Computational Macroeconomics for the Open Economy
- Paperback
256 pages
- Release Date
6 August 2024
Summary
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…
Book Details
| ISBN-13: | 9780262552837 |
|---|---|
| ISBN-10: | 0262552833 |
| Author: | G.C. Lim, Paul D. Mcnelis |
| Publisher: | MIT Press Ltd |
| Imprint: | MIT Press |
| Format: | Paperback |
| Number of Pages: | 256 |
| Release Date: | 6 August 2024 |
| Weight: | 369g |
| Dimensions: | 152mm x 229mm |
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G.C. Lim
G. C. Lim is Professorial Research Fellow at the Melbourne Institute of Applied Economic and Social Research, University of Melbourne. She is the coauthor of Dynamic Economic Models in Discrete Time- Theory and Empirical Applications and An Introduction to Dynamic Economic Models (both with Brian Ferguson).
Paul D. McNelis is Robert Bendheim Chair of Economic and Financial Policy at Fordham University Graduate School of Business Administration. He is the author of Neural Networks in Finance- Gaining Predictive Edge in the Market.
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