I am continuing to build a standard DSGE model (specifically, the simple three equation New Keynesian DSGE model) using information equilibrium (and maximum entropy). In part 1, I summarized the references and built a "Taylor rule". In this installment, I will use the Euler equation to derive the "IS curve". I'll assume rational expectations for simplicity at first (one can drop the E's), but will add some discussion at the end.
Let's start with the information equilibrium relationship between (real) output and (real) consumption Y⇄C. This tells us that
or in log-linear form y=1σc. I took the information transfer index to be 1/σ so that we end up something that might be recognizable by economists. Now let's import the maximum entropy condition relating two periods of consumption at time t and t+1 from this post:
or in log-linear form ct+1=ct+rt. Substituting output y, defining the real interest rate in terms of the nominal interest rate i and expected inflation rt≡it−πt+1, and rearranging we obtain:
And there we have the NK IS curve. We can add in the expectation operators if you'd like:
And this is where the information equilibrium version of the IS curve has a different interpretation. The information equilibrium model can be viewed as a transfer of information from the future to the present. We can interpret the "expected" value as the ideal information transfer value, and deviations from that as non-ideal information transfer. The value added by this interpretation is that instead of rational expectations where the deviation from the expected value has some zero-mean distribution, we generally have e.g. prices that will be bounded from above by the ideal information equilibrium solution. Here's an example using interest rates:
We could think of the E operators as a warning: this variable may come in below expectations due to coordinations (financial panic, recession). Therefore, we should think of the information equilibrium NK DSGE model as a bound on a dynamic system, not necessarily the real result. With this in mind, it is no wonder DSGE models would work well for the great moderation but fail during a massive coordination event.
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Update
Here's the summary with links to each part.
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Update
Here's the summary with links to each part.
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