Natural language processing, is nowadays a toolbox routinely used to explore the content of various texts. On the occasion of the 50^th 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?

Citation: Djiriguian, J. & Sémécurbe, F. (2019). Fifty Years of Abstracts in the Journal Economie et Statistique. Economie et Statistique / Economics and Statistics, 510-511-512, 7–11. https://doi.org/10.24187/ecostat.2019.510t.1999