IDEAS home Printed from https://ideas.repec.org/p/boc/pcon26/1.html

Augmenting Stata with artificial intelligence

Author

Listed:
  • Miguel Portela

    (University of Minho)

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.

Suggested Citation

Handle: RePEc:boc:pcon26:1
as

Download full text from publisher

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a
for a similarly titled item that would be available.

More about this item

Statistics

Access and download statistics

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:boc:pcon26:1. See general information about how to correct material in RePEc.

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

We have no bibliographic references for this item. You can help adding them by using this form .

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/stataea.html .

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.