Can AI Write Your Code?
A recent study evaluates ChatGPT's ability to generate code for complex causal inference tasks in Python, R, and Stata. The research focuses on three widely used methods: Difference-in-Differences, Inverse Probability Treatment Weighting, and Regression Discontinuity. By comparing ChatGPT's outputs to standardized benchmarks, the study aims to provide a more objective assessment of AI's coding capabilities in quantitative research.
- ▪The study was published in Health Economics Review and focuses on ChatGPT-4.0 Pro's coding abilities.
- ▪It evaluates ChatGPT's performance against benchmark solutions from Causal Inference: The Mixtape.
- ▪The research includes Stata, a language often used in empirical research but less frequently analyzed in AI coding studies.
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| Original publisher | Towards Data Science |
| Canonical URL | https://towardsdatascience.com/can-ai-write-your-code/ |
| Publication time | Mon, 25 May 2026 17:15:24 +0000 |
| Retrieval time | 2026-05-25T17:22:38.846Z |
| Last seen | 2026-05-25T17:22:38.846Z |
| Headline source | Publisher (no WeSearch rewrite) |
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| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
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| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Commercial reuse | May the content be reused commercially? | Not permitted |
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Opening excerpt (first ~120 words) tap to expand
Can AI Write Your Code? What a recent study on ChatGPT, Python, R, and Stata tells us about AI-assisted coding for causal inference JUNIOR JUMBONG May 25, 2026 15 min read Share Image generated with ChatGPT What if the real question is no longer whether AI can write code, but whether we can trust the code it writes? Over the past few years, ChatGPT and other large language models have become increasingly common in the daily workflow of students, analysts, researchers, and data scientists. Many of us have already used AI tools to generate a Python function, debug an error message, automate a repetitive task, or quickly translate code from one language to another.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Towards Data Science.
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