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Julia as a universal platform for statistical software development

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  • David Roodman

Abstract

Like Python and Java, which are integrated into Stata, Julia is a free programming language that runs on all major operating systems. The julia package links Stata to Julia as well. Users can transfer data between Stata and Julia at high speed, issue Julia commands from Stata to analyze and plot, and pass results back to Stata. Julia's econometric software ecosystem is not as mature as Stata's or R's, or even Python's. But Julia is an excellent environment for developing high-performance numerical applications, which can then be called from many platforms. The boottest program for wild bootstrap-based inference (Roodman et al. 2019) can call a Julia back end for a 33-50% speed-up, even as the R package fwildclusterboot (Fischer and Roodman 2021) uses the same back end for inference after instrumental variables estimation. reghdfejl mimics reghdfe (Correia 2016) in fitting linear models with high-dimensional fixed effects but calls an independently developed Julia package for tenfold acceleration on hard problems. reghdfejl also supports nonlinear models--preliminarily, as the Julia package for that purpose matures.

Suggested Citation

  • David Roodman, 2024. "Julia as a universal platform for statistical software development," Papers 2404.09309, arXiv.org, revised Apr 2024.
    • Handle: RePEc:arx:papers:2404.09309
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    References listed on IDEAS

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