EconPapers    
Economics at your fingertips  
 

A Dynamic Factor Model for Nowcasting Canadian GDP Growth

Tony Chernis and Rodrigo Sekkel

Staff Working Papers from Bank of Canada

Abstract: This paper estimates a dynamic factor model (DFM) for nowcasting Canadian gross domestic product. The model is estimated with a mix of soft and hard indicators, and it features a high share of international data. The model is then used to generate nowcasts, predictions of the recent past and current state of the economy. In a pseudo real-time setting, we show that the DFM outperforms univariate benchmarks as well as other commonly used nowcasting models, such as mixed-data sampling (MIDAS) and bridge regressions.

Keywords: Business fluctuations and cycles; Econometric and statistical methods (search for similar items in EconPapers)
JEL-codes: C32 C38 C53 E37 (search for similar items in EconPapers)
Pages: 29 pages
Date: 2017
New Economics Papers: this item is included in nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (47)

Downloads: (external link)
https://www.bankofcanada.ca/wp-content/uploads/2017/02/swp2017-2.pdf

Related works:
Journal Article: A dynamic factor model for nowcasting Canadian GDP growth (2017) 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:bca:bocawp:17-2

Access Statistics for this paper

More papers in Staff Working Papers from Bank of Canada 234 Wellington Street, Ottawa, Ontario, K1A 0G9, Canada. Contact information at EDIRC.
Bibliographic data for series maintained by ().

 
Page updated 2025-03-22
Handle: RePEc:bca:bocawp:17-2