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An Overview of Economics and Econometrics Related R Packages

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  • Despina Michelaki

    (Department of Economics, University of Crete, 74100 Rethymnon, Greece)

  • Michail Tsagris

    (Department of Economics, University of Crete, 74100 Rethymnon, Greece)

  • Christos Adam

    (Department of Economics, University of Crete, 74100 Rethymnon, Greece)

Abstract

This study provides a systematic overview of 207 econometrics-related R packages identified through CRAN and the Econometrics Task View. Using descriptive and inferential statistics and text mining to compute the word frequency and association among words (n-grams and correlations), we evaluate the development patterns, documentation practices, publication outcomes, and methodological scope. The findings reveal that most packages are created by small-to-mid-sized teams in Europe and North America, with mid-sized collaborations and packages including vignettes being significantly more likely to achieve journal publication. While reverse dependencies indicate strong ecosystem integration, they do not predict publication, and Bayesian or dataset-only packages remain underrepresented. Growth has accelerated since 2010, but newer packages exhibit fewer updates, raising concerns about sustainability. These findings highlight both the central role of R in contemporary econometrics and the need for broader participation, methodological diversity, and long-term maintenance.

Suggested Citation

  • Despina Michelaki & Michail Tsagris & Christos Adam, 2025. "An Overview of Economics and Econometrics Related R Packages," Stats, MDPI, vol. 8(4), pages 1-13, September.
    • Handle: RePEc:gam:jstats:v:8:y:2025:i:4:p:85-:d:1758570
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