An Overview of Economics and Econometrics Related R Packages

Despina Michelaki, Michail Tsagris () and Christos Adam
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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

Stats, 2025, vol. 8, issue 4, 1-13

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.

Keywords: economics; econometrics; R statistical software (search for similar items in EconPapers)
JEL-codes: C1 C10 C11 C14 C15 C16 (search for similar items in EconPapers)
Date: 2025
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