NOWCASTING 'TRUE' MONTHLY U.S. GDP DURING THE PANDEMIC. (2021)

• Record Type: Journal Article
• Authors: Koop, Gary; McIntyre, Stuart; Mitchell, James; Poon, Aubrey
• Is Part Of: National Institute economic review. Volume 256:Number 1(2021)
• Page Start: 44
• Page End: 70
• Publication Date: 2021
• Subjects: pandemic -- nowcasting -- mixed-frequency vector autoregression -- Bayesian; E01 -- E32; Economic history -- 1945- -- Periodicals; Economics -- Great Britain -- Periodicals; Great Britain -- Economic conditions -- 1945-1964 -- Periodicals; 330.941
• DOI: 10.1017/nie.2021.8
• Languages: English
• ISSNs: 0027-9501

Abstract

Abstract : Expenditure-side and income-side gross domestic product (GDP) are measured at the quarterly frequency and contain measurement error. Econometric methods exist for producing reconciled estimates of underlying true GDP from these noisy estimates. Recently, the authors of this paper developed a mixed-frequency reconciliation model which produces monthly estimates of true GDP. In the present paper, we investigate whether this model continues to work well in the face of the extreme observations that occurred during the pandemic year and consider several extensions of it. These include stochastic volatility and error distributions that are fat-tailed or explicitly allow for outliers.