Forecasting with instabilities: An application to DSGE models with financial frictions
Roberta Cardani,
Alessia Paccagnini and
Stefania Villa
Journal of Macroeconomics, 2019, vol. 61, issue C, -
Abstract:
We assess the importance of parameter instabilities from a forecasting viewpoint in a set of medium-scale DSGE models with and without financial frictions using US real-time data. We find that, first, failing to update DSGE model parameter estimates with new data arrival deteriorates point forecasts due to the estimated parameters variation. And second, the presence of financial frictions helps to better explain GDP and inflation forecast
Keywords: Bayesian estimation; Forecasting; Financial frictions; Parameter instabilities,JEL classificationC11; C13; C32; E37 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0164070418301046
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Forecasting with instabilities: an application to DSGE models with financial frictions (2019) 
Working Paper: Forecasting with Instabilities: an Application to DSGE Models with Financial Frictions (2015) 
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:eee:jmacro:v:61:y:2019:i:c:11
DOI: 10.1016/j.jmacro.2019.103133
Access Statistics for this article
Journal of Macroeconomics is currently edited by Douglas McMillin and Theodore Palivos
More articles in Journal of Macroeconomics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().