dynare/tests/discretionary_policy/Gali_2015_chapter_3_nonline...

229 lines
8.7 KiB
Modula-2

/*
* This file implements the baseline New Keynesian model of Jordi Galí (2015): Monetary Policy, Inflation,
* and the Business Cycle, Princeton University Press, Second Edition, Chapter 3
*
* Note that this mod-file implements the non-linear first order conditions and that the IRFs show the log-deviations
* from steady state.
*
* THIS MOD-FILE REQUIRES DYNARE 4.5 OR HIGHER
*
* Notes:
* - in the LOM for the discount rate shock z the shock enters with a minus sign in this mod-file to generate the
* IRF to a -0.5% shock
*
* This implementation was written by Johannes Pfeifer. In case you spot mistakes,
* email me at jpfeifer@gmx.de
*
* Please note that the following copyright notice only applies to this Dynare
* implementation of the model.
*/
/*
* Copyright (C) 2016-20 Johannes Pfeifer
* Copyright (C) 2020 Dynare Team
*
* This is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* It is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* For a copy of the GNU General Public License,
* see <https://www.gnu.org/licenses/>.
*/
var C ${C}$ (long_name='Consumption')
W_real ${\frac{W}{P}}$ (long_name='Real Wage')
Pi ${\Pi}$ (long_name='inflation')
A ${A}$ (long_name='AR(1) technology process')
N ${N}$ (long_name='Hours worked')
R ${R^n}$ (long_name='Nominal Interest Rate')
realinterest ${R^{r}}$ (long_name='Real Interest Rate')
Y ${Y}$ (long_name='Output')
Q ${Q}$ (long_name='Bond price')
Z ${Z}$ (long_name='AR(1) preference shock process')
S ${S}$ (long_name='Price dispersion')
Pi_star ${\Pi^*}$ (long_name='Optimal reset price')
x_aux_1 ${x_1}$ (long_name='aux. var. 1 recursive price setting')
x_aux_2 ${x_2}$ (long_name='aux. var. 2 recursive price setting')
MC ${mc}$ (long_name='real marginal costs')
M_real ${M/P}$ (long_name='real money stock')
i_ann ${i^{ann}}$ (long_name='annualized nominal interest rate')
pi_ann ${\pi^{ann}}$ (long_name='annualized inflation rate')
r_real_ann ${r^{r,ann}}$ (long_name='annualized real interest rate')
P ${P}$ (long_name='price level')
log_m_nominal ${log(M)}$ (long_name='log nominal money stock')
log_y ${log(Y)}$ (long_name='log output')
log_W_real ${log(W/P)}$ (long_name='log real wage')
log_N ${log(N)}$ (long_name='log hours')
log_P ${log(P)}$ (long_name='log price level')
log_A ${log(A)}$ (long_name='log technology level')
log_Z ${log(Z)}$ (long_name='log preference shock')
y_hat
pi
;
varexo eps_a ${\varepsilon_a}$ (long_name='technology shock')
eps_z ${\varepsilon_z}$ (long_name='preference shock')
;
parameters alppha ${\alpha}$ (long_name='capital share')
betta ${\beta}$ (long_name='discount factor')
rho_a ${\rho_a}$ (long_name='autocorrelation technology shock')
rho_z ${\rho_{z}}$ (long_name='autocorrelation monetary demand shock')
siggma ${\sigma}$ (long_name='inverse EIS')
varphi ${\varphi}$ (long_name='inverse Frisch elasticity')
phi_pi ${\phi_{\pi}}$ (long_name='inflation feedback Taylor Rule')
phi_y ${\phi_{y}}$ (long_name='output feedback Taylor Rule')
eta ${\eta}$ (long_name='semi-elasticity of money demand')
epsilon ${\epsilon}$ (long_name='demand elasticity')
theta ${\theta}$ (long_name='Calvo parameter')
tau ${\tau}$ (long_name='labor subsidy')
;
%----------------------------------------------------------------
% Parametrization, p. 67 and p. 113-115
%----------------------------------------------------------------
siggma = 1;
varphi=5;
phi_pi = 1.5;
phi_y = 0.125;
theta=3/4;
rho_z = 0.5;
rho_a = 0.9;
betta = 0.99;
eta =3.77; %footnote 11, p. 115
alppha=1/4;
epsilon=9;
tau=0; //1/epsilon;
%----------------------------------------------------------------
% First Order Conditions
%----------------------------------------------------------------
model;
[name='FOC Wages, eq. (2)']
W_real=C^siggma*N^varphi;
[name='Euler equation eq. (3)']
Q=betta*(C(+1)/C)^(-siggma)*(Z(+1)/Z)/Pi(+1);
[name='Definition nominal interest rate), p. 22 top']
R=1/Q;
[name='Aggregate output, above eq. (14)']
Y=A*(N/S)^(1-alppha);
[name='Definition Real interest rate']
R=realinterest*Pi(+1);
% @#if money_growth_rule==0
% [name='Monetary Policy Rule, p. 26 bottom/eq. (22)']
% R=1/betta*Pi^phi_pi*(Y/steady_state(Y))^phi_y;
% @#endif
[name='Market Clearing, eq. (15)']
C=Y;
[name='Technology Shock, eq. (6)']
log(A)=rho_a*log(A(-1))+eps_a;
[name='Preference Shock, p.54']
log(Z)=rho_z*log(Z(-1))-eps_z;
[name='Definition marginal cost']
MC=W_real/((1-alppha)*Y/N*S);
[name='LOM prices, eq. (7)']
1=theta*Pi^(epsilon-1)+(1-theta)*(Pi_star)^(1-epsilon);
[name='LOM price dispersion']
S=(1-theta)*Pi_star^(-epsilon/(1-alppha))+theta*Pi^(epsilon/(1-alppha))*S(-1);
[name='FOC price setting']
Pi_star^(1+epsilon*(alppha/(1-alppha)))=x_aux_1/x_aux_2*(1-tau)*epsilon/(epsilon-1);
[name='Auxiliary price setting recursion 1']
x_aux_1=Z*C^(-siggma)*Y*MC+betta*theta*Pi(+1)^(epsilon+alppha*epsilon/(1-alppha))*x_aux_1(+1);
[name='Auxiliary price setting recursion 2']
x_aux_2=Z*C^(-siggma)*Y+betta*theta*Pi(+1)^(epsilon-1)*x_aux_2(+1);
[name='Definition log output']
log_y = log(Y);
[name='Definition log real wage']
log_W_real=log(W_real);
[name='Definition log hours']
log_N=log(N);
[name='Annualized inflation']
pi_ann=4*log(Pi);
[name='Annualized nominal interest rate']
i_ann=4*log(R);
[name='Annualized real interest rate']
r_real_ann=4*log(realinterest);
[name='Real money demand, eq. (4)']
M_real=Y/R^eta;
[name='definition nominal money stock']
log_m_nominal=log(M_real*P);
[name='Definition price level']
Pi=P/P(-1);
[name='Definition log price level']
log_P=log(P);
[name='Definition log TFP']
log_A=log(A);
[name='Definition log preference']
log_Z=log(Z);
[mcp='a']
y_hat=log(Y)-STEADY_STATE(log(Y));
pi=log(Pi)-STEADY_STATE(log(Pi));
end;
%----------------------------------------------------------------
% Steady state values
%---------------------------------------------------------------
steady_state_model;
A=1;
Z=1;
S=1;
Pi_star=1;
P=1;
MC=(epsilon-1)/epsilon/(1-tau);
R=1/betta;
Pi=1;
Q=1/R;
realinterest=R;
N=((1-alppha)*MC)^(1/((1-siggma)*alppha+varphi+siggma));
C=A*N^(1-alppha);
W_real=C^siggma*N^varphi;
Y=C;
money_growth=0;
money_growth_ann=0;
nu=0;
x_aux_1=C^(-siggma)*Y*MC/(1-betta*theta*Pi^(epsilon/(1-alppha)));
x_aux_2=C^(-siggma)*Y/(1-betta*theta*Pi^(epsilon-1));
log_y = log(Y);
log_W_real=log(W_real);
log_N=log(N);
pi_ann=4*log(Pi);
i_ann=4*log(R);
r_real_ann=4*log(realinterest);
M_real=Y/R^eta;
log_m_nominal=log(M_real*P);
log_P=log(P);
log_A=0;
log_Z=0;
end;
%----------------------------------------------------------------
% define shock variances
%---------------------------------------------------------------
shocks;
var eps_a = 0.5^2; //unit shock to preferences
end;
% steady;
% check;
% stoch_simul;
planner_objective 0.5*((siggma+(varphi+alppha)/(1-alppha))*y_hat^2+epsilon/0.0215*pi^2)/100;
discretionary_policy(order=1,instruments=(R),irf=20,planner_discount=betta, periods=0) y_hat pi_ann log_y log_N log_W_real log_P;
temp=load(['Gali_2015_chapter_3' filesep 'Output' filesep 'Gali_2015_chapter_3_results.mat']);
if abs(oo_.planner_objective_value-temp.oo_.planner_objective_value)>1e-6
warning('Planner objective does not match linear model')
end
if max(max(abs([temp.oo_.irfs.y_eps_a; temp.oo_.irfs.w_real_eps_a; temp.oo_.irfs.n_eps_a; temp.oo_.irfs.pi_ann_eps_a]-...
[oo_.irfs.log_y_eps_a; oo_.irfs.log_W_real_eps_a; oo_.irfs.log_N_eps_a; oo_.irfs.pi_ann_eps_a])))>1e-6
error('Policy is different')
end