Competition Economics and Antitrust Modeling with Python: A Practical Guide to Market Power, Pricing, Mergers, and Industrial Organization - Softcover

Thatch, Oliver J.

9798196415012: Competition Economics and Antitrust Modeling with Python: A Practical Guide to Market Power, Pricing, Mergers, and Industrial Organization

Softcover

ISBN 13: 9798196415012

Publisher: Independently published, 2026

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Competition Economics and Antitrust Modeling with Python is a practical guide to analyzing market structure, firm behavior, pricing power, merger effects, and industrial organization using modern computational methods.

Designed for economists, analysts, policy researchers, consultants, students, and technically minded professionals, this book shows how Python can be used to model real-world competition questions with greater clarity and precision. Readers are introduced to the economic foundations of market power, demand estimation, price competition, concentration measures, platform markets, merger simulation, and regulatory analysis.

The book bridges theory and implementation. Instead of treating antitrust economics as a purely legal or conceptual subject, it demonstrates how core ideas can be translated into reproducible analytical workflows. Topics include market definition, Herfindahl-Hirschman Index calculations, pricing models, elasticity estimation, differentiated product competition, merger impact analysis, entry barriers, platform dynamics, and policy-oriented scenario testing.

Inside, readers will learn how to:

Analyze market concentration and competitive structure
Model pricing behavior and strategic firm interaction
Estimate demand, elasticity, and consumer response
Simulate merger effects and potential competitive harm
Apply Python to industrial organization and antitrust questions
Build transparent models for economic policy and regulatory analysis

This book is especially useful for readers who want to move beyond abstract theory and develop practical tools for competition analysis. It provides a structured path from economic concepts to applied Python models, helping readers understand how market power forms, how firms compete, and how regulators evaluate competitive outcomes.

Competition Economics and Antitrust Modeling with Python is a technical but accessible resource for anyone working at the intersection of economics, data analysis, regulation, consulting, and computational modeling.

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