Hi everyone,
I’m working with a log-linear DSGE modelfor Bayesian estimation. My model includes several observed variables (consumption growth, nominal interest rate, and Inflation), and I face some conceptual and technical challenges in handling:
data_CC = C - C(-1) + TRENDC;
data_IR = R + Rb(IRMEAN);
data_DP = pi +pi_bar(DP MEAN);
My model is specified as log-linear, and all endogenous variables are defined in hat form . However, many of the steady state values in the output are not exactly zero. Could someone help me understand what might be causing this?