A Large Canadian Database for Macroeconomic Analysis

Olivier Fortin-Gagnon, Maxime Leroux, Dalibor Stevanovic and Stéphane Surprenant

CIRANO Working Papers from CIRANO

Abstract: This paper provides a large-scale Canadian macroeconomic database and shows its usefulness for empirical macroeconomic analysis. The dataset contains hundreds of Canadian and provincial economic indicators. It is designed to be updated regularly and real-time vintages are publicly available. It relieves users to deal with data changes and methodological revisions. We show four useful features of this dataset for macroeconomic research. First, the factor structure explains a sizeable part of the variation of the dataset and appears as an appropriate means of dimension reduction. Second, the dataset is useful to capture turning points of the Canadian business cycle. Third, it has substantial predictive power when forecasting key macroeconomic indicators. Fourth, the richness of the panel is used to study the effectiveness of monetary policy across regions and sectors.

Keywords: Big Data; Factor Model; Forecasting; Structural Analysis (search for similar items in EconPapers)
Date: 2018-08-07
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 (18)

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https://cirano.qc.ca/files/publications/2018s-25.pdf

Related works:
Journal Article: A large Canadian database for macroeconomic analysis (2022)
Working Paper: A Large Canadian Database for Macroeconomic Analysis (2020)
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Persistent link: https://EconPapers.repec.org/RePEc:cir:cirwor:2018s-25

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