Computing Stochastic Dynamic Economic Models with a Large Number of State Variables : A Description and Application of a Smolyak-Collocation Method
Benjamin Malin, Dirk Krueger, Felix Kubler
We describe a sparse grid collocation algorithm to compute recursive solutions of dynamic economies with a sizable number of state variables. We show how powerful this method may be in applications by computing the nonlinear recursive solution of an international real business cycle model with a substantial number of countries, complete insurance markets and frictions that impede frictionless international capital flows. In this economy the aggregate state vector includes the distribution of world capital across different countries as well as the exogenous country-specific technology shocks. We use the algorithm to efficiently solve models with 2, 4, and 6 countries (i.e., up to 12 continuous state variables)
Year of publication: |
October 2007
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Authors: | Malin, Benjamin |
Other Persons: | Krueger, Dirk (contributor) ; Kubler, Felix (contributor) |
Institutions: | National Bureau of Economic Research (contributor) |
Publisher: |
Cambridge, Mass : National Bureau of Economic Research |
Subject: | Konjunktur | Business cycle | Dynamische Wirtschaftstheorie | Economic dynamics | Computernetz | Computer network | Stochastisches Wachstumsmodell | Stochastic growth model | Kapitalmobilität | Capital mobility |
Saved in:
freely available
Extent: | 1 Online-Ressource |
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Series: | NBER working paper series ; no. w13517 |
Type of publication: | Book / Working Paper |
Language: | English |
Notes: | Mode of access: World Wide Web System requirements: Adobe [Acrobat] Reader required for PDF files Hardcopy version available to institutional subscribers. |
Other identifiers: | 10.3386/w13517 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012465129