Can anybody help me please to understand something related to using Calvo price setting equations in Dynare?
By looking at Iacoviello Matteo 's replication codes, I realized that he always directly puts the log-linear (deviation from steady state) form of the Phillips curve in the non-linear forms of models programmed in Dynare.
In other words, instead of writing the non linear forms of Calvo price setting equations, he rather usually uses the linear Phillips curve while In my understanding we should use non-linear price setting equations in the models written as non-linears in Dynare.
I would like to know the rationale behind such a mixture of programming styles. Why do he uses this mixture? What are the implications on the model simulation results? Do this has no implications in terms of IRFs regardless the order of approximation?
Thank you in advance,
Thank you for your reply. This has been helpful.
However, I programmed my model using the recusive form of the calvo price setting case, but the link between interest rate and inflation doesn’t work well regardless the parameters. Precisely, a hike in interest rate implies for example an increase in inflation. Where does this could come from? Herewith the simple version of the model.
Thanks in advance.
Simple model.zip (553.8 KB)
A rise in interest rates is contractionary and should decrease inflation. So where is the problem?
Sorry I did a mistake in my question, it is the opposite that the code provides.
I updated it: a hike in interest rate implies for example an increase in inflation. Where does this could come from? Herewith the simple version of the model.
Many thanks in advance for your reply
That is hard to tell. If you think there is no economic reason for this, there must be a mistake somewhere. I can only give you the general advice to simplify the model and see where the problem comes from
Ok many thanks Johannes.