K-step-ahead Kalman predictions

by Jaromir Benes

This post is about the 'ahead' option available in the IRIS Kalman filter, and the associated plotpred function.

LaTeX not found?

by Jaromir Benes

Got LaTeX installed on your computer, and still IRIS cannot find it? No problem. You can always fix it manually.

SSTATE function and SSTATE objects

by Jaromir Benes

Calculating the steady state of a non-linear model – or its balanced-growth path, for that matter – is sometimes a bit of challenge in which you can (and often really need to) play all sorts of tricks. In IRIS, there are two basic ways how to handle and tame steady states.

Forecasts how we like them

by Jaromir Benes

Practitioners know that a good forecast is about a good story in the first place and – contrary to popular belief – not so much about very accurate numbers. And also that good forecasts can only be produced by putting together a large amount of information that has often little to do with a particular model itself while still using that model, and not by pushing a button on a black box. In other words, we usually need to add lots of various types of judgmental adjustments (or tunes, or whatever we call them) to our models and forecasts. In this post, I show a simple taxonomy of judgmental adjustments (JAs) that are available in IRIS.