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Fast and user-friendly econometrics estimations: The R package fixest

Author

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  • Laurent R. Berg'e
  • Kyle Butts
  • Grant McDermott

Abstract

fixest is an R package for fast and flexible econometric estimation, providing a comprehensive toolkit for applied researchers. The package particularly excels at fixed-effects estimation, supported by a novel fixed-point acceleration algorithm implemented in C++. This algorithm achieves rapid convergence across a broad class of data contexts and further enables estimation of complex models, including those with varying slopes, in a highly efficient manner. Beyond computational speed, fixest provides a unified syntax for a wide variety of models: ordinary least squares, instrumental variables, generalized linear models, maximum likelihood, and difference-in-differences estimators. An expressive formula interface enables multiple estimations, stepwise regressions, and variable interpolation in a single call, while users can make on-the-fly inference adjustments using a variety of built-in robust standard errors. Finally, fixest provides methods for publication-ready regression tables and coefficient plots. Benchmarks against leading alternatives in R, Python, and Julia demonstrate best-in-class performance, and the paper includes many worked examples illustrating the core functionality.

Suggested Citation

  • Laurent R. Berg'e & Kyle Butts & Grant McDermott, 2026. "Fast and user-friendly econometrics estimations: The R package fixest," Papers 2601.21749, arXiv.org.
  • Handle: RePEc:arx:papers:2601.21749
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    File URL: http://arxiv.org/pdf/2601.21749
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