Recursive Macroeconomic Theory

ISBN-10: 026212274X

ISBN-13: 9780262122740

Edition: 2nd 2004

List price: $90.00
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This text provides both an introduction to recursive methods and advanced material, mixing tools and sample applications. The second edition has been substantially revised and expanded, and covers new topics that further illustrate the power and pervasiveness of recursive methods.
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Book details

List price: $90.00
Edition: 2nd
Copyright year: 2004
Publisher: MIT Press
Publication date: 9/3/2004
Binding: Hardcover
Pages: 1120
Size: 7.25" wide x 9.50" long x 1.75" tall
Weight: 3.850
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 to the second edition
The imperialism of recursive methods
Time Series
Dynamic Programming
Practical Dynamic Programming
Linear-Quadratic Dynamic Programming
Search, Matching, and Unemployment
Competitive equilibria and applications
Recursive (Partial) Equilibrium
Equilibrium with Complete Markets
Overlapping Generations Models
Ricardian Equivalence
Fiscal Policies in the Growth Model
Recursive Competitive Equilibria
Asset Pricing
Economic Growth
Optimal Taxation with Commitment
The savings problem and Bewley models
Incomplete Markets Models
Recursive contracts
Dynamic Stackelberg Problems
Insurance Versus Incentives
Equilibrium without Commitment
Optimal Unemployment Insurance
Credible Government Policies
Two Topics in International Trade
Classical monetary economics and search
Fiscal-Monetary Theories of Inflation
Credit and Currency
Equilibrium Search and Matching
Technical appendixes
Functional Analysis
Control and Filtering
Author Index
Matlab Index
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