Factor augmented VAR revisited - A sparse dynamic factor model approach

Simon Beyeler and Sylvia Kaufmann

No 16.08, Working Papers from Swiss National Bank, Study Center Gerzensee

Abstract: We combine the factor augmented VAR framework with recently developed estimation and identification procedures for sparse dynamic factor models. Working with a sparse hierarchical prior distribution allows us to discriminate between zero and non-zero factor loadings. The non-zero loadings identify the unobserved factors and provide a meaningful economic interpretation for them. Given that we work with a general covariance matrix of factor innovations, we can implement different strategies for structural shock identification. Applying our methodology to US macroeconomic data (FRED QD) reveals indeed a high degree of sparsity in the data. The proposed identification procedure yields seven unobserved factors that account for about 52 percent of the variation in the data. We simultaneously identify a monetary policy, a productivity and a news shock by recursive ordering and by applying the method of maximizing the forecast error variance share in a specific variable. Factors and specific variables show sensible responses to the identified shocks.

Pages: 47 pages
Date: 2016-10
New Economics Papers: this item is included in nep-ecm and nep-ets
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.szgerzensee.ch/fileadmin/Dateien_Anwend ... g_papers/wp-1608.pdf Full text (application/pdf)
None

Related works:
Working Paper: Factor augmented VAR revisited - A sparse dynamic factor model approach (2019)
Working Paper: Factor augmented VAR revisited - A sparse dynamic factor model approach (2018)
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:szg:worpap:1608

Ordering information: This working paper can be ordered from
Studienzentrum Gerzensee, Postfach 21, 3115 Gerzensee

The price is Free.

Access Statistics for this paper

More papers in Working Papers from Swiss National Bank, Study Center Gerzensee Studienzentrum Gerzensee, Postfach 21, 3115 Gerzensee.
Bibliographic data for series maintained by library ().