Enrichment of the Banque de France s monthly business survey: lessons from textual analysis of business leaders comments

Gerardin Mathilde, and Ranvier Martial.

Working papers from Banque de France

Abstract: In the context of the Banque de France s monthly business survey, this document presents the main findings of the textual analysis of business leaders comments. First, the richness of these data is illustrated via an elementary sentiment index and the identification of the main social movements since 2009 by means of keywords. Then, the article presents two statistical applications whose reproducibility is discussed. The first one, applied to the 2018 yellow vests and the 2019 strikes, aims to estimate the impact on GDP of an event whose effect is unequivocal. The second, backed by the study of Brexit, aims to characterize, using a supervised learning model and word vectors, the effects of a complex event with multiple impacts.

Keywords: Textual Analysis; Business Survey; Sentiment Index; Keywords; Word Vectors; Brexit; Social Movements. (search for similar items in EconPapers)
JEL-codes: C21 C45 C52 D22 E32 (search for similar items in EconPapers)
Pages: 59 pages
Date: 2021
New Economics Papers: this item is included in nep-big, nep-isf and nep-mac
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https://publications.banque-france.fr/sites/defaul ... /documents/wp821.pdf

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Persistent link: https://EconPapers.repec.org/RePEc:bfr:banfra:821

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