This essay discusses the potential relevance of artificial life research for the study of economic processes.

Agent-based computational economics (ACE) is roughly defined as the computational study of economies modeled as evolving decentralized systems of autonomous interacting agents. A key focus of ACE research is understanding how global regularities arise from the bottom up, through the repeated...

This study discusses the potential applicability of Agent-based Computational Economics (ACE) for macroeconomic modeling, with a particular stress on the following three issues: (1) taxonomy - what types of agents for macroeconomic models?; (2) scale robustness - how many agents for...

This study provides a basic introduction to agent-based modeling (ABM) as a powerful blend of classical and constructive mathematics, with a primary focus on its applicability for social science research.  The typical goals of ABM social science researchers are discussed along with the...

This paper evaluates New Keynesian models using RBC methods for a number of key macroeconomic variables. Its main findings are that the NK model provides a good description of the behaviour of real variables but performs very poorly when nominal variables are considered. The latter result is...

This paper presents and estimates a sticky-price model with heterogenous households and financial frictions. Frictions in state-contingent asset markets lead to imperfect risk-sharing among households with idiosyncratic labor incomes. I study the impacts of the introduced financial frictions on...

Assessing the state of the economy in real time is critical for policy-making, and understanding the risks to those assessments is equally important. Policy-makers are typically provided with point forecasts that contain insufficient information about risks. In contrast, predictive densities...

In this paper, the authors develop a new tool to improve the short-term forecasting of real GDP growth in the euro area and Japan. This new tool, which uses unrestricted mixed-data sampling (U-MIDAS) regressions, allows an evaluation of the usefulness of a wide range of indicators in predicting...