Bounded Rationality in Macroeconomics: The Arne Ryde Memorial LecturesClarendon Press, 1993 - 184 Seiten How do people behave in new situations in which previous experience is not useful? The recent changes in Eastern Europe, for example, are unprecedented and there is not an available model on which to base the mechanisms that will govern the economics in this region. The concept of "bounded (orlimited) rationality" is being developed to analyze behavior in such situations. In this book Thomas Sargent describes and interprets the recent work in the area, especially in statistics, econometrics, networks and artificial intelligence. He focuses on examples designed to illustrate the issuesinvolved and the kinds of questions that are being asked and answered in this research. He points to further potential positive developments of the theory as well as some of its limitations. |
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Seite 43
The Arne Ryde Memorial Lectures Thomas J. Sargent. Nonlinear least squares Suppose that we want to fit the nonlinear regression model Yt = g ( xt , ß ) + Et , using the sample { yt , xt } 1 . In population , our problem is to choose ẞ to ...
The Arne Ryde Memorial Lectures Thomas J. Sargent. Nonlinear least squares Suppose that we want to fit the nonlinear regression model Yt = g ( xt , ß ) + Et , using the sample { yt , xt } 1 . In population , our problem is to choose ẞ to ...
Seite 57
... nonlinear least squares problem . The literature on perceptrons describes various algo- rithms of the iterative form wt = wt − 1 + Yt ▽ S ( wt - 1 , xt ) ( yt - S ( w'1_1x1 ) ) , Wt - 1 where { } is a nonincreasing sequence of ...
... nonlinear least squares problem . The literature on perceptrons describes various algo- rithms of the iterative form wt = wt − 1 + Yt ▽ S ( wt - 1 , xt ) ( yt - S ( w'1_1x1 ) ) , Wt - 1 where { } is a nonincreasing sequence of ...
Seite 159
... nonlinear least squares . I report the results for nonlinear least squares . Kuan and Liu discuss how the ' on - line ' algorithm can be used to make several passes through the data , with the final estimates from the last pass being ...
... nonlinear least squares . I report the results for nonlinear least squares . Kuan and Liu discuss how the ' on - line ' algorithm can be used to make several passes through the data , with the final estimates from the last pass being ...
Inhalt
INTRODUCTION | 1 |
DATA STRUCTURES | 35 |
Estimated parameters | 45 |
Urheberrecht | |
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Bounded Rationality in Macroeconomics: The Arne Ryde Memorial Lectures Thomas J. Sargent Keine Leseprobe verfügbar - 1993 |
Häufige Begriffe und Wortgruppen
adaptive algorithms adaptive expectations applied economists Arifovic behavior beliefs bounded rationality boundedly rational agents Bray's model chapter Chung combinatorial optimization compute converges to rational decision rules deterministic system distribution dynamics 14 econometric econometricians Economic Dynamics eigenvalue environment equation example exchange rate fast adaptive agents Federal Reserve Figure fixed point forecast function G₁ genetic algorithm global implementation induce dynamics inflation rate iterate Journal of Economic Journal of Political Kiyotaki Kuan law of motion least squares learning linear macroeconomics Marcet and Sargent Marimon and Sunder matrix mean field dynamics Mean field theory methods for estimating Mimeo modulus Neural Networks Newton's method nonlinear parameters perceptron Peterson and Söderberg Phillips curve population price level rates of convergence rational expectations equilibrium rational expectations models recursive saving rates serial Sims Simulated anneal Söderberg describe solving stability stationary equilibrium stochastic approximation studied Sunspots theory time-invariant tions transient dynamics vector autoregression
Verweise auf dieses Buch
Bounded Rationality: The Adaptive Toolbox Gerd Gigerenzer,Reinhard Selten Eingeschränkte Leseprobe - 2002 |