Recognising that the economy is a complex system with boundedly rational interacting agents, applies complexity modelling to economics and finance.

Recognising that the economy is a complex system with boundedly rational interacting agents, applies complexity modelling to economics and finance.

The first step-by-step introduction to the methodology of agent-based models in economics, their mathematical and statistical analysis, and real-world applications.

Modern macroeconomics has been based on the paradigm of the rational individual capable of understanding the complexity of the world. This has created a very shallow theory of the business cycle in which nothing happens in the macroeconomy unless shocks occur from outside. Behavioural Macroeconomics: Theory and Policy uses a different paradigm. It assumes that individual agents experience cognitive limitations preventing them from having rational expectations. Instead these individuals use simple rules of behaviour. Behavioural Macroeconomics introduces rationality by allowing individuals to learn from their mistakes and to switch to the rules that perform better. It introduces the idea of endogenously generated "animals spirits" that drive the business cycle and are in turn influenced by it, and applies this model to shed new light on a number of important issues. It analyses the role of fiscal policy in stabilizing the economy while maintaining debt sustainability; expands the model to include a banking sector and show how banks amplify the booms and busts; and explains how animal spirits help to synchronize the business cycles across countries. The model set out in Behavioural Macroeconomics leads to very different policy implications from the mainstream macroeconomic model. It shows how policymakers have a responsibility to stabilize an otherwise unstable system.

This book pursues a nonlinear approach in considering both chaotic dynamical models and agent-based simulation models of economics, as well as their dynamical behaviors. Three key concepts arising in this context are “nonlinearity,” “bounded rationality” and “heterogeneity,” which also make up the title of the book. Nonlinearity is the warp that runs throughout all models because systems that exhibit chaotic or other complex behavior in the absence of any exogenous disturbances are absolutely nonlinear. Bounded rationality constitutes the woof, because economic systems do not exhibit complex behavior if all agents are perfectly rational, as is usually assumed in neoclassical economics. Agents who are boundedly rational have to struggle to do their best with limited information and tend to adapt to their economic environment without knowing what is the best. Furthermore, the heterogeneity of firms or consumers dyes the fabric of complex dynamics woven from the warp and woof.

An introductory overview of the methods, models and interdisciplinary links of artificial economics. Addresses the differences between the assumptions and methods of artificial economics and those of mainstream economics. This is one of the first books to fully address, in an intuitive and conceptual form, this new way of doing economics.