Can machine learning algorithms lead to more accurate nowcasts of Singapore's GDP?

• Main Authors: Cheong, Wei Si, Tan, Hong Bing, Wise, Vincent
• 其他作者: WANG, Wei-Siang
• 格式: Final Year Project
• 語言: English
• 出版: Nanyang Technological University 2021
• 主題: Social sciences::Economic theory
• 在線閱讀: https://hdl.handle.net/10356/147309

This paper investigates if machine learning (ML) models are able to produce accurate real-time nowcasts of Singapore’s GDP. Adopting dynamic factors with the Kalman smoother approach to simulate a realistic nowcasting exercise that incorporates the publication lags of variables, we evaluate the...