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ISBN: 9780262552837
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Overview

How to use nonlinear dynamic models in policy analysis.

Policymakers need quantitative as well as qualitative answers to pressing policy questions. Because of advances in computational methods, quantitative estimates are now derived from coherent nonlinear dynamic macroeconomic models embodying measures of risk and calibrated to capture specific characteristics of real-world situations. This text shows how such models can be made accessible and operational for confronting policy issues. The book starts with a simple setting based on market-clearing price flexibility. It gradually incorporates departures from the simple competitive framework in the form of price and wage stickiness, taxes, rigidities in investment, financial frictions, and habit persistence in consumption. Most chapters end with computational exercises; the Matlab code for the base model can be found in the appendix. As the models evolve, readers are encouraged to modify the codes from the first simple model to more complex extensions. Computational Macroeconomics for the Open Economy can be used by graduate students in economics and finance as well as policy-oriented researchers.

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Product Details

Author:
G. C. Lim, Paul D. Mcnelis
Format:
Paperback
Pages:
256
Publisher:
MIT Press (August 6, 2024)
Language:
English
Audience:
General/trade
ISBN-13:
9780262552837
ISBN-10:
0262552833
Weight:
13oz
Dimensions:
6" x 9"
File:
RandomHouse-PRH_Book_Company_PRH_PRT_Onix_full_active_D20250406T185337_150894524-20250406-1.xml
Folder:
RandomHouse
List Price:
$50.00
Country of Origin:
United States
Case Pack:
24
As low as:
$25.00
Shipping Origin:
Crawfordsville, IN
Publisher Identifier:
P-RH
Discount Code:
A
Pub Discount:
65
Imprint:
The MIT Press

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