Predicting growth by reading the newspaper

Use continuous press articles to build an indicator to help forecast growth
Insee
machine learning
experiment
forecasts
webscraping
Published

1 March 2021

Project summary

Construction of an economic sentiment indicator based on press articles to forecast economic growth
Project details The information produced by the media is reactive, abundant and covers a wide range of economic fields. In addition, text analysis (text mining) and automated online data collection (webscraping) techniques can be used to develop indicators that summarise this wealth of information. The aim of the experiment is to estimate the added value of a media indicator associated with economic activity by complementing existing business surveys. This experiment complements pre-existing work, which is seeking to construct an indicator to help predict GDP on the basis of the archives of the newspaper Le Monde, by mobilising complementary journalistic sources and reviewing the models used.
Players Insee
Project results An indicator of current media sentiment was constructed on the basis of the tone of press articles.
Project products and documentation - Information gleaned from press articles can help predict economic activity in real time Economic outlook, December 2020 ;
- French economic activity through press articles Economic Outlook, March 2021 ;
- Predicting economic activity from press articles (abstract in English), 2022 Statistical Methodology Days (Journées de méthodologie statistique 2022)

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