Solving nonlinear dynamic stochastic models: an algorithm computing value function by simulations

This file is part of IDEAS, which uses RePEc data

Solving nonlinear dynamic stochastic models: an algorithm computing value function by simulations

Author Info

Maliar, Lilia
Maliar, Serguei

Additional information is available for the following registered author(s):

Abstract

No abstract is available for this item.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Publisher Info
Article provided by Elsevier in its journal Economics Letters.

Volume (Year): 87 (2005)
Issue (Month): 1 (April)
Pages: 135-140
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:eee:ecolet:v:87:y:2005:i:1:p:135-140

Contact details of provider:
Web page: http://www.elsevier.com/locate/ecolet

For technical questions regarding this item, or to correct its listing, contact: (Heidi Boesdal).

Related research
Keywords:

Other versions of this item:

Paper
- Lilia Maliar & Serguei Maliar, 2004. "Solving Nonlinear Dynamic Stochastic Models: An Algorithm Computing Value Functions By Simulations," Working Papers. Serie AD 2004-37, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie). [Downloadable!]
Software
- Lilia Maliar & Serguei Maliar, 2005. "Matlab code for "Solving Nonlinear Dynamic Stochastic Models: An Algorithm Computing Value Function by Simulations"," QM&RBC Codes 146, Quantitative Macroeconomics & Real Business Cycles. [Downloadable!]

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

Christiano, Lawrence J. & Fisher, Jonas D. M., 2000. "Algorithms for solving dynamic models with occasionally binding constraints," Journal of Economic Dynamics and Control, Elsevier, vol. 24(8), pages 1179-1232, July. [Downloadable!] (restricted)
Other versions:
- Lawrence J. Christiano & Jonas D. M. Fisher, 1994. "Algorithms for solving dynamic models with occasionally binding constraints," Staff Report 171, Federal Reserve Bank of Minneapolis. [Downloadable!]
- Lawrence J. Christiano & Jonas D.M. Fisher, 1997. "Algorithms for Solving Dynamic Models with Occasionally Binding Constraints," NBER Technical Working Papers 0218, National Bureau of Economic Research, Inc.
- Lawrence J. Christiano & Jonas D.M. Fisher, 1997. "Algorithms for solving dynamic models with occasionally binding constraints," Working Paper Series, Macroeconomic Issues WP-97-15, Federal Reserve Bank of Chicago.
- Lawrence J. Christiano & Jonas D.M. Fisher, 1997. "Algorithms for solving dynamic models with occasionally binding constraints," Working Paper 9711, Federal Reserve Bank of Cleveland. [Downloadable!]
- Lawrence J. Christiano & Jonas D.M. Fisher, 1994. "Algorithms for solving dynamic models with occasionally binding constraints," Working Paper Series, Macroeconomic Issues 94-6, Federal Reserve Bank of Chicago.
den Haan, Wouter J & Marcet, Albert, 1990. "Solving the Stochastic Growth Model by Parameterizing Expectations," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(1), pages 31-34, January.
Other versions:
- Wouter Denhaan & Albert Marcet, 1990. "FORTRAN code for Simulation Parameterized Expecations Algorithm," QM&RBC Codes 57, Quantitative Macroeconomics & Real Business Cycles. [Downloadable!]
David Andolfatto & Glenn MacDonald, 1998. "Technology Diffusion and Aggregate Dynamics," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 1(2), pages 338-370, April. [Downloadable!] (restricted)
Other versions:
- David Andolfatto & Glenn M. MacDonald, 1998. "Technology Diffusion and Aggregate Dynamics," Working Papers 98005, University of Waterloo, Department of Economics, revised Jan 1998. [Downloadable!]
- Andolfatto, D. & MacDonald, G.M., 1995. "Technological Innovation, Diffusion, and Business Cycle Dynamics," Working Papers 9503, University of Waterloo, Department of Economics.
- David Andolfatto & Glenn M. MacDonald, 1998. "Technology Diffusion and Aggregate Dynamics," Cahiers de recherche CREFE / CREFE Working Papers 58, CREFE, Université du Québec à Montréal. [Downloadable!]
Albert Marcet & Guido Lorenzoni, 1998. "The Parameterized Expectations Approach: Some Practical Issues," QM&RBC Codes 128, Quantitative Macroeconomics & Real Business Cycles. [Downloadable!]
Scott Freeman & Dong-Pyo Hong & Dan Peled, 1999. "Endogenous Cycles and Growth with Indivisible Technological Developments," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 2(2), pages 402-432, April. [Downloadable!] (restricted)
Rust, John, 1996. "Numerical dynamic programming in economics," Handbook of Computational Economics, in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 14, pages 619-729 Elsevier. [Downloadable!] (restricted)

Full references

Statistics
Access and download statistics

Did you know? Over 1000 institutions contribute their bibliographic data directly to this service.

This page was last updated on 2009-11-7.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.