Efficient VAR Discretization
Grey Gordon
No 20-06, Working Paper from Federal Reserve Bank of Richmond
Abstract:
The standard approach to discretizing VARs uses tensor grids. However, when the VAR components exhibit significant unconditional correlations or when there are more than a few variables, this approach creates large inefficiencies because some discretized states will be visited with only vanishingly small probability. I propose pruning these low-probability states, thereby constructing an efficient grid. I investigate how much an efficient grid improves accuracy in the context of an AR(2) model and a small-scale New Keynesian model featuring four shocks. In both contexts, the efficient grid vastly increases accuracy.
Keywords: VAR; Autoregressive; Discretization; New Keynesian (search for similar items in EconPapers)
JEL-codes: C32 C63 E32 E52 (search for similar items in EconPapers)
Pages: 25
Date: 2020-06-05
New Economics Papers: this item is included in nep-ets and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.richmondfed.org/-/media/richmondfedorg ... ers/2020/wp20-06.pdf Full Text (application/pdf)
Related works:
Journal Article: Efficient VAR discretization (2021) 
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:fedrwp:88431
Ordering information: This working paper can be ordered from
DOI: 10.21144/wp20-06
Access Statistics for this paper
More papers in Working Paper from Federal Reserve Bank of Richmond Contact information at EDIRC.
Bibliographic data for series maintained by Christian Pascasio ().