Abstract
This chapter introduces readers to global methods, which, unlike local perturbation methods, draw on information from various points in the state space 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 a disaster risk model driven by shocks that trigger infrequent but severe recessions.
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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
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Heer, B., Maußner, A. (2024). Weighted Residuals Methods. In: Dynamic General Equilibrium Modeling. Springer Texts in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-031-51681-8_5
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DOI: https://doi.org/10.1007/978-3-031-51681-8_5
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Publisher Name: Springer, Cham
Print ISBN: 978-3-031-51680-1
Online ISBN: 978-3-031-51681-8
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