The accumulation of new technological capabilities is of high empirical relevance, both for the development of countries and the business success of firms. In this paper, we aim to delineate strategies how these processes of capability accumulation can be considered more accurately in...

After land prices in Germany increased continuously since 2006, policy makers, representatives of farmers' unions, NGOs, and farmers started and continued to discuss or propose new land market regulations to stop price increases and to protect particularly smaller farmers. In this paper we...

We introduce tools to capture the dynamics of three different pathways, in which the synchronization of human decision-making could lead to turbulent periods and contagion phenomena in financial markets. The first pathway is caused when stock market indices, seen as a set of coupled...

The accumulation of new technological capabilities is of high empirical relevance, both for the development of countries and the business success of firms. In this paper, we aim to delineate strategies how these processes of capability accumulation can be considered more accurately in...

The EU's Common Agricultural Policy (CAP) has had limited success in mitigating agriculture's environmental degradation. In this paper we simulate the impacts of the 2013 “greening” reform on biodiversity and ecosystem services in environmentally contrasting landscapes. We do this by...

Industrial Symbiosis (IS) is a collaborative cross-sectoral approach to connect the resource supply and demand of various industries in order to optimize the resource use through exchange of materials, energy, water and human resources across different companies, while generating ecological,...

This paper explores the effects of trade credit by assessing its macroeconomic impacts on several dimensions. To that end, we develop an agent-based model (ABM) with two types of firms: downstream firms, which produce a final good for consumption purposes using intermediate goods, and upstream...

In order to verify the effects of machine learning in a market structure, an evolutionary model containing firms that use a genetic algorithm to decide their investment in innovative R&D was developed. These firms share the market, with two other types of firms, those with a fixed rate of...

This paper presents an Agent-Based Model (ABM) that seeks to explain the concordance of sluggish growth of productivity and of real wages found in macro-economic statistics, and the increased dispersion of firm productivity and worker earnings found in micro level statistics in advanced...

The author set up a simplistic agent-based model where agents learn with reinforcement observing an incomplete set of variables. The model is employed to generate an artificial dataset that is used to estimate standard macro econometric models. The author shows that the results are qualitatively...

We develop an agent-based model of traditional banks and asset managers to investigate the contagion risk related to fire sales and balance sheet interactions. We take a structural approach to the price formation in fire sales as in Bluhm et al. (2014) and introduce a market clearing mechanism...

Over the last decade, agent-based models in economics have reached a state of maturity that brought the tasks of statistical inference and goodness-of-fit of such models on the agenda of the research community. While most available papers have pursued a frequentist approach adopting either...

This paper represents the first attempt to bridge the evolutionary theory in economics and the theory of active particles in mathematics. It seeks to present a kinetic model for an evolutionary formalization of socio-economic systems. The derived new mathematical formulation intends to formalize...

Agent-based computational economics (ACE) is gaining interest in macroeconomic research. Agent-based models (ABM) are increasingly able to replicate micro- and macroeconomic stylised facts and to extend the knowledge about real-world economic systems. These advances allow ABM to become a...

The persistently low and (partly) negative output growth in Germany in 2019 evoked memories of the recent global economic crisis and, by this, sparked debates about measures to counter the growing number of unemployed, for example changing the generosity of unemployment benefits (UB) and...

In this paper, we study the effects of industrial policies on international convergence using a multi-country agent-based model which builds upon Dosi et al. (2019b). The model features a group of microfounded economies, with evolving industries, populated by heterogeneous firms that compete in...

We develop a stock-flow-consistent macroeconomic model with an agent-based focus on corporate credit markets, including a securitization process. Against the background of increased corporate indebtedness, our interest is in quantifying contagion effects that endogenously arise from corporate...

We propose a simple agent-based computational model in which speculators' trading behavior may cause bubbles and crashes, excess volatility, serially uncorrelated returns, fat-tailed return distributions and volatility clustering, thereby replicating five important stylized facts of stock...

Volatility clustering and fat tails are prominently observed in financial markets. Here, we analyze the underlying mechanisms of three agent-based models explaining these stylized facts in terms of market instabilities and compare them on empirical grounds. To this end, we first develop a...

Small-scale irrigation has been identified as a potential adaptation strategy for climate change and boosting food security and livelihoods in dry regions. This study presents the analysis of the potential adoption of small-scale irrigation in two West African countries (Mali and Niger) by using...

Small-scale irrigation has been identified as a potential adaptation strategy for climate change and boosting food security and livelihoods in dry regions. This study presents the analysis of the potential adoption of small-scale irrigation in two West African countries (Mali and Niger) by using...

Purpose - This paper aims at developing a behavioral agent-based model for interacting financial markets. Additionally, the effect of imposing Tobin taxes on market dynamics is explored. Design/methodology/approach - The agent-based approach is followed to capture the highly complex, dynamic...

With a smart grid environment, flexible load devices and provided local price incentives a more efficient grid usage may be achieved in the future. Bidirectional communication, smart devices and shiftable loads as electric vehicles and heat pumps have the potential to be coordinated with local...

After land prices in Germany increased continuously since 2006, policy makers, representatives of farmers' unions, NGOs, and farmers started and continued to discuss or propose new land market regulations to stop price increases and to protect particularly smaller farmers. In this paper we...

In this article, cross-border effects of different market design options are analyzed using Switzerland as a case study, which is strongly interconnected to larger neighboring markets. An investigation is conducted with an agentbased model where in one scenario all market designs are represented...

We develop a macroeconomic agent-based model to study how financial instability can emerge from the co-evolution of interbank and credit markets and the policy responses to mitigate its impact on the real economy. The model is populated by heterogenous firms, consumers, and banks that locally...

Since social dilemmas among n-persons are often embedded in other types of social exchanges, the exclusion of defectors in social dilemmas from other exchanges functions as a costless selective incentive. Recently, such “linkage” has been considered as a promising solution to resolve the...

Following the global financial crisis, many countries have introduced or tightened macroprudential policies. Using an agentbased model (ABM), this paper seeks to measure the impact on house price cycles of two distinct borrower-based macroprudential instruments, namely loan-to-income and...

Modeling the diffusion of innovations is a very challenging task, as there are various influencing factors to consider. At the same time, insights into the diffusion process can help decision makers to detect weak points of potential business models. In the literature, various models and...

We assess the effects of regulatory caps in the loan-to-value (LTV) ratio using agent-based models (ABMs). Our approach builds upon a straightforward ABM where we model the interactions of sellers, buyers and banks within a computational framework that enables the application of LTV caps. The...