EconPapers    
Economics at your fingertips  
 

Algorithms for solving dynamic models with occasionally binding constraints

Lawrence Christiano and Jonas Fisher

No 9711, Working Papers (Old Series) from Federal Reserve Bank of Cleveland

Abstract: A description and comparison of several algorithms for approximating the solution to a model in which inequality constraints occasionally bind. Their performance is evaluated using various parameterizations of the one-sector growth model with irreversible investment.

Date: 1997
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

Downloads: (external link)
https://doi.org/10.26509/frbc-wp-199711 Persistent link
https://www.clevelandfed.org/-/media/project/cleve ... namic-models-pdf.pdf Full Text (application/pdf)

Related works:
Journal Article: Algorithms for solving dynamic models with occasionally binding constraints (2000) Downloads
Working Paper: Algorithms for solving dynamic models with occasionally binding constraints (1997)
Working Paper: Algorithms for Solving Dynamic Models with Occasionally Binding Constraints (1997)
Working Paper: Algorithms for solving dynamic models with occasionally binding constraints (1994)
Working Paper: Algorithms for solving dynamic models with occasionally binding constraints (1994) Downloads
Working Paper: Algorithms for Solving Dynamic Models with Occasionally Binding Constraints (1994) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:fip:fedcwp:9711

Ordering information: This working paper can be ordered from

Access Statistics for this paper

More papers in Working Papers (Old Series) from Federal Reserve Bank of Cleveland Contact information at EDIRC.
Bibliographic data for series maintained by 4D Library ().

 
Page updated 2025-03-30
Handle: RePEc:fip:fedcwp:9711