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This valuable book contributes substantively to the current state-of-the-art of macroeconomics. It provides a method for building models in which business cycles and economic growth emerge from the interactions of a large number of heterogeneous agents. Drawing from recent advances in agent-based computational modeling, the authors show how insights from dispersed fields can be fruitfully combined to improve our understanding of macroeconomic dynamics.
Simulation is used in economics to solve large econometric models, for large-scale micro simulations, and to obtain numerical solutions for policy design in top-down established models. But these applications fail to take advantage of the methods offered by artificial economics (AE) through artificial intelligence and distributed computing. AE is a bottom-up and generative approach of agent-based modelling developed to get a deeper insight into the complexity of economics. AE can be viewed as a very elegant and general class of modelling techniques that generalize numerical economics, mathematical programming and micro simulation approaches. The papers presented in this book address methodological questions and applications of AE to macroeconomics, industrial organization, information and learning, market dynamics, finance and financial markets.
This book arose from our conviction that the NNS-DSGE approach to the analysis of aggregate market outcomes is fundamentally flawed. The practice of overcoming the SMD result by recurring to a fictitious RA leads to insurmountable methodological problems and lies at the root of DSGE models’ failure to satisfactorily explain real world features, like exchange rate and banking crises, bubbles and herding in financial markets, swings in the sentiment of consumers and entrepreneurs, asymmetries and persistence in aggregate variables, and so on. At odds with this view, our critique rests on the premise that any modern macroeconomy should be modeled instead as a complex system of heterogeneous i...
This book presents the contributions to the first Wild@Ace conference. The acronym stands for OC Workshop on Industrial and Labor Dynamics OCo The Agent-Based Computational AproachOCO, and it has been the first event ever focusing on the very promising use of the agent-based simulation approach for investigation of labor economics and industrial organization issues. Agent-based models are computer models in which a multitude of agents OCo each embodied in a specific software code OCo interact. These agents can represent individuals households, firms, institutions, etc. Moreover, OC specialOCO agents can be added to observe and monitor individual and collective behavior. One of the main purpo...
This book is a collection of eleven papers concerned with the effects of market imperfections on the decision-making of economic agents and on economic policies that try to correct the inefficient market outcomes due to those imperfections. As a consequence, real and financial imperfections are related : economic decisions are simultaneously affected by imperfections present both in real and financial markets. Notwithstanding the obvious fact that market interdependence is not novel, scholar interests are typically concentrated on the specific relationship among economic decisions originating from particular imperfections. This explains why, in the case of perfect financial markets, we can speak of "the" us.
As the American economy surged in the 1990s, economic sociology made great strides as well. Economists and sociologists worked across disciplinary boundaries to study the booming market as both a product and a producer of culture, tracing the correlations they saw between economic and social phenomena. In the process, they debated the methodological issues that arose from their interdisciplinary perspectives. The New Economic Sociology provides an overview of these debates and assesses the state of the burgeoning discipline. The contributors summarize economic sociology's accomplishments to date, identifying key theoretical problems and opportunities, and formulating strategies for future re...
Provides a framework to demonstrate how to unify formal, theoretical and empirical analysis through various interdisciplinary examples.
Econophysics applies the methodology of physics to the study of economics. However, whilst physicists have good understanding of statistical physics, they may be unfamiliar with recent advances in statistical conjectures, including Bayesian and predictive methods. Equally, economists with knowledge of probabilities do not have a background in statistical physics and agent-based models. Proposing a unified view for a dynamic probabilistic approach, this book is useful for advanced undergraduate and graduate students as well as researchers in physics, economics and finance. The book takes a finitary approach to the subject, discussing the essentials of applied probability, and covering finite Markov chain theory and its applications to real systems. Each chapter ends with a summary, suggestions for further reading, and exercises with solutions at the end of the book.
Understanding the mechanism of a socio-economic system requires more than an understanding of the individuals that comprise the system. It also requires understanding how individuals interact with each other, and how the agg- gated outcome can be more than the sum of individual behaviors. This book contains the papers fostering the formation of an active multi-disciplinary community on socio-economic systems with the exciting new ?elds of age- based modeling and econophysics. We especially intend to increase the awareness of researchers in many ?elds with sharing the common view many economic and social activities as collectives of a large-scale heterogeneous and interacting agents. Economis...
This book presents a survey of the aspects of economic complexity, with a focus on foundational, interdisciplinary ideas. The long-awaited follow up to his 2011 volume Complex Evolutionary Dynamics in Urban-Regional and Ecologic-Economic Systems: From Catastrophe to Chaos and Beyond, this volume draws together the threads of Rosser’s earlier work on complexity theory and its wide applications in economics and an expanded list of related disciplines. The book begins with a full account of the broader categories of complexity in economics--dynamic, computational, hierarchical, and structural--before shifting to more detailed analysis. The next two chapters address problems associated with co...