Introduction to the session theme:

Nowcasting is an emerging topic in official statistics that is receiving a great deal of attention due to it's potential to provide estimates to meet user needs for information in near real-time. This desire was particularly apparent during the COVID-19 pandemic in order for general monitoring of the economy and to support evidence-based decision making. Agencies around the world are evaluating these methods, and a number of competing techniques have been developed. This session will contrast a number of potential models including machine learning models, traditional time series models, and other complex automated models designed specifically for this context.

Organiser: Mr Steve Matthews 

Chair: Etienne Rassart  

Speaker: Jean Palate 

Speaker: Sercan Eraslan 

Speaker: Tucker McElroy  

Discussant:  Rafal Kulik