Hi Prof,
- If I opt for normalizing a variable in the SS then is it possible to set a corresponding parameter using both the normalized variable and data/ratios rather than purely set the parameter within the model (as in @jpfeifer replication of King and Rebello 1999 ?
For example: P_N=\omega \frac{C^T}{C^N}
If I nomalized P_N and then using \frac{C^T}{C^N} along with P_N to set \omega to achieve the normalization is a valid approach ?
- Another calibration issue is when the model does not comprise a government sector and/or capital is fixed, then whenever their relevant ratios shows up in the calibration process, I should account for these ratios although they are not present in the model ? That is:
To calibrate \psi using the FOC: (1+r) = (C_t)^\psi
If I used the identity TB_t= Y_t-C_t-I_t-G_t)
then:
(1+r)^{1/\psi} = (Y-I-G -TB)
(1+r)^{1/\psi} /Y= 1-I/Y-G_t/Y -TB_t/Y
Then in order to calibrate \psi should I account for G/Y and I/Y despite they are not present in the model ?
Thank you so much.