Nowcasting euro area GDP with news sentiment: A tale of two crises
Year of publication: |
2021
|
---|---|
Authors: | Ashwin, Julian ; Kalamara, Eleni ; Saiz, Lorena |
Publisher: |
Frankfurt a. M. : European Central Bank (ECB) |
Subject: | Text analysis | Forecasting | Machine learning | Business cycles | COVID-19 |
Series: | ECB Working Paper ; 2616 |
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Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Working Paper |
Language: | English |
ISBN: | 978-92-899-4869-2 |
Other identifiers: | 10.2866/240669 [DOI] 1783534281 [GVK] hdl:10419/249889 [Handle] RePEc:ecb:ecbwps:20212616 [RePEc] |
Classification: | C43 - Index Numbers and Aggregation ; C45 - Neural Networks and Related Topics ; c55 ; C82 - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data ; E37 - Forecasting and Simulation |
Source: |
-
Nowcasting euro area GDP with news sentiment : a tale of two crises
Ashwin, Julian, (2021)
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Nowcasting Euro Area GDP with News Sentiment : A Tale of Two Crises
Ashwin, Julian, (2021)
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Nowcasting euro area GDP with news sentiment : a tale of two crises
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