Modern macroeconomic theory is the study of dynamic general equilibrium economic models. Models are defined broadly and allow for situations where markets do not always clear and where prices do not necessarily adjust instantaneously. This text provides an introduction to the study of such models: time can either be modelled in a discrete or continuous fashion, and the environment may be either deterministic or stochastic — this generality accommodates both business cycle and economic growth modelling.
The purpose of the book is to teach first the tools employed in modern macroeconomic theory and second the topics most often encountered in macroeconomic debate. While the focus of the textbook is on macroeconomic modelling, the tools that are employed can also be applied to other fields in economics; for example, natural resource and environmental economics and industrial organization. Throughout the text the reader is exposed to both methodology and applications — the scope and reach of a reader's own modelling is of course entirely a function of her own ingenuity with economic questions of interest.
Contents:
- Preface
- Introduction
- Deterministic Dynamics
- Stochastic System in Discrete Time
- Exogenous Growth
- Endogenous Growth
- Real Business Cycles
- New-Keynesian Business Cycles
- Asset Pricing
- Overlapping Generations Models
- Heterogeneous Agent Models
- Non-Linear Methods and Applications
Readership: Graduate and advanced undergraduate students in Macroeconomics; researchers and practitioners in the fields of Theoretical and Applied Macroeconomics and Computational Economics.
Chetan Dave is a Professor of Economics at the University of Alberta. He received his PhD in Economics from the University of Pittsburgh in 2004. His teaching and research areas lie within the fields of macroeconomics, econometrics, experimental and behavioral economics. His work has been published in leading journals such as the European Economic Review, Review of Economic Dynamics, Journal of Economic Dynamics & Control, Games and Economic Behavior, among others.
Marco M Sorge is Associate Professor of Economic Policy at the University of Salerno (Italy), Affiliate Professor at the University of Göttingen (Germany) and Research Fellow at the Center for Studies in Economics and Finance (Italy). He received his PhD in Quantitative Economics from the Bonn Graduate School of Economics (BGSE) in 2011. His teaching and research areas are computational economics, dynamic macroeconomics, and political economy. Specific research interests focus on identification/estimation issues inherent in Dynamic Stochastic General Equilibrium (DSGE) frameworks in the presence of information heterogeneities, and on theoretical mechanisms underlying wealth inequality and the evolution of wealth distributions. His work has been published in leading journals such as the European Economic Review, the Journal of Economic Dynamics & Control, Economics & Politics, and Economic Theory, among others.