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Titlebook: Dynamic General Equilibrium Modeling; Computational Method Burkhard Heer,Alfred Mau?ner Textbook 2024Latest edition The Editor(s) (if appli

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書(shū)目名稱Dynamic General Equilibrium Modeling
副標(biāo)題Computational Method
編輯Burkhard Heer,Alfred Mau?ner
視頻videohttp://file.papertrans.cn/284/283603/283603.mp4
概述Offers an introduction to the use of numerical methods for solving dynamic general equilibrium models.Provides algorithms and program codes on an accompanying website.This is the 3rd completely revise
叢書(shū)名稱Springer Texts in Business and Economics
圖書(shū)封面Titlebook: Dynamic General Equilibrium Modeling; Computational Method Burkhard Heer,Alfred Mau?ner Textbook 2024Latest edition The Editor(s) (if appli
描述.Contemporary macroeconomics is built upon microeconomic principles, with its most recent advance featuring dynamic stochastic general equilibrium models. The textbook by Heer and Mau?ner acquaints readers with the essential computational techniques required to tackle these models and employ them for quantitative analysis. This third edition maintains the structure of the second, dividing the content into three separate parts dedicated to representative agent models, heterogeneous agent models, and numerical methods. At the same time, every chapter has been revised and two entirely new chapters have been added...The updated content reflects the latest advances in both numerical methods and their applications in macroeconomics, spanning areas like business-cycle analysis, economic growth theory, distributional economics, monetary and fiscal policy. The two new chapters delve into advanced techniques, including higher-order perturbation, weighted residual methods, and solutions to high-dimensional nonlinear problems. In addition, the authors present further insights from macroeconomic theory, complemented by practical applications like the Smolyak algorithm, Gorman aggregation, rare
出版日期Textbook 2024Latest edition
關(guān)鍵詞Business Cycles; Computational Economics; Dynamic General Equilibrium Modeling; General Equilibrium; Gen
版次3
doihttps://doi.org/10.1007/978-3-031-51681-8
isbn_softcover978-3-031-51683-2
isbn_ebook978-3-031-51681-8Series ISSN 2192-4333 Series E-ISSN 2192-4341
issn_series 2192-4333
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Weighted Residuals Methodse of a dynamic stochastic general equilibrium (DSGE) model. The methods presented here are interchangeably referred to as weighted residuals methods and projection methods. Applications cover the deterministic growth model, the benchmark business cycle model, a model with labor market frictions, and
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Simulation-Based MethodsIn the first part, Heer and Mau?ner describe the extended path method, which is based on the repeated solution of a large system of nonlinear equations, and apply it to compute the benchmark business cycle model and the model of a small open economy. In the second part, they consider approaches that
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Computation of Stationary Distributionsution of the individual state variable(s). In the first part, Heer, Mau?ner present avery simple heterogeneous-agent model with aspecial form of preferences — Gorman preferences — that allows to use the representative household’s policy function for the computation of the aggregate dynamics. The sec
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