Idioma:

FRED-MD: A Monthly Database for Macroeconomic Research

McCracken, Michael W. ; Ng, Serena

Journal of business & economic statistics, 2016-10, Vol.34 (4), p.574-589 [Periódico revisado por pares]

Texto completo disponível

Citações Citado por

Título:
FRED-MD: A Monthly Database for Macroeconomic Research
Autor: McCracken, Michael W. ; Ng, Serena
Assuntos: Big Data ; Datasets ; Diffusion index ; Factors ; Forecasting ; Macroeconomics ; Studies
É parte de: Journal of business & economic statistics, 2016-10, Vol.34 (4), p.574-589
Descrição: This article describes a large, monthly frequency, macroeconomic database with the goal of establishing a convenient starting point for empirical analysis that requires "big data." The dataset mimics the coverage of those already used in the literature but has three appealing features. First, it is designed to be updated monthly using the Federal Reserve Economic Data (FRED) database. Second, it will be publicly accessible, facilitating comparison of related research and replication of empirical work. Third, it will relieve researchers from having to manage data changes and revisions. We show that factors extracted from our dataset share the same predictive content as those based on various vintages of the so-called Stock-Watson dataset. In addition, we suggest that diffusion indexes constructed as the partial sum of the factor estimates can potentially be useful for the study of business cycle chronology. Supplementary materials for this article are available online.
Editor: Alexandria: Taylor & Francis
Idioma: Inglês

Voltar para lista de resultados