We propose a simple agent-based version of Paul de Grauwe's chaotic exchange rate model. In particular, we assume that each speculator follows his own technical and fundamental trading rule. Moreover, a speculator's choice between these two trading philosophies depends on his individual...

In response to the challenges posed by an increasingly decentralized energy system characterized by a high penetration of renewable energy sources, grid operators are experiencing heightened pressure to effectively manage grid congestion. Concurrently, both the European Union as well as the...

This paper studies the effects of introducing a Central Bank Digital Currency (CBDC) on economic output, bank intermediation and financial stability in a closed economy using an Agentbased Stock Flow Consistent (AB-SFC) Model. Thereby a digital bank run is simulated across various economic...

Different types of mathematical models can be used to forecast the development of diseases as well as associated costs and analyse the cost-effectiveness of interventions. The set of models available to assess these parameters, reach from simple independent equations to highly complex...

Climate change stands as one of the most formidable challenges in the twenty-first century. Despite this, our understanding of the unfolding and interconnection of climate-related physical and transitional risks, and their implications for socioeconomic dynamics along various transition...

The paper examines the macroeconomic effects of fiscal policy under varying economic conditions. The analysis is conducted using a closed-economy agent-based model, where macroeconomic outcomes of fiscal intervention emerge from the bottom up as the result of interactions between heterogeneous...

Climate change and economic inequality are two critical and interlinked global challenges. The feasibility of jointly reducing greenhouse gas emissions and inequality has often been questioned. Here, we aim to test whether a properly designed mix of progressive and environmental fiscal policies...

We develop a macroeconomic agent-based model to study the role of demand and supply factors in determining inflation dynamics. Local interactions of heterogeneous firms and households in the labor and goods markets characterize the model. Asymmetric information implies that firm selection is...

Background: Agriculture plays a key role in Colombia's economy. However, the sector faces persistent logistics, infrastructure, and supply chain integration challenges that hinder its development. While background studies have primarily addressed socio-economic needs and strategies to overcome...

This paper investigates the relationship among transaction taxes, high-frequency trading (HFT), and market quality. We use the agent-based modeling (ABM) approach to dynamically assess the impact of transaction taxes on market quality with and without high-frequency trading. Preliminary tests...

We develop a general equilibrium production network model that spans two periods and incorporates heterogeneous households, firm-specific CobbDouglas production technologies, and a time-to-build mechanism for capital formation. Within this dynamic framework, we establish the existence and...

In this paper, we investigate the classical Axelrod model of cultural dissemination under an adaptive network framework. Unlike the original model, we place agents on a complex network, where they cut connections with any agent that does not share at least one cultural trait. This rewiring...

This paper investigates how social network and conformity dynamics shape the stability of inflation expectations and the dissemination of economic narratives. Using an agent-based macroeconomic simulation, I integrate a heuristic switching framework with an opinion dynamics mechanism to examine...

Simulation modelling has widely been applied in healthcare supply chain management, focusing on blood and vaccine supply chains with less attention on the medicine supply chains. This study presents a systematic review of studies applying simulation methods, namely agent-based modelling,...

This paper investigates the optimal locations of health service facilities during the Hajj, a major temporary city event in Mina, Saudi Arabia, attended by millions of pilgrims. Given the logistical challenges and historical accident risks during this dense gathering, effective placement of...

Agent-Based Models (ABMs) provide powerful tools for economic analysis, capturing microto-macro interactions and emergent properties. However, integration with empirical data has been a persistent challenge. To address it, we propose a protocol for integration between empirical data and ABM,...

This Element is about agent-based macroeconomics in general, and in particular about a family of evolutionary, agent-based models (ABMs), which are called 'Schumpeter meeting Keynes' (or K+S). The K+S models knit together 'Schumpeterian' endogenous processes of innovation with 'Keynesian'...

We extend the Schumpeter meeting Keynes (K+S; see Dosi et al., 2010, 2013, 2015) to model the emergence and the dynamics of an interbank network in the money market. The extended model allows banks to directly exchange funds, while evaluating their interbank positions using a network- based...

The objective of this study is to perform an ex-ante assessment of the potential impacts of agro-environmental measures included in the post-2020 Common Agricultural Policy (CAP), by estimating farmers' responsiveness in adopting organic agricultural practices and an eco-scheme that incentivises...

Artificial intelligence and associated technology advances have progressively diffused from routine tasks to non-routine tasks, causing disruptions in the labour market. In this work, we study the effect of automation on the labour market outcomes for low-skilled and high-skilled workers. We use...