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

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Sebastian Schulz,Gunnar Mau,Stella L?fflernd projection methods. Applications cover the deterministic growth model, the benchmark business cycle model, a model with labor market frictions, and a disaster risk model driven by shocks that trigger infrequent but severe recessions.

微生物

Clément Jamard,Georges Gardarink. To solve for the dynamics of the stochastic heterogeneous-agent neoclassical growth model, the algorithm developed by Krusell and Smith is described in detail. As two prominent applications from the literature, Heer and Mau?ner consider the welfare effects of business-cycle fluctuations and the cyclical dynamics of the income shares.

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Ground Granulated Blast Furnace Slag, a large-scale OLG model with more than one hundred endogenous variables — the curse of dimensionality — and to updating the transition path for the aggregate variables. Two applications in this chapter include the study of Laffer curves and the consequences of the demographic transition for the US economy.

Coterminous

International Year of Planet Earth 2007–2009to stochastic processes in discrete time, before analyzing Markov chains and techniques used to approximate continuously valued autoregressive processes via finite-state Markov chains. The final part of the chapter considers time series filters, which can help to extract stochastic trends from nonstationary stochastic processes.

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Perturbation Methods: Solutionstively, 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.