Isbn: 9783540856849 - dynamic general equilibrium modeling: computational methods and applications (17 resultados)

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Hardcover. Condición: New.

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Hardback. Condición: New. Second Edition 2009. Presents various methods for computing the dynamics of general equilibrium modelsIn part I, the representative-agent stochastic growth model is solved with the help of value function iteration, linear and linear quadratic approximation methods, parameterised expectations and projection methodsIn order to apply these methods, fundamentals from numerical analysis are reviewed in detailPart II discusses methods for solving heterogeneous-agent economies. …

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Condición: Sehr gut. Zustand: Sehr gut | Seiten: 736 | Sprache: Englisch | Produktart: Bücher | Modern business cycle theory and growth theory uses stochastic dynamic general equilibrium models. In order to solve these models, economists need to use many mathematical tools. This book presents various methods in order to compute the dynamics of general equilibrium models. In part I, the representative-agent stochastic growth model is solved with the help of value function iteration, linear and linear quadratic approximation methods, parameterised expectations and projection methods. In order to apply these methods, fundamentals from numerical analysis are reviewed in detail. In particular, the book discusses issues that are often neglected in existing work on computational methods, e.g. how to find a good initial value.In part II, the authors discuss methods in order to solve heterogeneous-agent economies. In such economies, the distribution of the individual state variables is endogenous. This part of the book also serves as an introduction to the modern theory of distribution economics. Applications include the dynamics of the income distribution over the business cycle or the overlapping-generations model.In an accompanying home page to this book, computer codes to all applications can be downloaded.…

Condición: New. Introduction to the use of numerical methods for solving dynamic general equilibrium modelsApplicable to the models most widely used in modern macroeconomics / monetary economicsAlgorithms and program codes provided on an accompanying websi.

Condición: Hervorragend. Zustand: Hervorragend | Seiten: 736 | Sprache: Englisch | Produktart: Bücher | Modern business cycle theory and growth theory uses stochastic dynamic general equilibrium models. In order to solve these models, economists need to use many mathematical tools. This book presents various methods in order to compute the dynamics of general equilibrium models. In part I, the representative-agent stochastic growth model is solved with the help of value function iteration, linear and linear quadratic approximation methods, parameterised expectations and projection methods. In order to apply these methods, fundamentals from numerical analysis are reviewed in detail. In particular, the book discusses issues that are often neglected in existing work on computational methods, e.g. how to find a good initial value.In part II, the authors discuss methods in order to solve heterogeneous-agent economies. In such economies, the distribution of the individual state variables is endogenous. This part of the book also serves as an introduction to the modern theory of distribution economics. Applications include the dynamics of the income distribution over the business cycle or the overlapping-generations model.In an accompanying home page to this book, computer codes to all applications can be downloaded.…

Buch. Condición: Neu. Neuware - Modern business cycle theory and growth theory uses stochastic dynamic general equilibrium models. In order to solve these models, economists need to use many mathematical tools. This book presents various methods in order to compute the dynamics of general equilibrium models. In part I, the representative-agent stochastic growth model is solved with the help of value function iteration, linear and linear quadratic approximation methods, parameterised expectations and projection methods. In order to apply these methods, fundamentals from numerical analysis are reviewed in detail. In particular, the book discusses issues that are often neglected in existing work on computational methods, e.g. how to find a good initial value.In part II, the authors discuss methods in order to solve heterogeneous-agent economies. In such economies, the distribution of the individual state variables is endogenous. This part of the book also serves as an introduction to the modern theory of distribution economics. Applications include the dynamics of the income distribution over the business cycle or the overlapping-generations model.In an accompanying home page to this book, computer codes to all applications can be downloaded.…

Hardback. Condición: New. Second Edition 2009. Presents various methods for computing the dynamics of general equilibrium modelsIn part I, the representative-agent stochastic growth model is solved with the help of value function iteration, linear and linear quadratic approximation methods, parameterised expectations and projection methodsIn order to apply these methods, fundamentals from numerical analysis are reviewed in detailPart II discusses methods for solving heterogeneous-agent economies. …

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Hardcover. Condición: Brand New. 2nd edition. 733 pages. 9.50x6.50x1.75 inches. In Stock. This item is printed on demand.