In an era characterized by rapid technological advancements and increased use of data, the ability to analyze and understand competitive dynamics has become more crucial than ever. Governments, regulatory bodies, and businesses alike are grappling with the challenges posed by complex market interactions, requiring a sophisticated understanding of quantitative methods.

The BSE Quantitative Methods for Competition Analysis Course provides participants (economists, lawyers, and practitioners working for firms or agencies) with a thorough understanding of recent empirical methods to measure market power and competition, with applications to market definition, merger analysis, abusive practices in digital industries, and damages from anticompetitive conduct.

The program's faculty includes leading academic economists in the area of industrial organization and competition policy, and practitioners with extensive experience in quantitative methods for competition.

A team of leading academics and practitioners will walk you through the latest methods for competition cases analysis

During this course you will:

• Review established and recent quantitative methods for competition analysis, with a proper balance between techniques and interpretation also accessible to non-economists

• Acquire practical insights into the application of techniques through a comprehensive exploration of recent cases, equipping you to navigate real-world scenarios with confidence.

• Learn about the practical considerations to apply techniques, based on the lessons from various recent cases where quantitative techniques have been applied

• Develop a good common sense of the advantages and disadvantages of different approaches, and the circumstances under which they are (not) suitable

• Acquire a thorough understanding of the data requirements for applying various techniques

• Learn how to work with big datasets and use quantitative techniques to analyze big data

Review actual cases and learn to apply the concepts in practice with hands-on sessions

Three practical sessions (plus an introductory session to review basic Stata commands for data management and estimation) will illustrate how to implement the econometric techniques with standard software (Stata), covering demand estimation, merger simulation, and treatment effects.

Every participant taking this course will receive a free STATA license several days before the start of the course.

Chatham House Rule

To promote a frank, open, and constructive discussion, this course will be conducted under the Chatham House Rule, which states that "participants are free to use the information received, but neither the identity nor the affiliation of the speaker(s), nor that of any other participant, may be revealed."