Average Reviews:
(More customer reviews)If you want to learn how to solve the dynamic macroeconomic models from a theoretical and practical perspectives, you should buy this book. But what I like the most it's the extended development in each model, contrary to other macroeconomic books, you can find in this one, a very detailed explanation of the algebra inside the macro models. Maybe next editions could improve with the answer to each chapter problems in some web page.
Click Here to see more reviews about: Dynamic General Equilibrium Modeling: Computational Methods and Applications
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.
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