Policy makers 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.
Author(s): G. C. Lim, Paul D. McNelis
Publisher: The MIT Press
Year: 2008
Language: English
Pages: 251
Contents
......Page 6
Preface......Page 12
Acknowledgments......Page 16
1 Introduction......Page 20
2 A Small Open Economy Model......Page 38
3 Sticky Domestic Prices......Page 66
4 Income and Consumption Taxes......Page 88
5 Current Account Dynamics......Page 104
6 Capital and Tobin’s Q......Page 122
7 Economy with Natural Resources......Page 140
8 Financial Frictions......Page 158
9 Wage Rigidities......Page 176
10 Habit Persistence......Page 192
11 International Capital Flows and Adjustment......Page 210
Appendixes......Page 218
Notes......Page 230
Bibliography......Page 234
Index......Page 244