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BAM Engine: A Modular Python Framework for the BAM Agent-Based Macroeconomic Model

Authors: Ganitis, Konstantinos;

BAM Engine: A Modular Python Framework for the BAM Agent-Based Macroeconomic Model

Abstract

BAM Engine is a high-performance Python framework that implements the BAM (Bottom-Up Adaptive Macroeconomics) agent-based model from "Macroeconomics from the Bottom-up" (Delli Gatti et al., 2011). The model simulates interactions between households, firms, and banks across labor, credit, and consumption goods markets. The framework features an Entity-Component-System (ECS) architecture with vectorized operations for performance and a modular extension system. It includes built-in validation and calibration tools to support reproducible computational economics research.

If you use this software, please cite it along with the original BAM model (Delli Gatti et al., 2011).

Related Organizations
Keywords

computational economics, agent-based computational economics, bottom-up macroeconomics, agent-based modeling, emergent behavior, CATS models, heterogeneous agents, BAM model, macroeconomics, complex adaptive systems

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average