Publication Type
Journal Article
Version
publishedVersion
Publication Date
4-2023
Abstract
This Special Feature considers how accurately professional forecasters have predicted GDP growth and inflation in Singapore, especially during rare events such as the Global Financial Crisis (GFC) and COVID-19. It also illustrates the value of forecast probability distributions in inferring forecasters’ uncertainty when making predictions, and the degree of consensus between projections from different forecasters. The authors find that one-year ahead forecast errors for GDP growth and inflation increased during the GFC and the COVID-19 pandemic. While professional forecasters did not appear to have followed the Government’s forecasts when predicting growth during the GFC, they may have exhibited ”leader-following” behaviour when forecasting growth and inflation during COVID-19. Similarly, forecasters appear to exhibit herding behaviour during both crises. During the pandemic, moreover, the rise in forecast uncertainty was traced to a more volatile economic policy environment. Collectively, the paper’s results suggest that inflation expectations were well-anchored throughout the sample period.
Keywords
Professional Forecasters, Behavioural Explanations, Forecast Probability Distributions
Discipline
Asian Studies | Macroeconomics
Research Areas
Macroeconomics
Publication
Macroeconomic Review
Volume
XXII
Issue
1
First Page
101
Last Page
110
ISSN
0219-8908
Publisher
Monetary Authority of Singapore
Citation
CHOW-TAN, Hwee Kwan and CHOY, Keen Meng.
Economic forecasting in Singapore: The Covid-19 experience. (2023). Macroeconomic Review. XXII, (1), 101-110.
Available at: https://ink.library.smu.edu.sg/soe_research/2706
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://www.mas.gov.sg/publications/macroeconomic-review/2023/volume-xxii-issue-1-apr-2023