Skip to content

Conquest of American Inflation

Best in textbook rentals since 2012!

ISBN-10: 0691090122

ISBN-13: 9780691090122

Edition: 2001

Authors: Thomas J. Sargent

List price: $49.95
Shipping box This item qualifies for FREE shipping.
Blue ribbon 30 day, 100% satisfaction guarantee!
what's this?
Rush Rewards U
Members Receive:
Carrot Coin icon
XP icon
You have reached 400 XP and carrot coins. That is the daily max!

Description:

Presenting an analysis of the rise and fall of US inflation after 1960, this book examines two broad explanations, the natural-rate hypothesis joined to the Lucas critique, and a more traditional econometric policy evaluation.
Customers also bought

Book details

List price: $49.95
Copyright year: 2001
Publisher: Princeton University Press
Publication date: 12/2/2001
Binding: Paperback
Pages: 168
Size: 6.50" wide x 9.00" long x 0.50" tall
Weight: 0.594
Language: English

Thomas J. Sargent is Donald Lucas Professor of Economics at Stanford University and Senior Fellow at the Hoover Institution. A pioneer of the rational expectations school of macroeconomics, he is the author of The Conquest of American Inflation (Princeton), Bounded Rationality in Macroeconomics, and Dynamic Macroeconomic Theory. François R. Velde is Senior Economist at the Federal Reserve Bank in Chicago and Lecturer in Economics at the University of Chicago.

Preface
The Rise and Fall of U.S. Inflation
Facts
Two interpretations
The triumph of natural-rate theory
The vindication of econometric policy evaluation
Readers's guide
The Lucas critique
Time-consistency and credible plans
Adaptive expectations and the Phelps problem
Equilibrium under misspecification
Two types of self-confirming equilibria
Adaptive expectations
Empirical vindication
Raw and filtered Data
Demographic adjustment and drift
Ignoring the Lucas Critique
The Lucas critique
Outline
The appeal to drifting coefficients
A loose end
Parameter drift as point of departure
Relevance of the critique
Rational expectations models
The Credibility Problem
Introduction
One-period economy
Least squares learning converges to Nash
More foresight
Appendix on stochastic approximation
Credible Government Policies
Perfection
Historical antecedents
The method of Abreu-Pearce-Stacchetti
Examples of recursive SPE
Infinite repetition of Nash outcome
Infinite repetition of a better-than-Nash outcome
Something worse: a stick and carrot strategy
The worst SPE
Multiplicity
Attaining the worst, method 1
Attaining the worst, method 2
Attaining the worst, method 3
Numerical examples
Interpretations
Remedies
Adaptive Expectations (1950's)
Adaptive expectations
The original Phelps problem
Phelps problem: general version
Testing the natural-rate hypothesis
Disappearance of beliefs as state variable
Subversion of Phelps's model
Optimal Misspecified Beliefs
Equilibrium with mistakes
An experiment in Bray's lab
Misspecification
Lessons
Self-Confirming Equilibria
Two literatures
Directions of fit
Imperfect (1970's) rational expectations equilibria
Self-confirming equilibria
Objects in Phelps problem
Elements of self-confirming models
The actual Phillips curve
Self-confirmation
Direction of minimization
Vanishing parameters
Self-confirmation under classical direction
Moment formulas
Keynesian direction of fit
Government beliefs and behavior
Calculation of S
Special case by hand
Why not Ramsey?
Direction of minimization: caution
Equilibrium computation
Messages
Equilibrium with misspecified beliefs
An erroneous forecasting function
Approaching Ramsey
Grounds for optimism
Adaptive Expectations (1990's)
Least squares adaptation
Primer on recursive algorithms
Iteration
Stochastic approximations
Mean dynamics
Constant gain
Escape routes
Simplification of action functional
From computation to adaptation
Adaptation with the classical identification
The government's beliefs and behavior
RLS and the Kalman filter
Private sector beliefs
System evolution
Mean dynamics
Stochastic approximation
Adaptation with Keynesian identification
Government beliefs and behavior
Technical details
Simulations
Classical adaptive simulations
Relation to equilibria under forecast misspecification
Simulation with Keynesian adaptation
Role of discount factor
Conclusions
RLS and the Kalman filter
The Kalman filter
Recursive least squares
Matching RLS to the Kalman filter
Initial conditions for simulations
Anticipated utility
Boiler plate recursive rational expectations model
Anticipated utility model
Econometric Policy Evaluation
Introduction
Likelihood function
Estimates
Interpretation
Appendix on likelihood function
Triumph or Vindication?
Expectations and the Lucas critique
Reservations
Glossary
References
Author Index
Subject Index