This paper surveys the fundamental principles of subjective Bayesian inference in
econometrics and the implementation of those principles using posterior simulation …

This chapter provides a survey of the recent work on learning in the context of
macroeconomics. Learning has several roles. First, it provides a boundedly rational model of …

Agent-based modeling (ABM) is a novel computational methodology for representing the
behavior of individuals in order to study social phenomena. Its use is rapidly growing in …

The explosive growth in computational power over the past several decades offers new tools
and opportunities for economists. This handbook volume surveys recent research on Agent …

The many motivations for employing agent-based computation in the social sciences are
reviewed. It is argued that there exist three distinct uses of agent modeling techniques. One …

An integrated approach to the empirical application of dynamic optimization programming
models, for students and researchers. This book is an effective, concise text for students and …

The major contributions of twentieth century econometrics to knowledge were the definition
of causal parameters within well-defined economic models in which agents are constrained …

Background Computational modeling of cardiovascular flow is a growing and useful field,
but such simulations usually require the researcher to guess the flow's inlet and outlet …

The tremendous development of an easy access to computational power within the last 30
years has led to the widespread use of numerical approaches in almost all scientific …

A rigorous and example-driven introduction to topics in economic dynamics, with an
emphasis on mathematical and computational techniques for modeling dynamic systems …