Hello everyone,

I want to compare the effects of R&D(or another specification) within a DSGE model estimated using the Bayesian method by analyzing the Impulse Response Functions (IRFs). I have then two models: one with R&D and one without. Both models have estimates for structural parameters and shock parameters. To explore the response of variables after a TFP shock in both models,I wanna plot IRFs of each variable for both model in the same figure. Then, my question :

**Should I simply compare these bayesian IRFs by the using it in estimation command?**In this case, I would use the posterior means of the estimated parameters, which are different between the two models, especially for the deep parameters and the TFP shock parameter.**Or should I apply the same size of the TFP shock to both models**(for example, a 0.1 deviation from the steady state), while keeping the other estimates different, and then run`stoch_simul`

in a separate MATLAB file for each model?**Alternatively, should I take both models and use the same set of parameters**(for instance, using the estimated parameters from the R&D model in both models, with the only difference being the R&D equation in the second model), and then run`stoch_simul`

for each model?

Thanks in advance.