Presents various methods for computing 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
Part II discusses methods for solving heterogeneous-agent economies
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Modern business cycle theory and growth theory uses stochastic dynamic general equilibrium models. A wide variety of mathematical tools are needed to solve these models. This book presents methods used to compute the dynamics of general equilibrium models.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Etat : 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. N° de réf. du vendeur 5043902
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Taschenbuch. Etat : 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. 702 pp. Englisch. N° de réf. du vendeur 9783642031489
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Taschenbuch. Etat : 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. 702 pp. Englisch. N° de réf. du vendeur 9783642031489
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783642031489
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