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Learning and Expectations in Macroeconomics (Frontiers of Economic Research)
 
 
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Learning and Expectations in Macroeconomics (Frontiers of Economic Research) [Hardcover]

George W. Evans (Author), Seppo Honkapohja (Author)
4.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

February 1, 2001 0691049211 978-0691049212

A crucial challenge for economists is figuring out how people interpret the world and form expectations that will likely influence their economic activity. Inflation, asset prices, exchange rates, investment, and consumption are just some of the economic variables that are largely explained by expectations. Here George Evans and Seppo Honkapohja bring new explanatory power to a variety of expectation formation models by focusing on the learning factor. Whereas the rational expectations paradigm offers the prevailing method to determining expectations, it assumes very theoretical knowledge on the part of economic actors. Evans and Honkapohja contribute to a growing body of research positing that households and firms learn by making forecasts using observed data, updating their forecast rules over time in response to errors. This book is the first systematic development of the new statistical learning approach.

Depending on the particular economic structure, the economy may converge to a standard rational-expectations or a "rational bubble" solution, or exhibit persistent learning dynamics. The learning approach also provides tools to assess the importance of new models with expectational indeterminacy, in which expectations are an independent cause of macroeconomic fluctuations. Moreover, learning dynamics provide a theory for the evolution of expectations and selection between alternative equilibria, with implications for business cycles, asset price volatility, and policy. This book provides an authoritative treatment of this emerging field, developing the analytical techniques in detail and using them to synthesize and extend existing research.


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Editorial Reviews

Review

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

From the Inside Flap

"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


Product Details

  • Hardcover: 424 pages
  • Publisher: Princeton University Press (February 1, 2001)
  • Language: English
  • ISBN-10: 0691049211
  • ISBN-13: 978-0691049212
  • Product Dimensions: 8.9 x 6.3 x 1.2 inches
  • Shipping Weight: 1.6 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #538,132 in Books (See Top 100 in Books)

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4.0 out of 5 stars vey good book for learning as a starting stage, May 30, 2010
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This review is from: Learning and Expectations in Macroeconomics (Frontiers of Economic Research) (Hardcover)
Very good book to start learning about "learning". However, the mathematical language is not convenient especially the mathematical appendix it is very hard to understand. Not many useful examples and applications. Concentrates too much on recursive and constant gain learning and does not examine other learning algorithms.
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Inside This Book (learn more)
First Sentence:
Modern economic theory recognizes that the central difference between economics and natural sciences lies in the forward-looking decisions made by economic agents. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
sunspot solutions, persistent learning dynamics, formal convergence results, stochastic recursive algorithm, small constant gain, perceptions equilibrium, noisy steady state, multiple stationary solutions, nonstochastic models, stochastic gradient learning, expectational stability, increasing social returns, econometric learning, learning equilibria, adaptive learning approach, minimal state variable, nonstochastic case, cobweb model, distinct steady states, sunspot equilibrium, adaptive learning rules, forecast rule, extended special case, interior steady states, noisy cycles
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Real Business Cycle, Van Huyck, Under Assumptions
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