Peng, Xiaoxuan (2024) Predicting Unemployment Rate Using Literacy Rate with Neural Network. In: Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17–19, 2023, Beijing, China.
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Abstract
The outbreak of the epidemic profoundly affected multiple industries, resulting in a sharp surge in unemployment during its peak. While many sectors have seemingly recovered, unemployment rates in certain regions have not reverted to their pre-epidemic levels. Intriguingly, the literacy rate has rem
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 17:16 |
| Last Modified: | 17 Apr 2026 00:14 |
| URI: | http://eprints.eai.eu/id/eprint/47631 |
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