Template-type: ReDIF-Paper 1.0
Author-Name: Dr. Christian Hepenstrick
Author-Name-First: Christian
Author-Name-Last: Hepenstrick
Author-Person: phe328
Author-Name: Jason Blunier
Author-Name-First: Jason
Author-Name-Last: Blunier
Title: What were they thinking? Estimating the quarterly forecasts underlying annual growth projections
Abstract: Many prominent forecasters publish their projections at an annual frequency. However, for applied work, an estimate of the underlying quarterly forecasts is often indispensable. We demonstrate that a simple state-space model can be used to obtain good estimates of the quarterly forecasts underlying annual projections. We validate the methodology by aggregating professional forecasts for quarterly GDP growth in the United States to the annual frequency and then applying our imputation methodology. The imputed forecasts perform as well as the original quarterly forecasts. Applying the imputation methodology to Consensus forecasts for other advanced economies provides further evidence of the good performance of our proposed methodology.
Length: 31 pages
Creation-Date: 2022
Contact-Email: forschung@snb.ch
File-URL: https://www.snb.ch/en/publications/research/working-papers/2022/working_paper_2022_05
File-Format: text/html
Number: 2022-05
Classification-JEL: C53, E37
Keywords: Forecasting, frequency disaggregation, survey expectations
Handle: RePEc:snb:snbwpa:2022-05