Dear Dynare Team,
with the publication “Guide for specifying…” and the forum posts I was capable of transforming the data to match the variables of a log-linearized model by removing the trend via log difference and demeaning.
However, I would like to gain a better understanding of what I’m actually doing instead of solely replicating the necessary steps.
I hope, one of you can answer me the following questions:
- The observation equation for output is dy=y-y(-1). This makes sense to me since we have to match the GDP growth rate dy with the model variables (that is (log(y)-log(y(-1)).
However, I don’t understand why the observation equation for inflation is infobs=inf.
For inflation we also apply the log difference and demean it right? So we would also get the growth rate of Inflation. Why isn’t it infobs=inf-inf(-1) ? What is the difference between Output and Inflation?
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Is it correct that the interest rate is not trending and thus we only apply logs instead of log differences and demean it?
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If we want to estimate Bayesian irfs, do we usually estimate y,inf,i or is it common to estimate dy,infobs,iobs – again: what is the difference ?
I’ve read the Remark of Figure 10 in “An Introduction to Graphs in Dynare” but I don’t understand what output do we get for each of the two types
- Is the output of bayesian estimation (Graphs for Bayesian Irfs) given in basis points? E.g. inflation decreased by 30 basis points below steady state ?
Thank you very much for help and clarification!
Johanna