Learning and Expectations in Macroeconomics (eBook)

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2012
424 Seiten
Princeton University Press (Verlag)
978-1-4008-2426-7 (ISBN)

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Learning and Expectations in Macroeconomics -  George W. Evans,  Seppo Honkapohja
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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.
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 "e;rational bubble"e; 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.

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.

Erscheint lt. Verlag 6.1.2012
Reihe/Serie Frontiers of Economic Research
Verlagsort Princeton
Sprache englisch
Themenwelt Geschichte Teilgebiete der Geschichte Wirtschaftsgeschichte
Technik
Wirtschaft Allgemeines / Lexika
Wirtschaft Volkswirtschaftslehre Finanzwissenschaft
Wirtschaft Volkswirtschaftslehre Makroökonomie
Schlagworte Adaptive Expectations • Adaptive Expectations Hypothesis • Adaptive Learning • algorithm • approximation algorithm • asymptotic analysis • Asymptotic Distribution • Autoregressive model • Bayesian inference • Behavioral Economics • budget constraint • Calculation • central limit theorem • Cobweb model • Competitive equilibrium • Computational Economics • conditional expectation • Coordination failure (economics) • Cost–benefit analysis • Cost curve • Demand curve • differential equation • Econometric model • Economic bubble • Economic equilibrium • Economic Policy • Economics • economist • Eigenvalues and Eigenvectors • Endogenous Growth Theory • Equation • Equilibrium Point • estimation • Estimation theory • Estimator • Exchange Rate • Financial Economics • Fiscal Policy • Fixed exchange-rate system • Forecast Error • Forecasting • General Equilibrium Theory • General Linear Model • Inflation • Inflation Targeting • Initial Value Problem • Interest Rate • IS–LM model • Jacobian matrix and determinant • Large-scale macroeconometric model • Learning effect (economics) • learning rule • Least Squares • Linearization • linear model • linear regression • local convergence • Log-linear Model • Macroeconomic model • Macroeconomics • Marginal product • Market Economy • Market Price • Markov Chain • Markov process • Martingale difference sequence • Mathematical Optimization • Method of undetermined coefficients • Moment matrix • monetary policy • Monte Carlo Method • Nash Equilibrium • Nominal interest rate • nonlinear system • Offer curve • optimization problem • Overlapping Generations Model • Parameter • Preference (economics) • price level • Probability • Probability Distribution • Production Function • Quantity theory of money • Rational Expectations • Real business-cycle theory • Recursion (computer science) • Special case • Stability Theory • state variable • stochastic approximation • Stochastic Calculus • stochastic differential equation • Stochastic process • Stochastic Simulation • Supply and Demand • Supply (economics) • Technical progress (economics) • Valuation (finance) • Variable (mathematics)
ISBN-10 1-4008-2426-5 / 1400824265
ISBN-13 978-1-4008-2426-7 / 9781400824267
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