Nowcasting inflation expectations using twitter
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| Title: | Nowcasting inflation expectations using twitter |
|---|---|
| Authors: | Gorham, Nicholas |
| Contributors: | Han, Qiwei |
| Publication Year: | 1486 |
| Collection: | Repositório da Universidade Nova de Lisboa (UNL) |
| Subject Terms: | Nowcasting, Twitter, Inflation expectations, Dynamic topic modelling, CEMS MIM, Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
| Description: | This study explores the potential of Twitter to forecast inflation expectations through various machine learning models. Twitter-based measures of inflation were shown to be correlated with survey-based inflation expectations. No single regression model was consistently superior, although PCA-Ridge appears to be appropriate. The study also unveiled potential issues with data cleaning, model overfitting, and limitations in available data. These findings advance the understanding of economic forecasting using unconventional data sources, opening pathways for future research. |
| Document Type: | master thesis |
| Language: | English |
| Relation: | UID/ECO/00124/2013; http://hdl.handle.net/10362/173357; 203366670 |
| Availability: | http://hdl.handle.net/10362/173357 |
| Rights: | embargoedAccess |
| Accession Number: | edsbas.1512FE71 |
| Database: | BASE |
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