This 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 like the microeconomics of capital market
imperfections, industrial dynamics and the theory of stochastic
processes can be fruitfully combined to improve our understanding of
macroeconomic dynamics. This book should be a valuable resource for all
researchers interested in analyzing macroeconomic issues without
recurring to a fictitious representative agent.