IRIS is a free, open-source toolbox for macroeconomic modelling and forecasting in Matlab^(R), developed by Jaromir Benes.

Latest updates:

Why is IRIS updated so frequently? IRIS is being developed continually, and it has deliberately very short release and development cycles with rather incremental changes made between releases. Short release cycles allow more flexibility in responding to users' requests, fixing bugs, and making improvements in the under-the-hood plumbing and wiring.

• Documentation
• Download and install
• Highlight of features
• Snapshot gallery
• Knowledge base
• Licence
• Tutorials
• Report bugs
• Training
• Update notes

The primary domain of the toolbox is building and implementing structural macroeconomic models (such as DSGEs or other types of rational-expectations models) and model-aided systems. To this end, the toolbox integrates its core modelling features with infrastructure supporting time series analysis, data management, and reporting.

The core modelling features include

• flexible modelling language;
• full support for both stationary and non-stationary (balanced-growth path) models;
• easy object-oriented access to models, their properties, and diagnostics;
• first-order accurate solutions combined with exact non-linear (perfect-foresight-like) simulation mode;
• combined anticipated and unanticipated information;
• classical and bayesian estimation methods, including an adaptive posterior simulator;
• optimal time-consistent policy;
• conditional and judgmentally adjusted filtering and forecasting;
• full support for multiple parameterisations.

The IRIS infrastructure furthermore provides tools for

• backward-looking econometrics-style models;
• multivariate time series analysis and forecasting (VARs, SVARs, BVARs, and FAVARs);
• time series and database management and processing;
• command-oriented PDF-based reporting.

Check out a more detailed overview of IRIS features.

Copyright © 2007--2011 Jaromir Benes.