Forecasting in Nonstationary Environments: What Works and What Doesn't in Reduced-Form and Structural Models
Raffaella Giacomini () and
Barbara Rossi
Annual Review of Economics, 2015, vol. 7, issue 1, 207-229
Abstract:
This review provides an overview of forecasting methods that can help researchers forecast in the presence of nonstationarities caused by instabilities. The emphasis of the review is both theoretical and applied, and we provide several examples of interest to economists. We show that modeling instabilities can help, but it depends on how they are modeled. We also demonstrate how to robustify a model against instabilities.
Keywords: instabilities; structural breaks (search for similar items in EconPapers)
JEL-codes: C22 C52 C53 (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://www.annualreviews.org/doi/abs/10.1146/annurev-economics-080614-115338 (application/pdf)
Full text downloads are only available to subscribers. Visit the abstract page for more information.
Related works:
Working Paper: Forecasting in Nonstationary Environments: What Works and What Doesn't in Reduced-Form and Structural Models (2015) 
Working Paper: Forecasting in nonstationary environments: What works and what doesn't in reduced-form and structural models (2014) 
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:anr:reveco:v:7:y:2015:p:207-229
Ordering information: This journal article can be ordered from
http://www.annualreviews.org/action/ecommerce
Access Statistics for this article
More articles in Annual Review of Economics from Annual Reviews Annual Reviews 4139 El Camino Way Palo Alto, CA 94306, USA.
Bibliographic data for series maintained by http://www.annualreviews.org ().