Augmenting Stata with artificial intelligence

Miguel Portela
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Miguel Portela: University of Minho

Portugal Stata Conference 2026 from Stata Users Group

Abstract: Artificial intelligence (AI) is rapidly transforming empirical research by reshaping how analysts write code, design workflows, and extend statistical software. This keynote examines how AI can enhance the use of Stata by improving productivity, lowering programming barriers, and enabling more powerful analytical tools. It illustrates practical applications of AI in Stata programming, including code generation, debugging, and optimization, and showcases how AI-assisted approaches can streamline common development tasks. A central focus is the use of AI in the development and modernization of Stata packages, with a detailed case study demonstrating how an existing command can be redesigned and reimplemented using a Stata plugin architecture, yielding substantial performance gains through compiled code and high-efficiency backends while preserving Stata's usability. The presentation discusses how integrating AI into Stata workflows creates opportunities for faster computation and expanded community-driven innovation, reinforcing Stata's role as a flexible and evolving tool for empirical research.

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Persistent link: https://EconPapers.repec.org/RePEc:boc:pcon26:1

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