20 June 2017

Sebastian Poledna gave a talk on Economic Forecasting with an Agent-Based Model

Sebastian Poledna presented IIASA research on application of a large-scale agent-based model to economic forecasting at the seminar organized by Complexity Hub Vienna.

© ESB Professional | Shutterstock

© ESB Professional | Shutterstock

The macroeconomic agent-based model developed at IIASA models the complete national economy of Austria
with all institutional sectors (households, non-financial corporations, financial corporations, and a general
government) and is empirically calibrated to actual macro and micro data. The model simultaneously fits observed macroeconomic variables, stylized facts, and (some) observed distributions between agents on the micro-level.


We develop an agent-based model (ABM) for the Austrian economy using data from national accounts, input-output tables, government statistics, census data, and business surveys. The model incorporates all economic activities (producing and distributive transactions) as classified by the European system of accounts (ESA). All economic entities, i.e. all juridical and natural persons, are represented by agents (at a scale of 1:10). We show that this model is able to compete with vector autoregressive (VAR) and autoregressive–moving-average (ARMA) models in out-of-sample prediction. Potential applications of this ABM include economic forecasting, as well as the prediction of responses of the economy to endogenous shocks, e.g. from the financial system, or exogenous shocks like natural disasters, transformative technological innovations, or unintended consequences of political interventions such as subsidies and tax policies.

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Last edited: 14 July 2017


Sebastian Poledna

Acting Research Group Leader

Exploratory Modeling Of Human-Natural Systems Research Group

T +43(0) 2236 807 261


Poledna, S., Miess, M.G., & Hommes, C.H. (2020). Economic Forecasting with an Agent-Based Model. IIASA Working Paper. Laxenburg, Austria: WP-20-001

Poledna, S., Miess, M.G., & Hommes, C.H. (2019). Economic Forecasting with an Agent-Based Model. SSRN Electronic Journal 10.2139/ssrn.3484768.

Lalith, M., Gill, A., Poledna, S., Hori, M., Hikaru, I., Tomoyuki, N., Koyo, T., & Ichimura, T. (2019). Distributed Memory Parallel Implementation of Agent-Based Economic Models. In: Lecture Notes in Computer Science. pp. 419-433 Faro, Portugal: Springer. 10.1007/978-3-030-22741-8_30.

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International Institute for Applied Systems Analysis (IIASA)
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