The nexus between debt and inequality has attracted considerable scholarly attention in the wake of the global financial crisis. One prominent candidate to explain the striking co-evolution of income inequality and private debt in this period has been the theory of upward-looking consumption...

The global energy crisis that began in fall 2021 and the following spike in energy price constitute a major challenge for the world economy which risks undermining the post-COVID-19 recovery. In this paper, we develop and validate a new macroeconomic agent-based model with an endogenous energy...

Purpose: This paper aims to explore drivers of the effectiveness of risk assessments in risk workshops. Design/methodology/approach: This study uses an agent-based model to simulate risk assessments in risk workshops. Combining the notions of transactive memory and the ideal speech situation,...

We use an agent-based stock-flow consistent model of a closed economy without technological change that considers different classes of households, status consumption and a Minskyan banking sector to analyze the relationship between rising saving rates, the accumulation and distribution of...

Multi-Criteria Decision Analysis (MCDA) is a sub-discipline of operations research that aims to solve multi-objective optimization problems by evaluating competing factors in decision-making. MCDA supports multidimensional decision-making processes through the analysis of diverse inputs at...

Extreme natural hazards represent, together with crises and wars, the most disruptive phenomena for economic activity. Their economic impact has been shown to be remarkable, long-lasting, and growing over time, though the exact mechanisms at stake are challenging to isolate and quantify. As...

Building upon the labour-augmented K+S modelling framework (Dosi et al., 2010, 2017, 2020), we address the analysis of the North-South divide by means of an agent-based model (ABM) endogenously reproducing divergence between two artificial macro-regions characterized by identical initial...

The ambiguity of the empirical results on the relationship between copyright and creativity calls for a better theoretical understanding of the issue, possibly enlarging the analysis to other factors such as technology and copyright enforcement. This paper addresses these complex policy issues...

Fraudulent actions of a trader or a group of traders can cause substantial disturbance to the market, both directly influencing the price of an asset or indirectly by misinforming other market participants. Such behavior can be a source of systemic risk and increasing distrust for the market...

We design a series of simulation-based thought experiments to deductively evaluate the causal effects of various factors on wealth inequality (the distribution) and social mobility (dynamics of the distribution). We find that uncertainty per se can lead to a “natural” degree of inequality...

Experimental and empirical findings suggest that non-pecuniary motivations play a significant role as determinants of taxpayers' decision to comply with the tax authority and shape their perceptions and assessment of the tax code. By contrast, the canonical optimal income taxation model focuses...

We develop an agent-based model of the UK housing market to study the impact of macroprudential policy experiments on key housing market indicators. The heterogeneous nature of this model enables us to assess the effects of such experiments on the housing, rental and mortgage markets not only in...

Prediction Markets (PMs) are markets in which agents trade event contingent assets. Enterprises use PMs to forecast revenues and project deadlines. This paper presents an Agent-based model, called Logarithmic Market Scoring Rule-Automated Market Maker (LMSR-ASM), to evaluate Prediction Markets....

Compliance inspection is a detailed examination procedure for determining compliance of a particular person or organisation with the given set of provisions (in regulations, standards, business rules, etc.). The optimal selection of persons or organisations and provisions for inspection is one...

Countries all around the globe are continuing to restructure their energy markets in various ways. To deal with electricity market challenges, a flexible simulation platform is very important to maintain synchronization between market structure and market players and their behavior. So, for this...

Economic growth in agent- and general equilibrium-based models is the result of wage-led expansion or meta-time mechanisms. Such a modelling approach faces empirical and theoretical pitfalls. There is very little econometric and theoretical support for wage-led growth, while the market clearing...

We are interested in how the relationship between the fee in a constant product market (CPM) and the volatility of the swapped pair on other liquid exchanges influences the losses / gains of the liquidity providers. We review three classical market making models: Glosten and Milgrom, Kyle and...

Abstract. In this work we create a model for a competitive bond market where investors have heterogeneous beliefs regarding the issuers’ future income. The model takes any finite number N of bond issuers and a continuum of investors, exploring different ways in which they can be distributed....

This paper aims at studying the factors generating a number of stylized facts in financial markets using an Agents Based Model. In the presented model, agents individually set a buy/sell order according to both fundamentalist and chartist strategies. The weights given to the two strategies are...

The purpose of this paper is to contribute to a further understanding of the impact of monetary policy shocks on a financial network, which we dub the “financial network channel of monetary policy transmission”. To this aim, we develop an agent-based model (ABM) in which banks extend loans...

In order to explore the impact of information delay and liquidity on the financial market, we propose a delay agent-based model from the perspective of micro evolution in financial market based on the methods of agent-based model and econophysics. Mean escape time and escape rate in econophysics...

The deployment of renewable energy technologies in the home, such as heat pump systems, is increasingly encouraged in many countries to curb climate change and dependence on fossil fuels. However, the adoption process is not well-understood. In this paper, we develop an agent-based model to...

This article deals with nonlinear stochastic uncertain multi-agent systems (MASs) under mixed delays and impulse disturbances and leader-followers and leaderless systems. Based on the Lyapunov Function (LF), stochastic analysis and some inequality scaling skills, asymptotic stability is...

This research proposes an Activity Pattern embedded Air Pollution Exposure Model (AP2EM), based on survey data of when, where, and how people spend their time and indoor/outdoor ratios for microenvironments. AP2EM integrates random forest and agent-based approaches to simulate the stochastic...

We analyze the individual and macroeconomic impacts of heterogeneous expectations and action rules within an agent-based model populated by heterogeneous, interacting firms. Agents have to cope with a complex evolving economy characterized by deep uncertainty resulting from technical change,...

We present first results from a new agent-based model (ABM) of a sports-betting exchange (such as those operated by BetFair, BetDaq, and SMarkets, among other companies) in which each agent holds a dynamically-varying opinion about some uncertain future event (such as which competitor will win a...

The global energy crisis that began in fall 2021 and the following spike in energy price constitute a major challenge for the world economy which risks undermining the post-COVID-19 recovery. In this paper, we develop and validate a new macroeconomic agent-based model with an endogenous energy...

The aim of the paper is to analyze the role of real estate market as dirty money laundering channel for organized crime in Italy. We contribute to the economic literature on house price determinants, providing an agent based model to simulate the price determinants in Italian provincial capital....

This paper addresses the event-triggered consensus tracking control problem of multi-agent systems with unknown dead zones and unknown disturbances, subject to constraints on the agents output. The nonlinear functions are estimated by using the neural networks. Furthermore, a state...