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NK_baseline.mod: handle forgotten parameter dependence

time-shift
Johannes Pfeifer 2017-05-26 10:17:01 +02:00
parent 4195033561
commit a940bed446
2 changed files with 6 additions and 5 deletions
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10
examples/NK_baseline.mod
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@ -155,18 +155,18 @@ sigma_m =-5.85;
Lambdamu=3.4e-3; Lambdamu=3.4e-3;
LambdaA = 2.8e-3; LambdaA = 2.8e-3;
LambdaYd= (LambdaA+alppha*Lambdamu)/(1-alppha);
/* /*
The following parameters are set in the steady state file as they depend on other The following parameters are set in the steady state file as they depend on other
deep parameters that were estimated in the original study. Setting them in the deep parameters (some were estimated in the original study). Setting them in the
steady state file means they are updated for every parameter draw in the MCMC steady state file means they are updated for every parameter draw in the MCMC
algorithm, while the parameters initialized here are only set once for the initial algorithm, while the parameters initialized here are only set once for the initial
values of the parameters they depend on: values of the parameters they depend on:
gammma1 as it depends on LambdaA, alppha, Lambdamu, betta, and delta gammma1=mu_z*mu_I/betta-(1-delta);
Rbar =0 as it depends on PI, LambdaA, alppha, Lambdamu, and betta R=1+(PIbar*mu_z/betta-1);
Lambdax Lambdax=exp(LambdaYd);
LambdaYd= (LambdaA+alppha*Lambdamu)/(1-alppha);
*/ */

1
examples/NK_baseline_steadystate.m
View File

@ -36,6 +36,7 @@ d=1;
phi=1; phi=1;
m=0; m=0;
zeta=1; zeta=1;
LambdaYd= (LambdaA+alppha*Lambdamu)/(1-alppha);
mu_z=exp(LambdaYd); mu_z=exp(LambdaYd);
mu_I=exp(Lambdamu); mu_I=exp(Lambdamu);
mu_A=exp(LambdaA); mu_A=exp(LambdaA);