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

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Wissenschaftsjahr 2008 — Die MathematikThis chapter covers some elementary and some relatively advanced but very useful concepts and techniques from linear algebra. The latter comprise various matrix factorizations employed in Chapters . and

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Dynamic General Equilibrium Modeling978-3-031-51681-8Series ISSN 2192-4333 Series E-ISSN 2192-4341

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Web Information Systems and Technologiesents and impulse response functions. Drawing on these diagnostic tools, Heer and Maußner consider three applications: the benchmark business cycle model, a time-to-build variant of this model, and a New Key-nesian model with consumption habits, investment adjustment costs, and sticky nominal prices and wages for the study of monetary policy.

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Extending an XML Mediator with Text Queryimations of the policy functions that determine the endogenous variables given the current state of the economy. In this chapter, we switch the perspective from the Euler equations approach to the dynamic programming approach

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2192-4333 on an accompanying website.This is the 3rd completely revise.Contemporary macroeconomics is built upon microeconomic principles, with its most recent advance featuring dynamic stochastic general equilibrium models. The textbook by Heer and Maußner acquaints readers with the essential computational t

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Strategien von Communities im Web 2.0e perturbation methods in detail, over three chapters. The present chapter introduces readers to the perturbation approach and related issues, develops a general framework, and reviews the required tools.

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Diffusion von Web 2.0-Plattformentively, and document their use in the computer code. At the book’s accompanying website, readers can download toolboxes written in both GAUSS and MATLAB. that implement the perturbation solution. Descriptions of these toolboxes and their uses are provided at the end of the chapter.