Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/309960 
Year of Publication: 
2024
Series/Report no.: 
Cardiff Economics Working Papers No. E2024/11
Publisher: 
Cardiff University, Cardiff Business School, Cardiff
Abstract: 
We propose a high-frequency digital economy index by combining official white papers and big data. It aims to resolve the discrepancy between the new economic reality and old economic indicators used by decision-makers and policymakers. We have demonstrated a significant effect due to keyword rotations on the indices. Further analysis of the Dagum-Gini coefficient shows that spatial heterogeneity and temporal variation of the digital economy indices can be mainly attributed to between-group inequality
Subjects: 
Digital Economy
High-Frequency Index
Big Data
Text Analysis
Hierarchical Dynamic Factor Model
JEL: 
O33
O53
C38
Document Type: 
Working Paper

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