Occasionally binding constraints in large models : a review of solution methods / by Jonathan Swarbrick.: FB3-6/2021-5E-PDF

"This practical review assesses several approaches to solving medium- and large-scale dynamic stochastic general equilibrium (DSGE) models featuring occasionally binding constraints. In such models, global solution methods are not possible because of the curse of dimensionality. This causes the modeller to look elsewhere for methods that can handle the significant non-linearities and non-differentiable functions that inequality constraints represent. The paper discusses methods-including Newton-type solvers under perfect foresight, the piecewise linear algorithm (OccBin), regime-switching models (RISE) and the news shocks approach (DynareOBC) - and compares the results from a simple borrowing constraints model obtained using projection methods, providing example MATLAB code. The study focuses on the news shocks method, which I find produces higher accuracy than other methods and allows the modeller to study multiple equilibria and determinacy issues"--Abstract, page ii.

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Publication information
Department/Agency Bank of Canada, issuing body.
Title Occasionally binding constraints in large models : a review of solution methods / by Jonathan Swarbrick.
Series title Staff discussion paper = Document d'analyse du personnel, 1914-0568 ; 2021-5
Publication type Series - View Master Record
Language [English]
Format Electronic
Electronic document
Note(s) Cover title.
"March 23, 2021."
Includes bibliographical references (pages 42-47).
Publishing information Ottawa, Ontario, Canada : Bank of Canada = Banque du Canada, 2021.
©2021
Author / Contributor Swarbrick, Jonathan M., author.
Description 1 online resource (ii, 47 pages) : graphs.
Catalogue number
  • FB3-6/2021-5E-PDF
Subject terms Business cycles -- Econometric models.
Cycles économiques -- Modèles économétriques.
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