Real-time nowcasting the US output gap: Singular spectrum analysis at work

Miguel Carvalho, António Rua

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)


We explore a new approach for nowcasting the output gap based on singular spectrum analysis. Resorting to real-time vintages, a recursive exercise is conducted in order to assess the real-time reliability of our approach for nowcasting the US output gap, relative to some well-known benchmark models. For our application of interest, the preferred version of our approach is a multivariate singular spectrum analysis, where we use a Fisher g test to infer which components, within the standard business cycle range, should be included in the grouping step. We find that singular spectrum analysis provides a reliable assessment of the cyclical position of the economy in real time, with the multivariate approach outperforming its univariate counterpart substantially.

Original languageEnglish
Pages (from-to)185-198
JournalInternational Journal of Forecasting
Issue number1
Publication statusPublished - Jan 2017


  • Band-pass filter
  • Fisher g test
  • Multivariate singular spectrum analysis
  • Real-time data
  • Singular spectrum analysis
  • US output gap


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