Agent‐based models (ABMs) have recently seen much application to the field of climate
mitigation policies. They offer a more realistic description of micro behavior than traditional …

Agent-based modeling (ABM) is a novel computational methodology for representing the
behavior of individuals in order to study social phenomena. Its use is rapidly growing in …

The paper moves from a discussion of the challenges posed by the crisis to standard
macroeconomics and the solutions adopted within the DSGE community. Although several …

The advent of artificial intelligence has led to a growing emphasis on data-driven modeling
in macroeconomics, with agent-based modeling (ABM) emerging as a prominent bottom-up …

Abstract The Great Recession seems to be a natural experiment for economic analysis, in
that it has shown the inadequacy of the predominant theoretical framework-the New …

The stock‐flow consistent (SFC) modelling approach, grounded in the pioneering work of
Wynne Godley and James Tobin in the 1970s, has been adopted by a growing number of …

Macroeconomic modelling has been under intense scrutiny since the Great Financial Crisis,
when serious shortcomings were exposed in the methodology used to understand the …

This work studies the relations between income distribution and monetary/fiscal policies
using an credit-augmented version of the agent-based Keynesian model in Dosi et …

The advent of the Web has brought about a paradigm shift in traditional economics,
particularly in the digital economy era, enabling the precise recording and analysis of …

In this paper we present and discuss a Macroeconomic Agent-Based Model with Capital and
Credit (CC-MABM) which builds upon the framework put forward by Delli Gatti et al.(2011) …