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Fifty Years of Abstracts in Economie et Statistique

Author

Listed:
  • Julie Djiriguian
  • François Sémécurbe

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?

Suggested Citation

  • Julie Djiriguian & François Sémécurbe, 2019. "Fifty Years of Abstracts in Economie et Statistique," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 510-511-5, pages 7-11.
    • Handle: RePEc:nse:ecosta:ecostat_2019_510t_2
    DOI: https://doi.org/10.24187/ecostat.2019.510t.1999
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    More about this item

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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