Recursive Macroeconomic Theory

Recursive Macroeconomic Theory
Author: Lars Ljungqvist
Publisher: MIT Press
Total Pages: 1120
Release: 2004
Genre: Business & Economics
ISBN: 9780262122740

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A significant new edition of a text that offers both tools and sample applications; extensive revisions and seven new chapters improve and expand upon the original treatment.


Recursive Macroeconomic Theory
Language: en
Pages: 1120
Authors: Lars Ljungqvist
Categories: Business & Economics
Type: BOOK - Published: 2004 - Publisher: MIT Press

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A significant new edition of a text that offers both tools and sample applications; extensive revisions and seven new chapters improve and expand upon the origi
Recursive Macroeconomic Theory
Language: en
Pages: 1082
Authors: Lars Ljungqvist
Categories: Business & Economics
Type: BOOK - Published: 2004 - Publisher:

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Recursive methods offer a powerful approach for characterizing and solving complicated problems in dynamic macroeconomics. Recursive Macroeconomic Theory provid
Recursive Methods in Economic Dynamics
Language: en
Pages: 607
Authors: Nancy L. Stokey
Categories: Business & Economics
Type: BOOK - Published: 1989-10-10 - Publisher: Harvard University Press

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This rigorous but brilliantly lucid book presents a self-contained treatment of modern economic dynamics. Stokey, Lucas, and Prescott develop the basic methods
Recursive Macroeconomic Theory, fourth edition
Language: en
Pages: 1477
Authors: Lars Ljungqvist
Categories: Business & Economics
Type: BOOK - Published: 2018-09-11 - Publisher: MIT Press

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The substantially revised fourth edition of a widely used text, offering both an introduction to recursive methods and advanced material, mixing tools and sampl
Dynamic Macroeconomic Theory
Language: en
Pages: 392
Authors: Thomas J. Sargent
Categories: Business & Economics
Type: BOOK - Published: 2009-06-01 - Publisher: Harvard University Press

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The tasks of macroeconomics are to interpret observations on economic aggregates in terms of the motivations and constraints of economic agents and to predict t