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

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...

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Bibliographic Details
Main Authors: Cheong, Wei Si, Tan, Hong Bing, Wise, Vincent
Other Authors: WANG, Wei-Siang
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/147309
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Institution: Nanyang Technological University
Language: English