IIASA-MacroABM 1st Workshop

MacroABMs generate the relevant macro-aggregates of a national economy from the micro-founded behavior of heterogeneous agents. They have the potential to enrich the toolboxes of policy institutions such as central banks, enabling finer analyses of monetary and fiscal policies.

The MacroABM developed at IIASA, described in Poledna et al. (2023), competes with state-of-the-art standard models in forecasting and uses publicly available data for calibrations. It is gaining momentum and has recently been adopted by the Bank of Canada (CANVAS) to enrich its in-house macroeconomic models. The code has been re-implemented on various platforms, and the model is being extended and reworked in several directions.

The goal of this workshop is to bring together scientists and practitioners who develop, use, or are interested in using the model in any of its versions. We aim to exchange successes and failures, good practices, and ideas.

Participants are from academic research institutions (IIASA, Oxford INET, University of Macerata, University of Tokyo, Vienna University of Economics and Business, etc.), policy-oriented research institutions (ETRI, IHS, WIFO, wiiw, etc.), policy institutions (Bank of Canada, Bank of Italy, Bank of Spain, Hungarian Central Bank, OECD, etc.), and private companies.

To participate, please register as per the contacts below by 5 April at the latest. Please note that the number of participants is limited.

For ONLINE participation, please contact Luca.

Contacts

Please contact the organizers: Celian Colon ([email protected]) and Luca Fierro ([email protected]). Please use both addresses.