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Analyses in Macroeconomic Modelling

Overview of attention for book
Cover of 'Analyses in Macroeconomic Modelling'

Table of Contents

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    Book Overview
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    Chapter 1 Solution Methods and Non-Linear Forward-Looking Models
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    Chapter 2 From Here to Eternity: the Robustness of Model Solutions to Imperfect Starting Values
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    Chapter 3 Accelerating Non Linear Perfect Foresight Model Solution by Exploiting the Steady State Linearization
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    Chapter 4 Modifying the Rational Expectations Assumption in a Large World Model
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    Chapter 5 Boundedly Versus Procedurally Rational Expectations
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    Chapter 6 Instrument Rules, Inflation Forecast Rules and Optimal Control Rules When Expectations are Rational
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    Chapter 7 Asymptotic Hierarchies in an Economic Model
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    Chapter 8 Computational Methods for Macro Policy Analysis: Hall and Taylor’s Model in Duali
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    Chapter 9 The Dynamic Analysis of Forward-Looking Models
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    Chapter 10 The Long Run in Macro-Economic Models: A Guide
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    Chapter 11 The Sensitivity of Solutions to Terminal Conditions: Simulating Permanent Shocks with Quest II
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    Chapter 12 Solving Large Scale Models Under Alternative Policy Closures: The MSG2 Multi-Country Model
Attention for Chapter 11: The Sensitivity of Solutions to Terminal Conditions: Simulating Permanent Shocks with Quest II
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Citations

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Chapter title
The Sensitivity of Solutions to Terminal Conditions: Simulating Permanent Shocks with Quest II
Chapter number 11
Book title
Analyses in Macroeconomic Modelling
Published by
Springer, Boston, MA, January 1999
DOI 10.1007/978-1-4615-5219-2_11
Book ISBNs
978-1-4613-7378-0, 978-1-4615-5219-2
Authors

Werner Roeger, Jan in’t Veld

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 33%
Unknown 2 67%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 67%
Unknown 1 33%
Readers by discipline Count As %
Economics, Econometrics and Finance 2 67%
Unknown 1 33%

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