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#econometrics

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📢 Exciting news! **v1.0** of my PairPlot package for #Gretl is now available!

This release includes important bug fixes and improvements to enhance your experience with scatterplot matrices using gnuplot in Gretl.

Check out the details and get started on GitHub: [Pairplot repository](github.com/atecon/pairplot)

GitHubGitHub - atecon/PairPlot: Scatterplot matrices with gnuplot using gretlScatterplot matrices with gnuplot using gretl. Contribute to atecon/PairPlot development by creating an account on GitHub.

New #paper out: « The impact of the #COVID19 pandemic on women’s contribution to public code » (Empir. Softw. Eng. 30(1): 25 (2025)) where we establish, using #econometrics techniques and relying on the @swheritage archive, that the pandemic disproportionately impacted women's ability to contribute to the development of public code, relatively to men. #Openaccess preprint at: hal.science/hal-04716803/

With A. Casanueva, D.Rossi, and @Zimm_i48

hal.scienceThe Impact of the COVID-19 Pandemic on Women's Contribution to Public CodeDespite its promise of openness and inclusiveness, the development of free and open source software (FOSS) remains significantly unbalanced in terms of gender representation among contributors. To assist open source project maintainers and communities in addressing this imbalance, it is crucial to understand the causes of this inequality. In this study, we aim to establish how the COVID-19 pandemic has influenced the ability of women to contribute to public code. To do so, we use the Software Heritage archive, which holds the largest dataset of commits to public code, and the difference in differences (DID) methodology from econometrics that enables the derivation of causality from historical data. Our findings show that the COVID-19 pandemic has disproportionately impacted women's ability to contribute to the development of public code, relatively to men. Further, our observations of specific contributor subgroups indicate that COVID-19 particularly affected women hobbyists, identified using contribution patterns and email address domains.

🐦✨ Exciting news, #Gretl users! The latest issue of Computational Statistics is out, featuring 5 articles on our favorite opensource econometrics & statistics software! 🎉📊

These articles explore advanced modeling techniques such as
- Bayesian VARs
- Time-varying parameter model

It's fantastic to see Gretl gaining recognition in the academic community!

Check out the full issue here:
link.springer.com/journal/180/

Replied in thread

@jeanas I won’t leak the author, but my guess is that you can pick any #econometrics paper studying policy impact on CO2 emissions and you will find the same. Pick for example that one where you’ll find the following equation in the Supplementary Information: science.org/doi/10.1126/scienc

Without logarithms the equation would make sense, with logarithms it’s just bullshit.

The author also pointed out that Bayer and Aklin (2020, PNAS) use the same methodology.