This chapter surveys work dedicated to macroeconomic analysis using an agent-based
modeling approach. After a short review of the origins and general characteristics of this …

We consider Bayesian inference techniques for agent-based (AB) models, as an alternative
to simulated minimum distance (SMD). Three computationally heavy steps are involved:(i) …

This paper provides a detailed description of the Eurace@ Unibi model, which has been
developed as a versatile tool for macroeconomic analysis and policy experiments. The …

We are entering the third decade of the twenty-first century with profound uncertainties and
crucial challenges for the world economy. Phenomena like climate change, digital …

This open access book presents a ground-breaking approach to developing micro-
foundations for demography and migration studies. It offers a unique and novel methodology …

Despite recent advances in bringing agent-based models (ABMs) to the data, the estimation
or calibration of model parameters remains a challenge, especially when it comes to large …

Abstract In July 2021, the European Central Bank (ECB) published a new monetary policy
strategy, the first time in 17 years that it had undertaken a review of its monetary policy. In the …

Abstract Agent-based models (ABMs), which model the evolving system through the
interactive behavior of agents, are often challenged by inaccurate estimates. However …

Markets, I argue, matter significantly for macroeconomic development. The reason for this
strange statement is that policy practice in industrialized market economies is routinely …

Agent-based modeling (ABM) is a flexible and simulation-friendly modeling approach.
Ambient-oriented modeling is effective for systems containing ambient and spatial …