Fifty Years of Abstracts in Economie et Statistique

Julie Djiriguian and François Sémécurbe

Economie et Statistique / Economics and Statistics, 2019, issue 510-511-512, 7-11

Abstract: [eng] Natural language processing, is nowadays a toolbox routinely used to explore the content of various texts. On the occasion of the 50th anniversary of the journal Économie et Statistique (then Economie et Statistique / Economics and Statistics), we propose in this short article an application to the abstracts of the 2,184 “academic” articles that were published in this journal. Which words are most frequently used? What underlying topics do they suggest and have these topics changed over the years?

JEL-codes: C38 C63 (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:nse:ecosta:ecostat_2019_510t_2

DOI: 10.24187/ecostat.2019.510t.1999

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