Journal of Economic Behavior and Organization (Journal)

Activity: Editorial work and peer-reviewEditor of Special Issue/Edited Volume

Description

Special issue information:

We are pleased to announce a call for papers on “Complex system approaches to 21st century challenges: inequality, climate change, and new technologies”.

As the global economy undergoes major transformations, including the transition to net-zero carbon emissions, shifts in demographic patterns and inequality, and structural change caused by new technologies, there is a pressing need to understand the economic and political implications of these changes and provide policy guidance. Complexity economics provides a promising framework for addressing these issues, as it models the behavior of boundedly rational agents and the institutions and networks that shape and constrain these behaviors. Agent-based models, in particular, offer a flexible and realistic approach to model the decisions and interactions of agents, and can easily incorporate the institutional details of economic policies.

We encourage submissions from a wide range of disciplines, including economics, political science, sociology, psychology, and computer science. We are seeking papers that carefully establish the empirical and practical relevance of complexity economics, such as data-driven agent-based models, network analyses, and machine learning approaches. Topics for submission include, but are not limited to, the following areas:

The transition to net-zero and its impacts on production, financial systems and labor markets
Inequality and political polarization
Financial stability, systemic risk and causes of market malfunction
Innovation and drivers of economic growth
Macroeconomics and endogenous business cycles
Technological change and its impacts on the labor market
Effects of heterogenous agents, e.g. firm-level models of production, urban and labor market models with detailed synthetic populations, mobility networks, etc.
New methods in complexity economics, e.g. applications of machine learning and natural language to studying the economy from a complexity perspective
Period20232025
Type of journalAcademic
ISSN0167-2681
Degree of RecognitionInternational