Predicting merger decision outcomes of the European Commission: A Natural Language Processing and Machine Learning approach
-
Updated
Jun 30, 2023 - Jupyter Notebook
Predicting merger decision outcomes of the European Commission: A Natural Language Processing and Machine Learning approach
The research estimates the effects of mergers of digital ecosystems with Russian startups in different niches of the venture investment in these niches.
🚫️🏦️🚫️ Information about Google as a monopoly. https://github.com/seanpm2001/DeGoogle-your-Life/
The Relevant Market for Music Streaming: Market Definition and Measurement Challenges
Database of mergers notified under formal notification regime in Australia
An enterprise-grade quantitative antitrust toolkit engineered for economists, pricing strategists, and regulatory analysts. This package automates the calculation of the Herfindahl-Hirschman Index (HHI), flags regulatory risks, and simulates the market impact of corporate mergers under the joint U.S. DOJ and FTC Horizontal Merger Guidelines.
Final paper respository for DATA 0080: Data, Ethics, and Society
公正取引委員会の排除措置命令・取適法勧告のデータセットと MCP サーバー。361件・全件に出典URL。違反の判定はしない。
The article evaluates the effect of the enforcement activities of the Federal Antimonopoly Service of Russia on the market value of companies in the oil industry [reputational costs] (In Russian)
Calibrated merger simulation and antitrust screening: price effects, required synergies and guideline screens from shares, prices and margins.
Bare-metal sovereign stack, formal JSON schemas, and zero-rent Python verification engines for game-theoretic disintermediation and forensic systems auditing.
Duane Morris — independent third-party profile of a public API surface, by API Evangelist. Duane Morris LLP is a Philadelphia-headquartered, full-service U.S. and international law firm founded in 1904 by Russell Duane, Steven Heckscher, and Roland S. Morris. Chaired by Matthew A. Taylor, the firm describes itself as "a law firm with more than 900
A simulation testbed for detecting algorithmic collusion, including tacit Q-learning cartels.
What agent logs can and cannot prove about AI collusion: transfer, permission and arrangement, tested against built look-alikes (Apart AI Collusion Research Sprint 2026)
The Undercover Firm: a scripted undercover competitor invites LLM pricing agents to fix prices. Apart Research AI Collusion Sprint, Oct 2026.
Professional Basketball Competitive Markets Act — citizen-drafted policy proposal
To associate your repository with the antitrust topic, visit your repo's landing page and select "manage topics."