This text provides an introduction to the modern theory of economic dynamics, with emphasis on mathematical and computational techniques for modeling dynamic systems. Written to be both rigorous and engaging, the book shows how sound understanding of the underlying theory leads to effective algorithms for solving real world problems. The material makes extensive use of programming examples to illustrate ideas. These programs help bring to life the abstract concepts in the text. Background in computing and analysis is offered for readers without programming experience or upper-level mathematics. Topics covered in detail include nonlinear dynamic systems, finite-state Markov chains, stochastic dynamic programming, stochastic stability and computation of equilibria. The models are predominantly nonlinear, and the emphasis is on studying nonlinear systems in their original form, rather than by means of rudimentary approximation methods such as linearization. Much of the material is new to economics and improves on existing techniques. For graduate students and those already working in the field, Economic Dynamics will serve as an essential resource.
About the Author
John Stachurski is Professor of Economics at the Research School of Economics, Australian National University. He is a winner of the IJET Lionel McKenzie Prize, awarded to young authors who have made outstanding contributions to economic theory. His research is published in such leading journals as Econometrica, the Journal of Economic Theory and the Journal of Economic Dynamics and Control.
—William A. Brock, Vilas Research Professor of Economics, The University of Wisconsin, Madison
—Roger Farmer, Department of Economics, UCLA
—Costas Azariadis, Mallinckrodt University Professor and Director, Center for Dynamic Economics, Washington University, St. Louis
—Leonard J. Mirman, Department of Economics, University of Virginia