Description
This excellent book brings together and extends two decades of work on learning in self-referential equilibrium models in macroeconomics. The discussions presented by George Evans and Seppo Honkapohja are technically superb, well written, and well motivated in terms of content. -- Thomas Sargent, Stanford University and Hoover Institution An important methodological and technical achievement that will set the standard against which all other macroeconomic learning analyses must be measured. Economists need to know how to analyze systems under the recursive learning assumption and what kind of results can be obtained. Evans and Honkapohja have fully worked out methods to analyze the resulting dynamics. -- James Bullard, Assistant Vice President and Economist, Federal Reserve Bank of St. Louis
About the Author
George W. Evans is John B. Hamacher Professor of Economics at the University of Oregon, and has held positions at the London School of Economics, Stanford University, and the University of Edinburgh. Seppo Honkapohja is Professor of Economics at the University of Helsinki, where he has currently been appointed Academy Professor. Professors Evans and Honkapohja have published extensively in economic journals, and each is best known for his respective research on expectations and learning in dynamic models. This book is the outgrowth of over fifteen years of collaboration between them.
Reviews
"An excellent, wide ranging and detailed survey of what is known about the stability under learning of a wide variety of models... [A]n essential reference for researchers."--Margaret Bray, Journal of Economics
Book Information
ISBN 9780691049212
Author George W. Evans
Format Hardback
Page Count 424
Imprint Princeton University Press
Publisher Princeton University Press
Weight(grams) 765g