EconPapers    
Economics at your fingertips  
 

OccBin: A Toolkit for Solving Dynamic Models With Occasionally Binding Constraints Easily

Matteo Iacoviello

No 801, 2014 Meeting Papers from Society for Economic Dynamics

Abstract: We describe how to adapt a first-order perturbation approach and apply it in a piecewise fashion to handle occasionally binding constraints in dynamic models. Our examples include a real business cycle model with a constraint on the level of investment, a New Keynesian model subject to the zero lower bound on nominal interest rates, and a model of optimal consumption choice in the presence of liquidity constraints. In each case, we compare the piecewise linear perturbation solution with a high-quality numerical solution that can be taken to be virtually exact. The piecewise linear perturbation method can adequately capture key properties of the models we consider. A key advantage of this method is its applicability to models with a large number of state variables.

Date: 2014
New Economics Papers: this item is included in nep-cmp, nep-dge and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)

Downloads: (external link)
https://red-files-public.s3.amazonaws.com/meetpapers/2014/paper_801.pdf (application/pdf)

Related works:
Journal Article: OccBin: A toolkit for solving dynamic models with occasionally binding constraints easily (2015) Downloads
Working Paper: OccBin: A Toolkit for Solving Dynamic Models With Occasionally Binding Constraints Easily (2014) 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:red:sed014:801

Access Statistics for this paper

More papers in 2014 Meeting Papers from Society for Economic Dynamics Society for Economic Dynamics Marina Azzimonti Department of Economics Stonybrook University 10 Nicolls Road Stonybrook NY 11790 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christian Zimmermann ().

 
Page updated 2025-03-19
Handle: RePEc:red:sed014:801