Monetary and fiscal policy through a DSGE lens

著者
    • Cole, Harold Linh
書誌事項

Monetary and fiscal policy through a DSGE lens

Harold L. Cole

[Oxford University Press], [2020]

  • pbk.

この図書・雑誌をさがす
注記

Includes bibliographical references and index

Summary: "This text is aimed at a Master's level course in Macroeconomics with a strong emphasis on the theoretical underpinnings and computational methods used in modern macro. It is well suited to the first semester of a Ph.D. course in Macroeconomics or a high-level undergraduate course. It covers monetary economics and fiscal policy in depth. It also introduces students to connecting models and data in order to gauge how well our model captures key elements in the data, as well as to the reverse engineering that goes into fitting models to the data. A wide variety of empirical and computational methods are covered, as are Lagrangian methods in the theoretical analysis"-- Provided by publisher

内容説明・目次

内容説明

In Monetary and Fiscal Policy Through a DSGE Lens, Harold L. Cole develops and extends versions of a classic quantitative model of economic growth to take on a wide range of topics in monetary and fiscal policy. Bridging the gap between current undergraduate and graduate texts in the field, this comprehensive book covers the basic elements of advanced macroeconomics and equips readers to understand the debate on key policy questions. By using the simple DSGE, or dynamic stochastic general equilibrium, framework to build a series of quantitative models, the book combines a gradual introduction to advanced analytic methods with computer programming and quantitative policy analysis. In a clear discussion of the sophisticated interaction between theory and data, Cole explains how to gauge how well a model captures key elements in the data and how to reverse engineer a model to data. The book covers costs of inflation, optimal monetary policy, the impact of labor and capital taxes, and optimal fiscal policy. It systematically discusses technical material including the new Keynesian liquidity shock models, standard analytic methods, such as Lagrangian methods, and computational methods using Matlab and Python. With a strong computational emphasis, the volume teaches how to program up and solve systems of non-linear equations and develop models to study the macroeconomy. Knowing how to deeply understand and analyze models and develop computational code to evaluate the implications of those models is essential for students of macroeconomics. This book connects the standard undergraduate material to the elaborate models of advanced graduate courses with systematic and logical coverage of the basics of advanced modern macroeconomics.

目次

Chapter 1. Introduction Part 1. Money in a DSGE Model Chapter 2. The Cash-in-Advance Model - First Step Chapter 3. The Cash-in-Advance Model - Second Step Chapter 4. Some Interesting Extensions Chapter 5. The Cash-In-Advance Model - Third Step Chapter 6. The Statistical Model Chapter 7. Some History Chapter 8. Measurement Error and Our Data Chapter 9. Money Supply Rules and Interest Rate Rules Chapter 10. Price-Setting and Information Frictions Chapter 11. Ination, Output, and the Phillips Curve Chapter 12. The Great Depression Through the Lens of Our Model Chapter 13. Liquidity Effects and Interest Rates Part 2. Capital and Fiscal Policy Chapter 14. A Model of Money and Capital Chapter 15. Taxes Chapter 16. Taxes in Our Model: Take 1 Chapter 17. Taxes in Our Model: Take 2 Chapter 18. Modeling Government Expenditures Part 3. Dynamic Models with Capital Chapter 19. Dynamic Adjustment with Capital Chapter 20. A Business Cycle Model with Capital Chapter 21. Optimal Monetary and Fiscal Policy Part 4. Reviews Chapter 22. Math Reviews Chapter 23. Python and Dynare Code

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