EconPapers    
Economics at your fingertips  
 

Efficient simulation of DSGE models with inequality constraints

Tom Holden () and Michael Paetz

No 1612, School of Economics Discussion Papers from School of Economics, University of Surrey

Abstract: This paper presents a fast, simple and intuitive algorithm for simulation of linear dynamic stochastic general equilibrium models with inequality constraints. The algorithm handles both the computation of impulse responses, and stochastic simulation, and can deal with arbitrarily many bounded variables. Furthermore, the algorithm is able to capture the precautionary motive associated with the risk of hitting such a bound. To illustrate the usefulness and efficiency of this algorithm we provide a variety of applications including to models incorporating a zero lower bound (ZLB) on nominal interest rates. Our procedure is much faster than comparable methods and can readily handle large models. We therefore expect this algorithm to be useful in a wide variety of applications.

JEL-codes: C63 E32 E43 E52 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-cmp and nep-dge
Date: 2012-10
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (35) Track citations by RSS feed

Downloads: (external link)
https://repec.som.surrey.ac.uk/2012/DP16-12.pdf (application/pdf)

Related works:
Working Paper: Efficient Simulation of DSGE Models with Inequality Constraints (2012) 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:sur:surrec:1612

Access Statistics for this paper

More papers in School of Economics Discussion Papers from School of Economics, University of Surrey Contact information at EDIRC.
Bibliographic data for series maintained by Ioannis Lazopoulos ().

 
Page updated 2019-04-21
Handle: RePEc:sur:surrec:1612