Introducción a la aplicación de la estadìstica en casos de antitrust (¡acceso gratuito para miembros de autoridades de la competencia!)

El Competition Policy International (CPI) realizará un curso virtual de Introducción a la aplicación de la estadística en casos de antitrust ("An Introduction to Statistics in Antitrust Litigation"). El curso estará a cargo del profesor Michael Salinger (Boston University) a través de la "Plataforma de Educacición Global" del CPI.

El curso inicia el miércoles 21 de enero (abajo transcribo el programa) y consta de cuatro sesiones de una hora de duración. El costo de las cuatro sesiones es de USD$ 129 aunque también es posible registrarse para cada sesión individual (que tienen costo c/u de USD$ 49).

Lo que me parece más destacado del programa es que según informa el blog del profesor Daniel Sokol, el CPI ofrece acceso gratuito para miembros de autoridades la competencia. ¡Así que adelante muchachos, sin pena a registrarse escribiendo a LearningCenter@competitionpolicyinternational.com! (Ahora, recordando a M. Friedman: Is there such a thing as a free antitrust course?).

"This course provides an introduction to the use of expert statistical presentation in antitrust litigation. It will focus on how to use statistical analysis in litigation to organize data and ultimately establish a fact or set of facts. Professor Salinger will demystify esoteric statistical concepts that are crucial to understanding statistical
evidence. Professor Salinger also will address how to prepare and present expert statistical testimony more effectively in court.

In this course, you’ll learn:

* What can (and cannot) be learned from data analysis

* How to work with mathematical models

* Techniques for organizing data: distribution and densities

Professor Salinger’s course has significant professional and practical content for attorneys practicing in the antitrust and competition policy arenas, both domestically and abroad. While the principles covered will be general, the course will be organized around two examples from antitrust: market definition and the effect of a
conspiracy.

Course Schedule:

Session 1: The Objective of Statistics – Wednesday, January 21, 2009 at 12 pm E.S.T.Topics: What can (and cannot) be learned from data analysis, Nature of mathematical modeling, Organizing data: Distributions and Densities

Session 2: Statistics of One Variable – Wednesday, January 28, 2009 at 12 pm E.S.T.Topics: Measures of central tendency, Measures of dispersion, Precision of estimates, Hypothesis tests and statistical significance

Session 3: Statistical Relationship between Two Variables – Wednesday, February 4, 2009 at 12 pm E.S.T.Topics: Scatter plots, Simple regression, Correlation

Session 4: Statistical Relationships among More Than Two Variables – Wednesday, February 11, 2009 at 12 pm E.S.T.Topics: Multiple regression, Meaning of / Controlling for another variable"