/(1-alpha));
epsilon = 10;
%----------------------------------------------------------------
% 3. Model
%----------------------------------------------------------------
model;
(1/c) = beta*(1/c(+1))*(1+r(+1)-delta);
psi*c/(1-l) = w;
c+i = y;
y = (k(-1)^alpha)*(exp(z)*l)^(1-alpha);
w = y*((epsilon-1)/epsilon)*(1-alpha)/l;
r = y*((epsilon-1)/epsilon)*alpha/k;
i = k-(1-delta)*k(-1);
y_l = y/l;
z = rho*z(-1)+e;
end;
%----------------------------------------------------------------
% 4. Computation
%----------------------------------------------------------------
initval;
k = 9;
c = 0.76;
l = 0.3;
w = 2.07;
r = 0.03;
z = 0;
e = 0;
end;
shocks;
var e = sigma^2;
end;
steady;
stoch_simul(dr_algo=0, hp_filter = 1600, order = 1);
%----------------------------------------------------------------
% 5. Some Results
%----------------------------------------------------------------
statistic1 = 100*sqrt(diag(oo_.var(1:8,1:8)))./oo_.mean(1:8);
table('Relative standard deviations in %',strvcat('VARIABLE','REL. S.D.'),lgy_(1:8,:),statistic1,10,8,4)