A Quarter-Century Analysis of the Turkish Competition Board’s Decisions
Co-authors · with C. Peker and M. Üyer
We took all 3,369 infringement decisions the Turkish Competition Board published over roughly twenty-five years and analyzed them as one dataset, which nobody had done before. Combining NLP with economic analysis, the paper traces how the Board’s reasoning and rulings moved across industries and decision types. Patterns that would have taken a team months to find by hand showed up in days.
The dataset itself is part of the contribution. Building it opened the door to a research program, including the citation network study below.
Why it matters
- It shows that a national agency’s full decision record can be treated as a research dataset.
- It maps how the agency’s practice has moved across industries and over time.
- And it makes a larger claim. As we put it in the paper: “this research demonstrates the potential of large language models to open up new avenues of inquiry in text-intensive disciplines such as law and economics.”